17,422 AI Engineering jobs in the United States

Our Mission:

6sense is on a mission to revolutionize how B2B organizations create revenue by predicting customers most likely to buy and recommending the best course of action to engage anonymous buying teams. 6sense Revenue AI is the only sales and marketing platform to unlock the ability to create, manage and convert high-quality pipeline to revenue.

Our People:

People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Accountability, Growth Mindset, Integrity, Fun and One Team. Every 6sensor plays a part in dening the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers.

We want 6sense to be the best chapter of your career.

The Role: VP, Data Science & AI Engineering

At 6sense, we are redefining how B2B companies predict, prioritize, and engage with buyers. As VP, Data Science & AI Engineering, you will drive and execute the vision of how AI powers our product by embedding AI at the core of our product experience. From advanced predictive models to generative and agentic intelligence, your leadership will shape the next generation of AI-native products.

Were looking for a visionary and execution-driven leader with deep expertise in both data science and ML engineering. Youll own the end-to-end AI/ML strategy from model development to deployment at scale while building strong cross-functional relationships to drive adoption, value, and innovation.

You will partner closely with product, engineering, GTM, and executive leadership to define and execute the roadmap for AI-native capabilities, predictive modeling, and real-time intelligence all underpinned by scalable, reliable ML infrastructure. As a hands-on executive, you will lead teams spanning data science, ML engineering, and ML/Ops to drive business impact and develop concrete outcomes through the responsible and innovative use of data and AI.

Key Responsibilities

Strategic Leadership:

• Own and define the long-term AI and data science vision and strategy that advances 6senses mission of transforming B2B sales and marketing through predictive and generative intelligence.
• Articulate the role of AI in the business at the executive level, and translate complex science into clear product and business strategy.
• Act as a thought leader and evangelist for AI across the business from applied use cases to ethical and responsible AI practices.
• Manage a diverse portfolio of AI initiatives, balancing short-term impact with long-term investments across generative AI, predictive modeling, and platform capabilities.

Product Development and Innovation:

• Lead the conceptualization, development, and deployment of scalable AI products, with a strong emphasis on generative AI (GNI), NLP, agentic workflow, and customer-facing intelligence from problem definition to deployment.
• Ensure research efforts translate into features, models and systems with measurable ROI.
• Define and track success metrics for data science and machine learning products and platforms.
• Lead the development of scalable and secure ML/Ops pipelines that support continuous training, deployment, and monitoring of models in production.

Team & Culture:

• Partner deeply with Product, Engineering, and GTM teams to embed AI into the core product experience, translate customer needs into data driven solutions, and ensure measurable customer and business value.
• Recruit, mentor, and retain top-tier talent across data science and ML engineering, creating a culture of ownership, rigor, experimentation and delivery.
• Partner closely with product, engineering, and GTM to embed AI deeply into the customer journey.

Thought Leadership & Industry Engagement

• Act as a visible champion for AI at 6sense-internally and externally-through thought leadership, speaking engagements, and strategic collaborations.
• Represent the company in industry forums, conferences, and publicatins to showcase 6senses AI capabilities and attract top talent.
• Foster applied research efforts that result in whitepapers, patents, and proprietary methodologies that differentiate 6senses AI capabilities in the market.
• Build external partnerships to stay at the cutting edge of AI advancements and drive strategic advantage.

Required Qualifications

• 15+ years of experience in data science, machine learning, or applied AI roles, with at least 5+ years in senior leadership, including experience managing senior leaders and multi-disciplinary teams.
• Proven success leading AI product developmentincluding generative AI (LLMs, retrieval-augmented generation, prompt engineering) and natural language processing (NER, classification, summarization, embeddings).
• Strong experience deploying ML systems in production, including recommender systems, LLMs, and agentic systems.
• Deep expertise in applied machine learning and statistical modeling in production environments, including recommender systems, time series prediction, and personalization.
• Track record of building AI-native or AI-led products that drive customer and business value.
• Prior experience working in B2B SaaS and/or Martech is strongly preferred.
• Strong business acumen with the ability to prioritize and balance long-term vision with near-term impact- while aligning senior stakeholders to drive action and sustainable results.
• Technical knowledge in modern ML toolkits, MLOps platforms, and cloud-based data architectures (e.g., AWS, Databricks, Kubernetes, etc.).
• Exceptional executive communication skills and the ability to influence across product, engineering, and C-level stakeholders.
• Strong leadership skills with a track record of attracting top technical talent and developing high-performing teams.

Base Salary Range: $ 233,859 350,789 . The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6senses total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6senses board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote

Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. Well make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our oces.

We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds.

Equal Opportunity Employer:

6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to .

We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. A ll email communications from 6sense will originate from the @6sense.com domain . We will not initially contact you via text message and will never request payments . If you are uncertain whether you have been contacted by an official 6sense employee, reach out to jobs@ 6sense.com

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For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in 6senses Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitm

• Incentive Bonus Plans
• Medical, Dental, Vision benefits
• 401K
• 10 Paid Holidays
• Generous Paid Time Off Packages
• Employee Stock Purchase Plan
• Paid Parental & Family Leave
• and more!

• Analyse and identify the linkages and interactions between the component parts of an entire system.
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
• Develop skills outside your comfort zone, and encourage others to do the same.
• Effectively mentor others.
• Use the review of work as an opportunity to deepen the expertise of team members.
• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
• Champion the integration of AI and data-driven insights into regulatory risk and cybersecurity engagements.
• Serve as a liaison between technical data/AI teams and business stakeholders to ensure strategic alignment.
• Lead the design and execution of innovative compliance and risk management solutions that leverage automation, analytics, or AI technologies.
• Help shape the firm's go-to-market offerings for AI-enabled regulatory and cyber solutions.

Overview of Citi:

Citi is a world-leading global bank. We have approximately 200 million customer accounts and a presence in more than 100 countries and jurisdictions worldwide. We provide consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. We enable clients to achieve their strategic financial objectives by providing them with cutting-edge ideas, best-in-class products and solutions, and unparalleled access to capital and liquidity.

Overview of the organization:

The CTO organization is responsible for defining and executing the core architecture and technology strategy for the firm by working across the business units (Markets, Treasury and Trade Services, Banking, and Shared Services) and functions. Ensuring strategic alignment and efficiency of solutions across a diverse portfolio of engineering and transformation efforts. The COO Enterprise Solution Engineering capability sits within CTO and is responsible for the development of best-in-class technology platforms for Operations, including development of an integrated portfolio of Operations tools, end-to-end solution design for large scale transformation initiatives, design governance, and adoption of Generative AI solutions for driving operational efficiencies.

Job Purpose :

We are seeking an innovative GenAI Engineering Lead to drive the adoption of Large Language Models and agentic flows to drive process efficiencies, automation, simplification, and risk reduction across enterprise business solutions. In this role you will be responsible for driving and contributing to the technical direction of our products and services, instilling engineering best practices into the team, and promoting cultural change across the organization. You will also work with various technology teams to push the adoption of Generative AI technologies and agentic flows, across enterprise-wide applications and processes. Developing partnerships with third party providers to validate and adopt best-of-breed solutions.

You will be joining us right at the beginning of our journey. We are seeking experienced software engineers who thrive in a results-driven environment, passionate about GenAI and who (just like us!) love programming.

What youll do:

• Contribute to both, engineering and research
• Take a product-focused approach and build solutions that are robust, scalable, and easy to use
• Work in a fast-paced environment tackling cutting-edge problems by constantly testing and learning
• Pair programming for our products, be lean in your approach and remove bureaucracy where you see it
• Deliver fast, iterating and pivot as you go, rather than defining the perfect solution upfront
• Develop foundational components and mature technology capabilities in AI and LLMs
• Drive adoption across the enterprise

What well need from you:

• Deep hands-on experience in engineering and executing enterprise solutions that scale
• Fluency in at least two programming language, with preference for Python, Javascript/Typescript, Golang
• Pytorch, TensorFlow experience
• Understanding of language models, transformers, agentic frameworks
• Rich understanding of vector stores and search algorithms
• Experience in Java 8, SpringBoot, Python, Oracle/MongoDB & Docker/Kubernetes/Open Shift, messaging platforms
• Direct engineering experience of high performance, large-scale AI/ML systems
• Have experience supporting fast-paced startup engineering teams
• Experience in model risk management, guardrails development, and end-user adoption pathways of AI / GenAI solutions

Work Experience:

At least 10+ years of experience in financial services / technology firms / start-ups Strong hands-on experience with Agile delivery, product management, value stream methodologies Strong communication skills and proven track record in producing quality project artefacts, including senior management reports within a technology or risk & controls domain Ability to structure and run product working groups across diverse stakeholders to drive a consensus on requirements and develop and implement process, data, system designs Motivated self-starter with ability to learn new skills quickly and navigate the organization

Education:

• Bachelors degree in IT, Computer Science, or engineering. Masters degree preferred

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In addition to salary, Citis offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citis EEO Policy Statement and the Know Your Rights poster.

Join to apply for the Cybersecurity AI Engineering - Manager role at PwC

1 week ago Be among the first 25 applicants

Join to apply for the Cybersecurity AI Engineering - Manager role at PwC

Specialty/Competency: Cybersecurity & Privacy

Industry/Sector: Not Applicable

Time Type: Full time

Travel Requirements: Up to 40%

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In regulatory risk compliance at PwC, you will focus on confirming adherence to regulatory requirements and mitigating risks for clients. You will provide guidance on compliance strategies and help clients navigate complex regulatory landscapes.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team members unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Analyse and identify the linkages and interactions between the component parts of an entire system.
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
• Develop skills outside your comfort zone, and encourage others to do the same.
• Effectively mentor others.
• Use the review of work as an opportunity to deepen the expertise of team members.
• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
• Champion the integration of AI and data-driven insights into regulatory risk and cybersecurity engagements.
• Serve as a liaison between technical data/AI teams and business stakeholders to ensure strategic alignment.
• Lead the design and execution of innovative compliance and risk management solutions that leverage automation, analytics, or AI technologies.
• Help shape the firm's go-to-market offerings for AI-enabled regulatory and cyber solutions.
  
  

• Shape the firm's market offerings for AI-driven regulatory and cybersecurity solutions
• Deliver exceptional outputs that meet client expectations and compliance standards
• Foster a culture of collaboration and continuous improvement within the team
• Uphold the firm's values and ethical standards in all engagements
  
  

• Bachelor's Degree
• 6 years of experience
  
  

• Preferred field(s) of study: Artificial Intelligence and Robotics, Data Processing/Analytics/Science
• Certification(s) Preferred: Information Systems Security Professional (CISSP), Information Security Manager (CISM), or ISACA in Risk and Information Systems Control (CRISC)
• Demonstrating significant experience in leading client engagements in regulatory compliance
• Leading large projects in cybersecurity or cyber risk management
• Mentoring and guiding junior staff to enhance skills
• Inspiring and motivating teams to achieve excellence
• Championing the integration of AI into regulatory risk engagements
• Designing and implementing cyber risk governance frameworks
• Monitoring and reporting of cyber risks, threats, and vulnerabilities
• Possessing knowledge integrating AI/ML capabilities into existing GRC (governance, risk, and compliance) frameworks
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Accounting, Financial Services, and Business Consulting and Services

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This posting has been extended beyond the initial anticipated closing date.

Do you excel at working cross-functionally to achieve common goals? Would you describe yourself as collaborative, analytical, strategic, and data-driven? If so, you could find a home on the Operational Analytics & Insight (OAI) team at Spectrum.

At Spectrum, we keep more than 32 million customers connected across our 41-state footprint. Our Operational Analytics & Insight team provides the measurement, insights and recommendations that inform our digital strategies. By helping answer critical questions about the customer
experience, sales, and operations, this team plays a vital role in delivering the exceptional services and experiences Spectrum is known for.

BE PART OF THE CONNECTION

As a Data Scientist, AI Engineering on the Operational Analytics & Insights team, you'll work in a fast-paced, collaborative environment to develop data-driven solutions to Spectrum's business problems. You'll have the unique opportunity to leverage and work with cutting-edge AI technologies, including real-time transcriptions and other advanced AI applications. You'll be empowered to think of new approaches, use analytical, statistical, and programming skills to analyze and interpret data sets, and apply your AI expertise at scale. This role offers an excellent opportunity to lead projects, drive innovative solutions, and further advance your skills and career with Spectrum, all while making a significant impact on our operations and customer experiences.

WHAT OUR DATA SCIENTISTS ENJOY MOST

• Leveraging knowledge in analytical and statistical algorithms to assist stakeholders in improving their business
• Partnering on the design and implementation of statistical data quality procedures for existing and new data sources
• Communicating complex data science solutions, concepts, and analyses to team members and business leaders
• Presenting data insights & recommendations to key stakeholders
• Establishing links across existing data sources and finding new, interesting data correlations
• Ensuring testing and validation are components of all analytics solutions

You'll work in a dynamic office environment. You'll excel in this role if you are a self-starter who can work independently as well as in a team. If you're comfortable presenting data and findings in front of team members & stakeholders and have excellent problem-solving skills, this could be the role for you.

WHAT YOU'LL BRING TO SPECTRUM

Required Qualifications

• Experience :
  
  • Data analytics experience: 3 years; Programming experience: 2 years
• Education :
  
  • Bachelor's degree in computer science, statistics, or operations research, or equivalent combination of education and experience
• Skills :
  
  • Strong proficiency in predictive analytics, prescriptive analytics, AI, machine learning, and statistical modeling
  • Proficiency in programming languages such as Python and SQL for data analysis and model development.
  • Hands-on experience with Large Language Models (LLMs) (finetuning, retraining, and prompt engineering)
  • Working with text data including Natural Language Processing (NLP) techniques such as tokenization, lemmatization, sentiment analysis, text classification, topic modeling, and entity recognition
  • Hands-on experience with advanced AI techniques such as Retrieval-Augmented Generation (RAG), vector databases, and LLM integration for enhanced information retrieval and generation, GPT, and BERT

Preferred Qualifications:

• Experience :
  
  • ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and NLP libraries like spaCy or Hugging Face Transformers
• Skills :
  
  • Strong understanding of Machine Learning concepts including supervised and unsupervised learning, model training, evaluation, and deployment
• Abilities :
  
  • Develop and demonstrated knowledge of deploying ML models in cloud environments (Azure, AWS, or similar)
  • Explain complex AI concepts to non-technical audience

This position is not eligible for immigration sponsorship.

SPECTRUM CONNECTS YOU TO MORE

• Dynamic Growth : The growth of our industry and evolving technology powers our employees' careers as they move up or around the company
• Learning Culture : We invest in your learning, and provide paid training and coaching to help you succeed
• Supportive Teams : Be part of a strong community that gives you opportunities to network and grow, and wants to see you succeed

Apply now, connect a friend to this opportunity or sign up for job alerts!

#LI-SS5

You could be an engineer anywhere, why us?

Join a well-funded, high-growth startup on the path to IPO ($50M raised, 700% revenue growth in 2 years, targeting a $1T market).

Work directly with our Head of Platform Engineering, Aren Patel (ex-Google).

Help transform a massive industry and scale us toward a 10 B+ business.

About the opportunity:

Given recent economic shifts, logistics providers and shippers want to capitalize on generative AI to drive business efficiency. As a result, many of them are turning to CoPallet, the first end-to-end service of AI agents and logistics experts, to automate their back-office operations. If we can capture this momentum effectively, we're on track to build the next 10 billion tech company in logistics.

We're hiring Platform Engineers for our founding team. These engineers will create the infrastructure and backbone for our AI agents, build efficient data pipelines, and develop scalable systems that can grow our platform from a few hundred to millions of users. They'll work directly with Aren (ex-Google), Nilkanth (ex-founder, ex-DoorDash), and Vidhur (lead engineer on Document AI at Scale) to develop on top of OpenAI and LangChain frameworks.

About the role:

You'll lead the architecture and development of our Retrieval-Augmented Generation (RAG) platform, powering AI agents that learn and operate in challenging real-world logistics environments. This isn't about being a RAG expert day one, but owning backend architecture and navigating tradeoffs in LLM workflows.

You'll build tooling for transparency and debugging of AI tool calls, develop discovery mechanisms for agents to find and use tools effectively, and create memory systems that retain context across weeks. You'll also manage a small technical team (1-3 engineers) and influence Pallet's technical roadmap.

What you'll do:

• Design and maintain core infrastructure for AI agents on our RAG platform.
• Build scalable, efficient data pipelines supporting millions of events.
• Create debugging and inspection tooling for LLM-based workflows.
• Develop memory systems that surface relevant context dynamically.
• Lead 1-3 engineers technically, mentoring and driving execution.
• Collaborate across product and engineering teams on architecture and design decisions.
• Work with OpenAI, Anthropic, LangChain, and browser automation tech.

Tech stack:

• Backend: Node.js + TypeScript, Encore framework
• Database: PostgreSQL
• Infrastructure: Google Cloud Platform
• AI/ML: OpenAI, Anthropic, Google Foundation Models, LangChain
• Frontend: React + TypeScript
• Browser automation: Browserbase

Preferred experience:

• Backend-focused engineer with 0?1 platform and scaling experience.
• Skilled in building APIs, data pipelines, and scalable infrastructure.
• Comfortable with complex enterprise data and growing user bases.
• Experience in fast-paced startup environments and team leadership.
• Bonus: Node.js, TypeScript, GraphQL.

Who you are:

• You own the outcome: taking full responsibility to deliver impact end to end, no excuses.
• You move fast but with quality: shipping quickly while maintaining sustainable craftsmanship.
• You experiment relentlessly: embrace a growth mindset, learn from failures, and iterate faster.
• You push beyond limits: no coasting; you raise the bar for yourself and the team.
• You thrive in collaboration: value face-to-face teamwork and contribute actively in our in-office culture.

Interview process:

1. Intro chat with Head of Talent (30 mins).
2. Technical screen + meet and greet with hiring manager (60 mins).
3. Executive chat - Sushanth, CEO and Founder (30-45 mins).
4. Final interview, visit our Fidi office, and deep dive into technical and behavioral interviews (~3.5 hours).

Location:

Since we're a small team building 0-1 products, we prefer for candidates to be comfortable working in an in office environment in San Francisco. We typically come into the office 4 days a week. Relocation assistance can be provided for interested candidates.

Compensation:

The estimated salary range for this role is 195,000 265,000, depending on experience and skill set. In addition to base salary, we offer competitive equity, benefits, and opportunities for growth. Final compensation will be determined based on a combination of factors, including experience, qualifications, and location.

Top-tier benefits:

• Health, vision, and dental benefits
• Flexible PTO
• Life Insurance and Accidental Insurance
• Short-Term Disability Coverage
• Generous salary and equity for all staff
• 401k option; helping you save for the future
• Yearly learning and development stipend
• Commuter benefits for Bay Area employees
• Uber ride stipend if you ever have to work late in the office
• Remote office home stipend to get you comfy in your space
• Daily catered lunches provided by Sharebite (every meal you order, one meal gets donated)
• Onboarding trip to San Francisco HQ if you work remotely
• Monthly happy hours
• Annual Company Offsites; our last one was in Napa Wine Country

Pallet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

• Technical Leadership : Lead the strategic direction for AI product development, including solution architecture, technical roadmaps, and implementation standards across multiple AI initiatives and platforms.
• Team Management : Direct and mentor multiple Agile teams comprising data scientists, AI engineers, and ML specialists, fostering a culture of innovation, learning, and excellence in AI development.
• Strategy : Translate business requirements into technical AI roadmaps, working with AI Product Manger and business stakeholders to align AI initiatives with organizational goals while establishing measurement frameworks to track impact.

• Cultural Champion : Drive the adoption of AI-focused agile development practices, and partner with Responsible AI Governance team to promote transparency, explainability and ethical use of AI at Ulta.

• Business & Stakeholder Relationship Management : Partner with cross-functional leaders to identify opportunities for AI implementation, build consensus around AI priorities, and communicate complex technical concepts to non-technical stakeholders

• Exercise independent judgment in developing AI solution approaches, model selection, and deployment strategies
• Lead the design and implementation of AI-powered solutions for enhancing the customer shopping experience, drive operational efficiency across the enterprise, optimizes imventory, pricing, supply chain, and other operations
• Oversee the development of data pipelines, feature engineering, and model training workflows
• Guide teams in implementing MLOps practices for model deployment, monitoring, and maintenance
• Ensure AI solutions adhere to privacy, security, and ethical standards
• Drive the development of reusable AI components and frameworks to accelerate future initiatives
• Collaborate with enterprise architecture to establish AI platform standards and integration patterns
• Lead technical reviews and provide guidance on AI model performance, scalability, and business impact
• Establish metrics and KPIs to measure the effectiveness of AI initiatives
• Develop POCs (proof of concepts) to validate AI applications before full-scale implementation
• Partner with Product Owners to translate business requirements into AI-specific technical requirements
• Stay current with emerging AI technologies and methodologies, evaluating their potential application
• Provide technical thought leadership across the organization on AI capabilities and possibilities

• Master's degree in Computer Science, Data Science, AI/ML, or equivalent professional experience
• 10+ years of experience in AI/ML product development or related technical fields
• 4+ years of experience managing teams of data scientists and AI engineers
• Demonstrated success leading AI initiatives in personalization, recommendation systems, computer vision, or operational efficiency
• In-depth knowledge of machine learning algorithms, frameworks, and best practices
• Hands-on experience with modern ML frameworks (PyTorch, TensorFlow, etc.) and cloud-based AI services
• Proven experience with agile methodologies in the context of AI/ML
• Strong experience managing the full AI product lifecycle
• Track record of implementing successful AI solutions that delivered measurable value
• Experience with MLOps practices and tools for model deployment and monitoring
• Demonstrated ability to translate complex business problems into AI solution approaches
• Excellent communication skills with ability to explain AI concepts to both technical and non-technical audiences
• Experience in retail or e-commerce preferred
• Familiarity with AI governance, ethics, and responsible AI implementation

• Ability to work effectively in an onshore/offshore development model

• Travel required per the company policy