Senior AI ENGINEER – Application Development jobs in United States
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Cambia Health Solutions · 2 weeks ago

Senior AI ENGINEER – Application Development

Cambia Health Solutions is dedicated to creating a person-focused and economically sustainable health care system. They are seeking a Senior AI Engineer responsible for designing, building, and productionizing AI applications that improve healthcare for Cambia members, while also mentoring teams and establishing engineering standards.

BiotechnologyHealth CareInformation Technology
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H1B Sponsor Likelynote

Responsibilities

Design and build production AI applications that leverage Cambia's AI/ML platform
Develop rapid GenAI prototypes to validate technical approaches and business value
Transform experimental models and prototypes into production-ready applications
Build APIs, user interfaces, and integrations that expose AI capabilities to end users
Implement application-level monitoring, error handling, and observability
Design and implement evaluation frameworks to continuously assess AI application quality and safety
Write production code, conduct code reviews, and maintain high engineering standards
Troubleshoot and resolve complex issues with AI applications in production
Optimize application performance, cost, and user experience
Define and champion AI application engineering standards and best practices
Architect solutions for complex AI application challenges
Mentor AI engineers and scientists on production application development
Lead technical design reviews for AI-powered features and applications
Evaluate and recommend new AI technologies, frameworks, and application patterns
Collaborate with platform engineers to provide feedback on platform capabilities
Work with cross-functional teams to align technical solutions with business needs
Contribute to technical roadmap for AI application development
Represent application engineering perspective in planning discussions
Share knowledge through internal tech talks, documentation, and training
Stay current with GenAI and AI application development innovations

Qualification

AI application developmentPythonML technologiesAPI developmentNLP technologiesGenAI technologiesApplication architectureCI/CDModel serving APIsTechnical leadershipMentoringCommunication skillsProblem-solving

Required

Expert-level experience designing and building production AI applications at scale
Proven track record of establishing application engineering standards and best practices adopted across teams
Strong hands-on coding skills with production Python, API development, and application architecture
Experience architecting AI-powered applications from prototype to production
Ability to evaluate and introduce new AI technologies and application patterns
Deep experience building production applications using ML, NLP, and GenAI technologies
Strong software engineering fundamentals: API design, testing, observability, error handling
Solid grounding in AI evaluation methodologies (evals) for assessing model & application performance
Experience with application deployment patterns (containerization, CI/CD)
Proficiency in working with ML platforms and model serving APIs
Knowledge of application monitoring, logging, and debugging in production environments
Experience integrating AI capabilities into user-facing applications and business workflows
Comprehensive understanding of ML, DL, NLP, and GenAI from an application development perspective
Experience working with AI scientists to integrate models into production applications
Understanding of prompt engineering, RAG patterns, GenAI, and agentic application architectures including Model Context Protocol (MCP) for tool integration
Familiarity with model APIs, versioning strategies, and handling model updates in applications
Knowledge of responsible AI practices: bias detection, explainability, safety guardrails
Demonstrated ability to mentor engineers through code review, design review, and pair programming
Strong communication skills - can explain technical decisions to engineers, AI scientists, product managers, and business stakeholders
Experience driving technical initiatives across multiple application teams
Track record of improving development velocity and application reliability
Bachelor's degree in Computer Science, Engineering, or related field
10+ years of experience in software development, AI/ML Engineering, or related discipline
Equivalent combination of education and experience

Preferred

Industry recognition through publications, conference talks, or open-source contributions
Experience in healthcare or other regulated industries
Background in distributed systems or high-scale application development

Benefits

Medical, dental and vision coverage for employees and their eligible family members, including mental health benefits.
Annual employer contribution to a health savings account.
Generous paid time off varying by role and tenure in addition to 10 company-paid holidays.
Market-leading retirement plan including a company match on employee 401(k) contributions, with a potential discretionary contribution based on company performance (no vesting period).
Up to 12 weeks of paid parental time off (eligibility requires 12 months of continuous service with Cambia immediately preceding leave).
Award-winning wellness programs that reward you for participation.
Employee Assistance Fund for those in need.
Commute and parking benefits.

Company

Cambia Health Solutions

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Cambia Health Solutions is a nonprofit total health solutions company based in the Pacific Northwest/Intermountain region, serving

H1B Sponsorship

Cambia Health Solutions has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (12)
2024 (11)
2023 (7)
2022 (12)
2021 (23)
2020 (24)

Funding

Current Stage
Late Stage

Leadership Team

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Jared L. Short
President & CEO
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Mike Rains
Chief Financial Officer
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