8,500 Neural Networks jobs in the United States

Job Description

About Ease
Ease.io digitally transforms plant floor audits around the world with EASE. The enterprise-grade mobile platform combines simplicity and efficiency with powerful performance insights, driving quality and safety on the plant floor.

Industry leaders, including Aston Martin, Dana, 3M, Tenneco, and Samsung, trust EASE to facilitate and analyze millions of plant floor audits every year. With deployments in over 40 countries, EASE supports more than 25 languages, solidifying its position as a category leader for quality management, as recognized by G2 and Gartner.

Headquartered in San Clemente, California, Ease.io is a dynamic company that recently secured a growth investment from Luminate Capital Partners, further fueling its robust growth trajectory.

About the Product – Process Vision
Process Vision is an AI-powered process monitoring solution that uses wireless or IP-based cameras to observe plant floor activities. The system anonymizes people in the video feed using image pre-processing, then streams the footage to a cloud-based large language model (LLM). Users define use cases via free form prompts and may also provide reference documents, videos, or images to help the AI identify process non-conformances.

Position Summary
EASE is seeking a highly motivated AI Development Engineer to join our growing team. In this role, you’ll help implement work on our AI-powered Process Vision product; a cutting-edge solution that uses live camera feeds and LLMs to detect non-conformances on the plant floor. You'll work directly with product management, R&D, and customers to help develop our cutting-edge Process Vision offering.

Position Location: Hybrid

Annual Salary Range: $130,000-$150,000 

What You'll Do:

• Design, develop, and launch new products from the ground up, as well as maintain and enhance early-stage solutions in a fast-paced environment
• Collaborate closely with the Process Vision development team to improve product performance, scalability, and reliability
• Work effectively with minimal requirements or direct supervision, taking ownership of problem-solving and decision-making in ambiguous situations
• Partner with product managers and leadership to help define product vision, roadmap, and key technical decisions
• Integrate AI and cloud-based capabilities, including REST APIs and LLM-driven features, into the product to deliver innovative solutions
• Apply modern security best practices (e.g., JWT, OWASP) in all stages of development and deployment
• Work cross-functionally with design, QA, and operations teams to deliver high-quality, customer-centric software solutions
• Continuously identify opportunities for optimization, automation, and improved developer productivity

• 4+ years of professional software development experience, with a proven track record of delivering production-quality applications
• Demonstrated expertise in building and scaling large-scale, multi-tenant SaaS platforms
• Proficiency in modern web development technologies, including TypeScript, Next.js, and/or React
• Experience designing, developing, and consuming RESTful APIs for scalable, maintainable applications
• Hands-on experience with AI-powered development tools such as Cursor, Codex, and v0
• Cloud platform experience with GCP, Vercel, or AWS, including deployment and performance optimization
• Excellent communication skills, both verbal and written, with the ability to collaborate effectively in cross-functional teams
• Solid understanding of relational databases and ORM frameworks, such as MySQL or Entity Framework
• Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent practical experience

• Passion for building 0→1 products and tackling complex, high-impact problems
• Experience integrating and working with AI technologies, including OpenAI API, Vertex AI, and prompt tuning for LLMs or AI-based systems
• Understanding of various large language models (LLMs), their strengths, trade-offs, and ideal use cases
• Exposure to computer vision frameworks and GPU-accelerated computing, such as YOLO, CUDA, or OpenCV
• Proficiency in Python for backend, scripting, or AI/ML-related development
• Deep knowledge of modern security practices, including JWT, OWASP standards, and secure application design
• Familiarity with serverless computing technologies such as AWS Lambda or GCP Cloud Run
• Familiarity with manufacturing processes, including SOPs, quality control, and non-conformance reporting

• Health Coverage: Comprehensive medical, dental, and vision plans to ensure access to high-quality care.
• Life & AD&D Insurance: Financial protection for you and your loved ones, giving you added peace of mind.
• Unlimited Paid Time Off: We encourage time to recharge and rest—take the time you need, when you need it.
• 401(k) with Employer Match: Plan for your future with confidence through our matched retirement savings program.

Powered by JazzHR

YxTOkCQAuC

Lyra is transforming mental health care through technology with a human touch to help people feel emotionally healthy at work and at home. We work with industry leaders, such as Morgan Stanley, Uber, Amgen, and other Fortune 500 companies, to improve access to effective, high-quality mental health care for their employees and their families. With our innovative digital care platform and global provider network, nearly 20 million people can receive the best care and feel better, faster. Founded by David Ebersman, former CFO of Facebook and Genentech, Lyra has raised more than $900 million.

We are looking for a licensed therapist who is passionate about leveraging state of the art technology, including artificial intelligence, to significantly expand access to evidence-based mental health interventions. Requirements for this role include extensive clinical knowledge, experience and skills in safety risk assessment and management as well as delivery of various evidence-based mental health interventions for anxiety and depression. Strong writing skills are also required. This role will apply clinical knowledge and expertise to support the development of Lyra's AI tools.

You will be part of a highly skilled and collaborative team with an established track record of cross functional collaboration for the development of clinical technology. By directly reaching hundreds of thousands of clients, your work on developing clinical AI tools will help create meaningful positive change on a large scale.

• Selecting and developing comprehensive sets of clinical scenarios that are representative of client situations (safety, distress) to support AI tools development
• Writing sets of gold standard responses to specific clinical situations to maximize clinical effectiveness and helpfulness of AI tools
• Evaluating AI responses in a systematic and reliable way to ascertain level of clinical quality
• Synthesizing areas of improvement for AI tools to meet clinical safety and effectiveness criteria
• Cross functional collaboration with other teams to support the development of AI tools

• MS, MA, MSW, PsyD,PhD in Clinical / Counseling psychology
• Licensed therapist with 4+ years of direct clinical work post-graduation
• Strong writing skills to convey clinical concepts and maximize clinical impact
• Passionate about disseminating evidence based therapy by leverage technology on a large scale
• Strong training in and experience in safety risk assessment and management (SI, self-harm)
• Excellent training in and deep understanding of evidence-based treatments (e.g., CBT, DBT, IPT, EFT, ACT)
• Strong case conceptualization, treatment planning skills
• Training and experience teaching skills groups directly to clients (DBT, CBT, MBSR)
• Strong training in and experience providing culturally responsive care is preferred
• Independent, flexible, can navigate uncertainty well, thrives in a fast-paced, high change, dynamic environment
• Excellent interpersonal and collaboration skills, compassionate, and open-minded

This position can be fully remote or hybrid (i.e., 2 days onsite at our Burlingame office, 3 days from home). Lyra Health, Inc. works in partnership with Lyra Clinical Associates P.C. and other contracted affiliates to deliver clinical services. We are an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, age, national origin or disability.

Join Our Team at AWS

At AWS, developers are the backbone of our innovation. We are on a mission to create AI-powered development tools, such as Amazon Q Developer, aimed at enhancing developer productivity by automating code writing, debugging, and minimizing tedious manual tasks. If you are an experienced developer eager to help fellow builders amplify their productivity and influence the future of these essential tools, we want you to be part of our dynamic Developer Productivity team.

Your Role:

As a Developer Advocate, you will play a key role in working closely with the teams behind these cutting-edge tools while engaging with thousands of developers globally. Here’s what you will be doing:

• Creating in-depth technical content that highlights Amazon Q Developer and other AI tools, including video tutorials and implementation guides.
• Developing comprehensive long-form content that addresses realistic scenarios such as modernizing legacy applications and constructing full-stack architectures.
• Demonstrating technical workflows across multiple programming languages to tackle the unique challenges faced by frontend developers, backend engineers, and full-stack teams.
• Detailing practical applications and identifying gaps in tooling through community engagement to influence product development effectively.
• Collaborating with engineering teams to provide real developer feedback and contribute to open-source projects that enhance productivity.

A Typical Day:

Your day will involve:

• Reviewing community feedback on your latest tutorial for Amazon Q Developer.
• Building a live coding demo focused on Java modernization techniques.
• Engaging in technical discussions in developer forums to explore the integration of AI tools.
• Collaborating with product teams on upcoming feature releases based on community insights.
• Preparing for a conference talk or writing a technical blog post that breaks down complex integration patterns into actionable steps.

About Us:

Our team comprises passionate developers committed to creating content that resolves practical development challenges. We aim to demonstrate how AI-powered tools seamlessly blend into existing workflows, resulting in measurable productivity gains.

We actively seek to understand developers' real-life struggles and collaborate with product teams to drive improvements in developer experience by incorporating community feedback into product development.

Why AWS?

Our culture values curiosity, inclusivity, and work-life balance. We encourage candidates from diverse backgrounds to apply, knowing that unique experiences enrich our team. Our community programs and mentorship initiatives are designed to support your career growth while promoting inclusiveness and creativity.

Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
• 4+ years of software development experience.
• Hands-on experience with AI coding assistants.
• Proficient in languages such as Python, JavaScript/TypeScript, or Java.
• Experience creating technical content and engaging with developer communities.

Preferred Qualifications:

• Experience in building developer tools or extensions.
• Proven track record of impactful technical video content.
• Speaking experience at key developer conferences.
• Familiarity with cloud-native development patterns.
• Experience mentoring developers with strong communication skills.

We welcome applications from all qualified candidates, regardless of background. If you are ready to make a difference and help drive the future of developer experience, we want to hear from you!

Job Description

Location: Manhattan Beach, CA | Part-Time (15–20 hours/week in-office) | Paid Internship , $30/hour | Rolling Start Date

Position Summary: 

Do you have a passion for artificial intelligence and its ability to transform the way businesses operate? Are you excited about applying cutting-edge AI tools to identify investment opportunities and streamline business development processes? K1 is looking for an AI Intern to support our Business Development team by automating core workflows and enhancing data-driven sourcing strategies.

As an AI Intern, you’ll work alongside our Business Development and Data teams to build and deploy tools that improve how we identify, research, and engage with high-potential software companies. This is an opportunity to apply your technical and analytical skills in a high-impact, real-world private equity setting.
 

Key Responsibilities:

• Build and refine AI/automation tools to support the sourcing of software investment opportunities.
• Assist in developing and deploying scripts or applications for data extraction, enrichment, and analysis.
• Leverage APIs, LLMs (e.g., GPT), and other machine learning models to automate repetitive research and outreach tasks.
• Work with our proprietary systems to maintain data quality and support pipeline visibility.
• Collaborate with Business Development team members to identify areas where AI can drive efficiency or insight.
• Stay current on AI and automation trends relevant to B2B software and private equity workflows.

Requirements:

• Current undergraduate student, graduate student, or recent graduate in Computer Science, Data Science, or related technical major.
• Strong interest in artificial intelligence and practical applications of automation.
• Working knowledge of Python or another programming language relevant to automation or data workflows.
• Ability to work independently in a fast-paced, results-oriented environment.
• Excellent communication skills and the ability to translate business problems into technical solutions.
• Entrepreneurial spirit with a positive attitude   
• Experience with LLMs, LangChain, web scraping, or API integrations

Perks:   

• Exposure to high-growth B2B software markets and private equity deal sourcing.
• Opportunity for full-time offer upon graduation.
• Lunch provided in-office every day.

About K1:
K1 is one of the largest investors in small-cap enterprise software companies, with over $20 billion AUM.
Headquartered in Manhattan Beach, California, the firm partners with innovative management teams to build category leaders that deploy AI-powered, mission-critical systems of record for enterprise clients globally.

Through its affiliate, K1 Operations LLC, the firm supports portfolio companies in accelerating growth – both organically and inorganically – by focusing on leadership development, technological innovation, and operational excellence.

Dedicated to transforming industries, K1 has collaborated with over 250 enterprise software companies since inception.

 

Powered by JazzHR

nrJTk93P4f

Description
Developers are integral to AWS's mission. We are building cutting-edge AI-powered tools like Amazon Q Developer to enhance the coding experience by streamlining processes and boosting productivity. We are seeking passionate builders to help other developers leverage these tools effectively, shaping the future of software development.

As a Developer Advocate on our Developer Productivity team, you will engage with teams creating these innovative tools and assist countless developers worldwide in grasping their practical applications. This significant position at AWS allows you to establish yourself as a thought leader in AI-assisted development, influencing the evolution of these tools through content creation, community interaction, and product feedback.

Key Responsibilities

• Create technical content showcasing Amazon Q Developer and related AI development tools through in-depth tutorials, live coding demonstrations, and detailed implementation guides.
• Focus on comprehensive, long-form technical content that addresses modernizing legacy applications and building full-stack architectures.
• Deliver technical demos that involve full application development, integration patterns for existing environments, and practical workflows across various programming languages.
• Develop specialized content for frontend, backend, and full-stack developers tackling their distinct challenges when utilizing AI-assisted development.
• Identify gaps between developer needs and current tooling through hands-on coding and community engagement.
• Collaborate with engineering teams to influence product roadmaps based on developer feedback, contribute to open-source projects, and create productivity-enhancing guides.

A Day in the Life

Your day may involve reviewing community feedback on your latest tutorial, building live coding demos, engaging in technical discussions, and collaborating with product teams on new features. You might also prepare for speaking at developer conferences or writing blog posts that simplify complex integration scenarios.

About the Team
We are a group of developers advocating for tools that enhance developer experiences, focused on creating content that offers real solutions to development challenges. Our mission is to prove how AI-powered tools can seamlessly integrate into workflows and provide measurable improvements in productivity.

We engage authentically with the developer community to understand pain points and partner with product and engineering teams to enhance the developer experience using community insights.

About AWS Diverse Experiences
AWS values diverse experiences and encourages candidates with unconventional career paths to apply. We believe unique backgrounds contribute to innovation.

Why AWS?
Amazon Web Services (AWS) is the leading cloud platform, trusted by businesses from startups to Global 500 companies. We continuously innovate, providing a wide array of products and services to empower businesses.

Inclusive Team Culture
We promote a culture of learning and curiosity, supported by employee-led affinity groups. Our ongoing events inspire us to embrace our differences.

Mentorship & Career Growth
We prioritize knowledge-sharing and mentorship, providing resources for professional development and growth.

Work/Life Balance
We strive for a flexible work culture that supports personal well-being while achieving professional success.

Basic Qualifications
- Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
- 4+ years of software development experience building production applications.
- Hands-on experience with AI coding assistants in development workflows.
- Strong programming skills in Python, JavaScript/TypeScript, Java, or similar languages.
- Proven experience creating technical content and engaging with developer communities.

Preferred Qualifications
- Experience building developer tools, CLI applications, or IDE extensions.
- Track record of impactful technical video content.
- Speaking experience at major developer conferences.
- Familiarity with cloud-native development patterns and modern workflows.
- Contributions to open-source projects focused on developer productivity.
- Experience mentoring developers with strong communication skills.

Amazon is an equal opportunity employer and does not discriminate based on protected status. We value trustworthiness, professionalism, and adherence to company standards. This position will remain posted until filled. Applicants should apply through our career site.

Arizona State University

MLOPS and AI Development Engineering Lead

Off-Campus: Scottsdale

JR109070

End Date: August 1, 2025

Apply before 11:59 PM Arizona time the day before the posted End Date.

Minimum Qualifications:

Bachelor's degree and seven (7) years of experience appropriate to the area of assignment/field; OR, Any equivalent combination of experience and/or training from which comparable knowledge, skills and abilities have been achieved.

Job Description:

Salary: $87,100 - $168,100; per year, Depends on Experience

Essential Duties:

AI and Machine Learning Leadership

• Develop secure and scalable AI platforms that support generative AI applications, embeddings, and dynamic search functionalities.
• Lead a team of AI engineers in developing and implementing LLM models, integrating the latest advancements in AI.
• Architect vector database solutions to enable efficient search and retrieval of AI driven knowledge repositories.
• Explore and implement multi modal AI capabilities to enhance accessibility and interaction across platforms.

Platform & Cloud Infrastructure

• Design and optimize AWS-based AI infrastructure, ensuring scalability, reliability, cost-effectiveness and automated deployments via Terraform
• Develop and maintain APIs that provide secure access to major LLM models with an intuitive front-end powered by ReactJS.
• Implement serverless architectures and containerized deployments to streamline development and deployment cycles.
• Oversee ETL workflows to process, tag, and structure large-scale AI datasets.

Team & Strategy Leadership

• Act as a mentor and coach, fostering a culture of continuous learning and innovation within the team.
• Drive technical roadmaps and sprint execution, ensuring alignment with AI acceleration goals.
• Collaborate with university leadership to identify new AI opportunities and integrate AI-driven solutions across educational and research domains.
• Stay at the forefront of emerging AI trends, from autonomous agents to generative AI applications.
• Leverage AI in routine tasks and contribute ideas for using AI to improve the unit’s efficiency and overall performance.
• Take responsibility for fostering a positive culture, upholding organizational values, and championing engagement in all its forms.
• Collaborate across teams and actively participate in ET/ASU events and programs.

Desired Qualifications:

• Team player who is able to collaborate and effectively communicate with team members and showcase qualities of servant leadership.
• Proven experience and ability to lead engineering teams, foster innovation, and drive AI adoption across organizations.
• 5+ years of experience in AI/ML development with a strong background in deep learning, LLM fine-tuning, and vector databases.
• 5+ years of experience in AWS cloud services, including SageMaker, Lambda, DynamoDB, API Gateway, CloudFront, and S3.
• Expertise in Python, JavaScript, and frameworks such as Node.js, React.js, and Next.js.
• Experience in building and deploying AI powered applications with seamless cloud integrations and experience in writing and maintaining infrastructure via Terraform.
• Strong understanding of embeddings, retrieval augmented generation (RAG), and scalable AI architectures particularly on AWS.
• Strong communication and stakeholder engagement skills to translate AI capabilities into strategic value.
• Experience with Enterprise Education systems such as Canvas, Salesforce and Service Now
• Familiarity with multi-modal AI applications and autonomous Agentic AI architectures.
• Experience in building AI powered recommendation systems, search engines, or interactive AI assistants.
• Background in AI ethics, governance, and responsible AI development practices.
• Demonstrated ability to model empathy, compassion, and emotional intelligence.
• Experience in a values-driven organization with a strong commitment to inclusion and belonging.
• Ability to cultivate a psychologically safe environment where all team members can thrive.
• Capacity to inspire and drive meaningful change in individual, institutional, and corporate behaviors to support a more sustainable environment.
• Commitment to leading by example through effective communication, active participation, and advocacy for the institution’s sustainability programs.

Working Environment:

• Full-Time Position with 3 days required in the office and 2 days flexible.
• Activities are performed in an environmentally controlled office setting subject to extended periods of sitting, keyboarding and manipulating a computer mouse.
• Required to stand for varying lengths of time and walk moderate distances to perform work.
• Regular activities require ability to quickly change priorities, which may include and/or are subject to resolution of conflicts.
• Clearly communicate to perform essential functions.

About Enterprise Technology:

Enterprise Technology (ET) embraces its role as both an enabler and catalyst for advancing the vision and work of the New American University.  We are a values driven organization.  Our commitments are reflected in all of the work we do in pursuit of operational excellence, the experience and delight of our community, and our strategic and innovation initiatives. Applicants must be eligible to work in the United States.

Join the team that sparks human-centered innovation

ET is a rapidly reconfigurable and entrepreneurial organization at ASU that prioritizes and executes to meet the needs of our community of learners, faculty, researchers and staff. Our work emphasizes autonomy, flexibility and distributed decision making to leverage the strengths of individuals. Together, we embrace a culture that nurtures, engages and embraces many voices with a shared lens of positive community impact and expanded opportunities for collaboration.

Why join us?

Mission oriented. Everything we do is to advance ASU’s charter -- measuring who we include and how they succeed. We are staunch champions of learner success and put people first.

Flexibility.  Our flexible work environment allows employees to explore opportunities with their supervisor beyond the traditional work schedule. Opportunities include hybrid work where staff are in person three days per week.

Culture forward.  We embrace a Positive Core culture: Belonging, Relational, Authentic, Visionary and Empowered.

Scale of impact.  Our work changes the world. With 180k+ learners, faculty, researchers and staff, working with ET means you have the capacity to improve many lives and entire communities.

World-class, low cost education.  Our professional development is built in! ET encourages staff to seek additional certificates and degrees via ASU’s top ranked programs with major tuition breaks.

Exposure to industry giants.  ET partners with Amazon, Apple, Arista, Cox, Verizon, Salesforce, Alteryx and a diversity of technology companies to enhance our innovations and deepen their impact.

ASU Statement:

Arizona State University is a new model for American higher education, an unprecedented combination of academic excellence, entrepreneurial energy and broad access. This New American University is a single, unified institution comprising four differentiated campuses positively impacting the economic, social, cultural and environmental health of the communities it serves. Its research is inspired by real world application blurring the boundaries that traditionally separate academic disciplines. ASU serves more than 80,000 students in metropolitan Phoenix, Arizona, the nation's fifth largest city. ASU champions intellectual and welcomes students from all fifty states and more than one hundred nations across the globe.

ASU is a tobacco-free university. For details visit 

AmeriCorps, Peace Corps, and other national service alumni are encouraged to apply.

Arizona State University is a VEVRAA Federal Contractor and an Equal Opportunity/Affirmative Action Employer. All qualified applicants will be considered without regard to race, color, sex, religion, national origin, disability, protected veteran status, or any other basis protected by law.

Department Statement:

As with all members of the Enterprise Technology team, this role carries core responsibilities, including fostering a sense of belonging and cultivating a culture that is relational, visionary, and empowering. With a strong emphasis on authenticity and compassion, this position is dedicated to embodying and advancing our culture. 

Are you passionate about AI and eager to shape the future of AI driven innovation at a leading university? Join our AI Acceleration Team at Enterprise Technology as the MLOps and AI Development Engineering Lead. This role will play a pivotal role in building world-class AI platforms that empower students, faculty, and researchers. We are creating cutting-edge infrastructure that seamlessly integrates dozens of LLM models, multiple vector databases, and scalable AWS architecture designed to support thousands of users.

We are looking for an experienced AI Engineer & Technical Leader who thrives at the intersection of machine learning, cloud architecture, and team leadership. In this role, you will lead a highly motivated team, oversee the development of AI solutions, and drive forward-thinking strategies in LLM fine tuning, multimodal AI, and agent-based systems. You’ll collaborate with executive leadership to execute a bold vision: making AI more accessible while pushing the boundaries of innovation.

All candidates must submit a cover letter  with their application.

Instructions to Apply:

Current Employees and Students should apply directly within Workday using the Jobs Hub. Use this link and log in using SSO:

To be considered, your application must  include all  of the following attachments: 

• Cover letter
• Resume/CV

Note: Multiple documents can be submitted into the attachment box. Alternatively, merge all documents into one PDF for submission.

Please include all employment information in month/year format (e.g., 6/88 to 8/94), job title, job duties and name of employer for each position. Resume should clearly illustrate how prior knowledge and experience meets the Minimum and Desired qualifications of this position. NOTE: GA and Intern positions are counted as .5 for job experience (ie. 1 year equals 6 months experience equivalency). Only electronic applications are accepted for this position.

Need help finding the right job?

We can recommend jobs specifically for you! Create a custom Job Alert by selecting criteria that suit your career interests.

ASU Statement:

Arizona State University is a new model for American higher education, an unprecedented combination of academic excellence, entrepreneurial energy and broad access. This New American University is a single, unified institution comprising four differentiated campuses positively impacting the economic, social, cultural and environmental health of the communities it serves. Its research is inspired by real world application blurring the boundaries that traditionally separate academic disciplines. ASU serves more than 100,000 students in metropolitan Phoenix, Arizona, the nation's fifth largest city. ASU champions inclusive excellence, and welcomes students from all fifty states and more than one hundred nations across the globe. 

ASU is a tobacco-free university. For details visit 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other basis protected by law.

Notice of Availability of the ASU Annual Security and Fire Safety Report:

In compliance with federal law, ASU prepares an annual report on campus security and fire safety programs and resources. ASU’s Annual Security and Fire Safety Report is available online at 

You may request a hard copy of the report by contacting the ASU Police Department at . 

Relocation Assistance – For information about schools, housing child resources, neighborhoods, hospitals, community events, and taxes, visit

Employment Verification Statement:

ASU conducts pre employment screening which may include verification of work history, academic credentials, licenses, and certifications.

Background Check Statement: 

ASU conducts pre employment screening for all positions which includes a criminal background check, verification of work history, academic credentials, licenses, and certifications. Employment is contingent upon successful passing of the background check.

Fingerprint Check Statement:

This position is considered safety/security sensitive and will include a fingerprint check. Employment is contingent upon successful passing of the fingerprint check.

About Arizona State University

Recognized by U.S. News & World Report as the country’s most innovative school, Arizona State University is where students and faculty work with NASA to develop, advance and lead innovations in space exploration.

To view full description or to apply please click this link:

JOB DESCRIPTION OVERVIEW 

The AI Development Manager and Solution Architect leads technical teams through the full software development lifecycle (SDLC), from initial solution concept through deployment and ongoing support, while also designing and overseeing the architecture of custom AI, analytics, and data science solutions. This individual manages multiple concurrent projects, ensuring that solutions align strategically with business objectives, regulatory compliance, budget, timeline, and quality standards. They supervise teams comprising developers, data scientists, architects, and analysts, guiding agile practices and fostering team productivity, collaboration, and professional growth. The role requires deep expertise in integrating cloud-based technologies (e.g., Microsoft Azure AI related products), large language models (LLMs), AI frameworks, and custom-developed components into secure, scalable, and compliant solutions tailored for life sciences and healthcare clients. The AI Development Manager and Solution Architect ensures the effective use of technology stacks and modern containerization practices while collaborating closely with technical teams, stakeholders, and clients. 

POSITION RESPONSIBILITIES 

• Evaluate, select, and integrate commercial and open-source technologies, including Microsoft Azure services, Python environments, and LLM APIs (OpenAI, Anthropic, Perplexity, Meta). 

• Lead design sessions and technical workshops with client stakeholders to define solution requirements and architecture. 

• Document detailed architectural diagrams, technical specifications, and implementation plans. 

• Provide hands-on code development and configuration of all architectural components, services, and products. 

• Lead software development initiatives from requirements and design through development, testing, deployment, and support. 

• Architect robust AI and data-driven solutions leveraging industry-leading technologies. 

• Manage technical teams, including developers, data scientists, architects, and analysts. 

• Apply agile methodologies (Scrum, Kanban) for effective project planning, execution, and team coordination. 

• Provide ongoing architectural oversight throughout the project lifecycle, ensuring compliance with regulations (e.g., 21 CFR Part 11, HIPAA). 

• Establish and promote architectural best practices, standards, and governance models for AI and analytics development and deployment. 

• Collaborate with clients to understand their business goals, AI maturity, and develop tailored strategies and solution roadmaps. 

• Interface effectively with executives and stakeholders to communicate clearly about project scopes, progress, resource needs, and risks. 

• Track, control, and report on project scopes, budgets, risks, schedules, and overall quality. 

• Support business development efforts, including RFP responses, solution proposals, technical consultations, and client presentations. 

• Continuously evaluate emerging AI trends, tools, and platforms to maintain solution effectiveness and innovation. 

• Drive internal development of reusable frameworks, components, and accelerators for future projects. 

• Contribute actively to the firm's AI strategy, thought leadership initiatives, and knowledge-sharing activities.  

• Mentor team members, encourage a culture of innovation, and uphold high standards for engineering excellence. 

• Provide technical mentorship to development team members as needed. 

REQUIRED QUALIFICATIONS, SKILLS, AND EXPERIENCE 

• Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related technical discipline; Master’s degree preferred. 

• 7+ years of experience in solution architecture and software development, including at least 2 years in a management or leadership role. 

• Prior experience in consulting, specifically in life sciences or healthcare environments; strongly preferred. 

• Proven track record of delivering complex projects in a client-facing or consulting capacity. 

• Demonstrated experience in regulatory compliance solutions and software used in life sciences (e.g., 21 CFR Part 11, HIPAA). 

• Advanced expertise in Microsoft’s technology stack (Azure, SharePoint, Co-Pilot), DevOps practices (Azure DevOps, GitHub Actions), and containerization (Docker, Kubernetes). 

• Familiarity with AI orchestration platforms such as Azure Machine Learning, Databricks, and MLflow. 

• Deep understanding of AI/ML algorithms, frameworks, lifecycle management (MLOps), and software engineering best practices. 

• Proven experience managing software solutions and deployments in Microsoft Azure environments. 

• Competence in security best practices (Azure Security Center, Azure Key Vault). 

• Strong leadership, team management, and mentoring skills with proven ability to grow and develop team capabilities. 

• Excellent interpersonal, communication, client engagement, and consultative problem-solving skills. 

• Certifications or professional training in cloud technologies (Azure), AI/ML, or agile methodologies strongly preferred. 

Powered by JazzHR

• Advanced degree (Master's or Ph.D.) in a relevant field such as AI Ethics, Philosophy, Law, Computer Science, Sociology, or related discipline.
• Minimum of 7 years of experience in AI ethics, responsible AI, or related fields.
• Proven experience in developing and implementing ethical frameworks, policies, or guidelines for technology.
• In-depth knowledge of AI technologies, machine learning, and their societal implications.
• Familiarity with AI bias, fairness, explainability, and privacy-preserving techniques.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong written and verbal communication skills, with the ability to articulate complex ethical concepts clearly.
• Experience in conducting ethical reviews or impact assessments.
• Ability to collaborate effectively with diverse, cross-functional teams.
• Passion for ensuring the responsible development and deployment of AI.