239 AI & Emerging Technologies jobs in Columbus

Your Journey at Crowe Starts Here:

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.

Job Description:

About Crowe AI

Everything we do is about making the future of human work more purposeful. We do this by leveraging state-of-the-art machine learning, modern architectures, and industry experts, to create AI-powered solutions that transform the way we do business.

As a member of AI Engineering, you are a builder excited to realize an AI idea's impact at scale, distinguishing Crowe in the market and driving the firm's technology and innovation strategy.

About the Team

• We foster good science . You are given the time and resources to build your expertise in your project and beyond; you will guide fellow MLEs and product stakeholders through your work.

• We want to make good scientists better . MLEs have plenty of options on the job market. We want to be one of the best. We have regular ethics and book club meetings, monthly lightning talks where team members teach each other, support for conferences, and weekly "10P" independent time for ongoing learning.

• We truly value work-life balance. Our distributed team offers unlimited PTO and a flexible work-from-home policy. We actively discourage weekend and off-hours work (unless that's genuinely your thing).

About the Role

• You will be responsible for developing and maintaining scalable APIs and Kubernetes environments that support the deployment and operation of machine learning models at Crowe. Your role is crucial in ensuring that our AI solutions are robust, efficient, and meaningfully transform business offerings.

• Design and development of backend services supporting AI workloads, including REST/gRPC APIs, job orchestration, asynchronous task processing, data/model lifecycle management, and service-to-service communication.

• Design, build, and maintain scalable and robust APIs that integrate with Crowe's machine learning models.

• Deploy and manage Kubernetes environments to ensure the reliable operation of our AI systems.

• Collaborate with Machine Learning Engineers teams to take AI solutions from Proof of Concept to production readiness.

• Implement system architectures that support scaling and distributed computing needs.

• Ensure the stability and security of AI deployments through design and execution of rigorous testing and monitoring.

Required Skills

• 4-8 years' experience maintaining production-grade APIs.

• Software engineering experience in a production environment, with a strong background in system design and architecture.

• Expertise in programming languages such as Python and JavaScript . You're experienced writing scalable, production-level code sufficient to thoroughly review code and mentor on general programming best practices.

• Solid understanding of scaling strategies and distributed computing principles.

• Demonstrated interface savviness, including experience creating and interacting with RESTful HTTPS API's, websockets, and webhooks.

• Experience with at least one Cloud Computing platform (experience with Microsoft Azure a plus).

• Experience with serverless functions, e.g., OpenFaaS

Preferred Skills

• Power Platform, Azure AI Studio, and other Microsoft stack exposure for AI solution deployment.

• Certified Kubernetes Application Developer (CKAD) certification or similar credentials.

• Demonstrated commitment to DevOps best practices and continuous improvement.

• You want to stay fresh with regards to practicing engineering. Continuous improvement is a mantra for you as any system you work with gradually improves over time.

• You enjoy machine learning. You've gone deeper than reading blog posts and playing around with ChatGPT.

#Remote

We expect the candidate to uphold Crowe's values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.

Our Benefits:
Your exceptional people experience starts here. At Crowe, we know that great peopleare what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you!

How You Can Grow:
We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!

More about Crowe:
Crowe ( is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world.

Crowe LLP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws.

Crowe will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws. Please visit our webpage to see notices of the various state and local Ban-the-Box laws and Fair Chance Ordinances, where applicable.

• Collaborate with stakeholders to understand business objectives and define requirements for anomaly detection.
• Develop, optimize, and maintain computational models for debit transaction anomaly detection using AI/ML techniques.
• Perform data analysis, generate insights, and identify patterns to support decision-making.
• Design and implement statistical models, including standard deviation calculations, variance thresholds, and probabilistic models to enhance anomaly detection accuracy.
• Work with existing models to apply backtracking methodologies and improve anomaly reduction strategies.
• Leverage machine learning algorithms (e.g., classification, clustering, time-series modeling) to predict, detect, and manage anomalies.
• Collaborate with engineers and business teams to integrate models into production systems.
• Conduct performance monitoring, fine-tuning, and validation of ML models to ensure accuracy and reliability.
• Prepare technical documentation, visualizations, and reports to communicate findings effectively to business and technology stakeholders.

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 10+ years of hands-on experience in data science, AI, or ML engineering.
• Strong proficiency in Python, R, or Scala with experience using data science libraries (e.g., NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow).
• Solid understanding of Data Science with a heavy focus on statistical modeling and Machine Learning, hypothesis testing, regression analysis, and variance modeling.
• Experience with anomaly detection techniques - supervised, unsupervised, and hybrid approaches.
• Experience in Generative AI based implementations.
• Expertise in working with large datasets using SQL, Spark, or similar data-processing frameworks.
• Strong problem-solving, analytical thinking, and communication skills.
• Experience in deploying ML models into production environments, MLOps, preferably on AWS

The Senior Principal AI/ML Software Engineer is responsible for evaluating, integrating, and optimizing cutting-edge technologies for AI/ML infrastructure, focusing on achieving low latency, high throughput, and efficient resource utilization for both model training and inference at scale. This role guides key strategic decisions related to Oracle Cloud's AI infrastructure offerings, spearheads the design and implementation of scalable orchestration for AI/ML workloadsincorporating the latest research in generative AI and large language modelsand leads initiatives such as Retrieval-Augmented Generation and model fine-tuning. The ideal candidate will design and develop scalable, GPU-accelerated AI services using tools like Kubernetes and Python/Go, and must possess strong programming skills, deep expertise in deep learning frameworks, containerization, distributed systems, and parallel computing, along with a comprehensive understanding of end-to-end AI/ML workflows.

Responsibilities:

• Evaluate, integrate, and optimize state-of-the-art technologies across the stack, for latency, throughput, and resource utilization for training and inference workloads.
• Guide strategic decisions around Oracle Cloud's AI Infra offerings
• Design and implement scalable orchestration for serving and training AI/ML models, Model Parallelism & Performance across the AI/ML Stack
• Explore and incorporate contemporary research on generative AI, agents, and inference systems into the LLM software stack.
• Lead initiatives in Generative AI systems design, including Retrieval-Augmented Generation (RAG) and LLM fine-tuning
• Design and develop scalable services and tools to support GPU-accelerated AI pipelines, leveraging Kubernetes, Python/Go, and observability frameworks.

Qualifications:

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Machine Learning, or a related field (or equivalent experience).
• Experience with Machine Learning and Deep Learning concepts, algorithms and models
• Proficiency with orchestration and containerization tools like Kubernetes, Docker, or similar.
• Expertise in modern container networking and storage architecture.
• Expertise in orchestrating, running, and optimizing large-scale distributed training/inference workloads.
• Have deep understanding of AI/ML workflows, encompassing data processing, model training, and inference pipelines.
• Experience with parallel computing frameworks and paradigms.
• Strong programming skills and proficiency in major deep learning frameworks.

Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $96,800 to $223,400 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

• Medical, dental, and vision insurance, including expert medical opinion
• Short term disability and long term disability
• Life insurance and AD&D
• Supplemental life insurance (Employee/Spouse/Child)
• Health care and dependent care Flexible Spending Accounts
• Pre-tax commuter and parking benefits
• 401(k) Savings and Investment Plan with company match
• Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits.
• 11 paid holidays
• Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
• Paid parental leave
• Adoption assistance
• Employee Stock Purchase Plan
• Financial planning and group legal
• Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC4

About Us: As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sectorand continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@ or by calling in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

• 7+ years building and scaling production ML systems with measurable business impact
• Experience deploying ML systems serving 100M+ predictions daily
• Strong background in ranking algorithms (collaborative filtering, learning-to-rank, deep learning)
• Proficiency with Python and ML frameworks (TensorFlow or PyTorch)
• Skilled with SQL and modern data warehouses (Snowflake, BigQuery, Redshift) plus data lakes
• Familiarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworks
• Track record of improving business KPIs via ML-powered personalization
• Experience with A/B testing platforms and experiment logging best practices

• Build and deploy ML models serving 100M+ predictions per day to personalize user experiences at scale
• Enhance data processing pipelines (Spark, Beam, Dask) with efficiency and reliability improvements
• Design ranking algorithms that balance relevance, diversity, and revenue
• Deliver real-time personalization with latency <50ms across key product surfaces
• Run statistically rigorous A/B tests to measure true business impact
• Optimize for latency, throughput, and cost efficiency in production
• Partner with product, engineering, and analytics to launch high-impact personalization features
• Implement monitoring systems and maintain clear ownership for model reliability

• Technical Mastery: You know ML architecture, deployment, and tradeoffs inside out
• Experimentation Infrastructure: You set up systems for rapid testing and retraining (MLflow, W&B)
• Impact-Driven: You design models that move revenue, retention, or engagement
• Collaborative: You thrive working with engineers, PMs, and analysts to scope features
• Analytical Thinking: You break down data trends and design rigorous test methodologies
• Ownership Mentality: You own your models post-deployment and continuously improve them
• Execution-Oriented: You deliver production-grade systems quickly without sacrificing rigor
• Curious & Innovative: You stay on top of ML advances and apply them to personalization

Become a part of our caring community and help us put health first

The Enterprise AI organization at Humana is a pioneering force, driving AI innovation across our Insurance and CenterWell business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting-edge AI technologies for improving care quality and experience of millions of consumers. We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI for effective risk management and measurement. Join us in shaping the future of healthcare through AI excellence.

We are building advanced agentic systems capable of autonomously managing and decomposing complex goals. We are seeking an expert in agent design, planning, and control to develop and evaluate agents that can set, adapt, and execute goals in dynamic, real-world environments. You’ll contribute to the scientific and engineering foundations that make AI agents reliable, interpretable, and robust across long-horizon tasks.

Key R esponsibilities

• Architect goal setting and goal decomposition mechanisms for autonomous agents operating in uncertain or open-ended environments

• Design and implement dynamic planning systems (e.g., hierarchical planning, curriculum learning, scratchpad/self-refinement loops)

• Collaborate on memory, tool-use, and feedback-loop designs enabling multi-step, self-directed agent behavior

• Develop evaluation frameworks for alignment with human intent, consistency, progress against long-horizon objectives

• Prototype agents that interface with APIs, MCP servers, search engines, databases, or real-world actuators to pursue goals safely and efficiency

• Explore mechanisms to detect and mitigate goal misalignment, looping behavior, or undesirable emergent strategies

• Work across teams to integrate goal alignment with safety, alignment, and operational reliability mechanisms

Technical skills

• Proficiency in SQL, Python, and data analysis/data mining tools.

• Experience with machine learning frameworks like Pytorch, Jax, LangChain, LangGraph or AutoGen

• Experience with high performance, large-scale ML systems

• Experience with language modeling with transformers

• Experience with symbolic planning, causal reasoning, and model-based RL

• Experience with large-scale ETL

Use your skills to make an impact

Required Qualifications

• Master's Degree and 4+ years of experience in research/ML engineering or an applied research scientist position preferably with a focus on developing production-ready AI solutions

• 2+ years of experience leading development of AI/ML systems

Preferred Qualifications

• Ph.D. in Computer Science, Data Science, Machine Learning, or a related field

• Demonstrated experience shipping autonomous, or semi-autonomous agents in production or simulation

• Experience with LLM-based agents with scratchpad/self-reflection or hierarchical task decomposition

• Understanding of autonomy risk mitigation strategies, including off-switch protocols, or bounded rationality

Additional Information

Location/Work Style: Remote US

Why Humana?

At Humana, we know your well-being is important to you, and it’s important to us too. That’s why we’re committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. Just to name a few:

• Work-Life Balance

• Generous PTO package

• Health benefits effective day 1

• Annual Incentive Plan

• 401K - Excellent company match

• Well-being program

• Paid Volunteer Time Off

If you share our passion for helping people, we likely have the right place for you at Humana.

Work at Home Guidance

To ensure Home or Hybrid Home/Office associates’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria:

• At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested

• Satellite, cellular and microwave connection can be used only if approved by leadership

• Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.

• Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job.

• Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

SSN Alert Statement

Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from with instructions on how to add the information into your official application on Humana’s secure website.

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$142,300 - $195,700 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

Application Deadline:

About us

Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our

Sr Data Engineer - GE07BE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

The Hartford's Personal Lines Data Analytics team seeks energetic and passionate Senior Machine Learning Engineer to help build and scale our next-generation Machine Learning Operations (MLOps) & Generative AI (GenAI) platforms. This role blends software engineering, DevOps, and machine learning expertise to deliver robust, scalable, and secure AI/ML solutions. You will be instrumental in enabling our data science teams to deploy models efficiently and responsibly in production environments.

We are looking for talent who embraces our core values:

• We build artificial intelligence/machine learning solutions, not models. We support end-to-end business problems with a focus on systems design.

• We are trusted and transparent, collaborating closely with our partners and considering their capacity for change.

• Our products are delivered with full monitoring solutions to ensure they continue to perform as expected.

• We listen carefully to our customers and become partners in problem-solving with humble confidence.

• We deliver minimally viable products first and expand their sophistication over time based on feedback.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

RESPONSIBILITIES

• Research, experiment with, and implement suitable frameworks, tools, and technologies to enable AI/ML decision-making at scale.

• Participate in identifying and assessing opportunities, such as the value of new data sources and analytical techniques, to ensure ongoing competitive advantage.

• Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.

• Accountable for the ownership of design, development, and maintenance of MLOps and GenAI platforms and services.

• Work with junior engineers and peers to provide mentorship and thought leadership.

• Collaborate with partners Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams.

• Delivery of critical milestones for model deployment in the Google Cloud Platform (GCP) and AWS cloud.

• Develop, adopt, and promote MLOps best practices to the Data Science community.

• Implement infrastructure-as-code using Terraform or CloudFormation to automate deployments .

• Contribute to the development of agentic AI capabilities and support experimentation with LLMs and GenAI frameworks.

Requirements:

• Must be authorized to work in the U.S. now and in the future.

• Bachelor's degree in related field and 5+ years of experience.

• Solid understanding of ML lifecycle: model training, deployment, monitoring, and feedback loops.

• Strong application development experience using Python.

• 3+ years of hands-on experience developing with one of the public clouds including t ools and techniques to auto scale systems.

• Experience with CI/CD and IAC tools (e.g., terraform, Jenkins, GitHub Actions) and containerization (Docker, Kubernetes).

• Good understanding of Generative AI technologies, frameworks, key LLMs, and architecture patterns.

• Exposure to agentic AI architectures and prompt engineering.

• Good understanding and experience building orchestration framework for real-time and batch model services.

• Good understanding of various model development algorithms and types of ML use cases e.g., regression, classification, etc.

• Strong fundamental knowledge of data structures and algorithms

Preferred Skills:

• Development experience for WebService API with AWS suite of Tools.

• Familiarity with big data technologies (i.e., Hadoop, Spark, Hive, etc.) and RDBMS.

• Hands-on experience with public cloud GCP, especially Vertex AI, Cloud Run, BigQuery, and GKE.

• Basic understanding of ML frameworks i.e., Tensorflow, Scikit Learn, etc.

• Experience with Agile framework and scrum/Kanban based project management.

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Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$117,200 - $175,800

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us ( | Our Culture ( | What It's Like to Work Here ( | Perks & Benefits (

Every day, a day to do right.

Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do.

Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable?

That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined.

And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day.

About Us (

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EEO

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MA Applicant Notice (

Become a part of our caring community and help us put health first

The Enterprise AI organization at Humana is a pioneering force, driving AI innovation across our Insurance and CenterWell business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting-edge AI technologies for improving care quality and experience of millions of consumers. We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI for effective risk management and measurement. Join us in shaping the future of healthcare through AI excellence.

We are seeking a Lead Data Scientist to define and drive the new frontier of AI-Human interaction. You will lead the design of adaptive, human-aware AI systems that learn form, respond to, and collaborate with humans in real-world environments. This role blends cutting-edge research, robust experimentation, and product-focused execution to improve user trust, alignment, usability, and agent cooperation across intelligent interfaces.

Key R esponsibilities

• Develop and own ML pipelines for evaluating and improving human-AI interaction across modalities (text, speech, UI/UX feedback, behavioral signals)

• Design adaptive models for intent recognition, dialog state tracking, preference learning, and multi-turn personalization

• Lead human-in-the-loop data collection strategies and feedback integration to fine-tune agent behaviors

• Partner with UX, engineering, and safety teams to embed explainability, user control, and alignment into AI systems

• Develop and monitor human-centered evaluation metrics (e.g., helpfulness, latency, trust calibration, long-term engagement)

• Construct causal inference and A/B testing to assess impact of interaction strategies on behavior and outcomes

• Mentor a team of data scientists and collaborate with AI researchers and product leaders on foundational interaction improvements

• Experience in creating reports, projections, models, and presentations to executives

Technical skills

• Proficiency in SQL, Python, and data analysis/data mining tools.

• Experience with machine learning frameworks like Pytorch, JAX, LangChain, or LangGraph

• Experience with high performance, large-scale ML systems

• Experience with language modeling with transformers

• Experience designing human-centered evaluation protocols, metrics, and pipelines

• Experience with +5 years of experience in applied ML, with at least 3+ in conversational AI, human-in-the-loop systems, or agent UX optimization

• Experience with large-scale ETL

Use your skills to make an impact

Required Qualifications

• Master's Degree and 4+ years of experience in research/ML engineering or an applied research scientist position preferably with a focus on developing production-ready AI solutions

• 2+ years of experience leading development of AI/ML systems

• Proven track record building production-grade AI models with strong UX and behavioral outcomes

• Expertise in supervised learning, reinforcement learning from human feedback (RLHF), or preference modeling

• Strong communication skills with ability to bridge data science, product, and engineering

Preferred Qualifications

• Ph.D. in in Machine Learning, Human-Computer Interaction, Cognitive Science, NLP, or related field

• LLM-based agent or copilot systems (e.g., OpenAI GPT agents, Claude, Gemini, Mistral, open-agent frameworks)

• Experience working with voice assistants, AR/VR interfaces, or embodied agents

• Familiarity with ethical considerations and safety alignment in interactive systems

• Contributions to human-AI interaction research or open-source tools

Additional Information

Location/Work Style: Remote US

Why Humana?

At Humana, we know your well-being is important to you, and it’s important to us too. That’s why we’re committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. Just to name a few:

• Work-Life Balance

• Generous PTO package

• Health benefits effective day 1

• Annual Incentive Plan

• 401K - Excellent company match

• Well-being program

• Paid Volunteer Time Off

If you share our passion for helping people, we likely have the right place for you at Humana.

Work at Home Guidance

To ensure Home or Hybrid Home/Office associates’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria:

• At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested

• Satellite, cellular and microwave connection can be used only if approved by leadership

• Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.

• Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job.

• Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

SSN Alert Statement

Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from with instructions on how to add the information into your official application on Humana’s secure website.

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$142,300 - $195,700 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

Application Deadline:

About us

Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

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• 7+ years building and scaling production ML systems with measurable business impact
• Experience deploying ML systems serving 100M+ predictions daily
• Strong background in ranking algorithms (collaborative filtering, learning-to-rank, deep learning)
• Proficiency with Python and ML frameworks (TensorFlow or PyTorch)
• Skilled with SQL and modern data warehouses (Snowflake, BigQuery, Redshift) plus data lakes
• Familiarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworks
• Track record of improving business KPIs via ML-powered personalization
• Experience with A/B testing platforms and experiment logging best practices

• Build and deploy ML models serving 100M+ predictions per day to personalize user experiences at scale
• Enhance data processing pipelines (Spark, Beam, Dask) with efficiency and reliability improvements
• Design ranking algorithms that balance relevance, diversity, and revenue
• Deliver real-time personalization with latency <50ms across key product surfaces
• Run statistically rigorous A/B tests to measure true business impact
• Optimize for latency, throughput, and cost efficiency in production
• Partner with product, engineering, and analytics to launch high-impact personalization features
• Implement monitoring systems and maintain clear ownership for model reliability

• Technical Mastery: You know ML architecture, deployment, and tradeoffs inside out
• Experimentation Infrastructure: You set up systems for rapid testing and retraining (MLflow, W&B)
• Impact-Driven: You design models that move revenue, retention, or engagement
• Collaborative: You thrive working with engineers, PMs, and analysts to scope features
• Analytical Thinking: You break down data trends and design rigorous test methodologies
• Ownership Mentality: You own your models post-deployment and continuously improve them
• Execution-Oriented: You deliver production-grade systems quickly without sacrificing rigor
• Curious & Innovative: You stay on top of ML advances and apply them to personalization

We Are

The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work.

With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are

As a Full Stack LLM Developer, you will play a pivotal role in developing large language model (LLM)-based applications. You will have an opportunity to build, train, and fine tune LLMs to improve performance, accuracy, and alignment of the general-purpose models. In addition, you will utilize your strong skills to develop and integrate LLMs and/or LLM applications into products and services. Design, develop, and optimize Artificial Intelligence (AI) prompts.

Position Responsibilities:

• Design, develop, and optimize Artificial Intelligence (AI) prompts.

• Take ownership of technical designs, code development, and component test execution to ensure they align with the functional specification.

• Develop a comprehensive application and component strategy for one or more programs, encompassing both user experience and backend code.

• Architect a robust development strategy for applications and components.

• Apply expertise in relevant architecture frameworks to define and evaluate application architectures effectively.

• Conduct thorough code reviews and offer valuable suggestions for fixes and enhancements.

• Provide support for issue analysis and resolution during test phases, as well as production issues.

Travel may be required for this role.  The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here’s what you need

• Minimum of 3 years of experience working on LLM for business applications w/ strong understanding with fine tuning & prompt engineering.

• Minimum of 5 years of demonstrated expertise in successfully designing and building custom applications, Continuous Integration, Continuous Delivery, Pair Programming, and Test-Driven Development with the ability to author robust Unit, Integration, and Functional Tests, ensuring software quality at all stages of the development process.

• Minimum of 5 years of experience in Full Stack development with one or more programming languages and frameworks, such as Python, Javascript, Java, Spring or GoLang, showcasing a strong command over the technical foundations and mastery of one or more frontend frameworks, including HTML5, Angular, Node.JS or React, exhibiting a deep understanding of modern web development.

• Minimum of 5 years of experience working with application services from at least one public cloud (AWS, GCP, Azure, etc)

• Minimum of 3 years of experience in Technical leadership and team management, preferably in AI-driven project environments.  

• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Bonus Points if you have

• Experience in developing applications for both mobile and web platforms, showcasing versatility and adaptability in diverse environments.

• Experience/knowledge of Retrieval Augmentation Generation (RAG) Architecture.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New Jersey, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here. (

Role Location Annual Salary Range

California $4,400 to 293,800

Colorado 94,400 to 253,800

District of Columbia 100,500 to 270,300

Illinois 87,400 to 253,800

Minnesota 94,400 to 253,800

Maryland 94,400 to 253,800

New York/New Jersey 87,400 to 293,800

Washington 100,500 to 270,300

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (

Equal Employment Opportunity Statement

Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Accenture is committed to providing veteran employment opportunities to our service men and women.

For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement ( .

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at , send us an email ( or speak with your recruiter.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.