Build working prototypes to validate technical approaches, demonstrate feasibility, and build stakeholder alignment
Write production-quality code when needed to fill gaps, solve complex problems, or establish patterns for teams to follow
Conduct hands-on technical evaluations of emerging AI technologies, frameworks, and platforms
Build proof-of-concepts that translate strategy into tangible demonstrations
Establish architectural patterns for AI systems through working examples and reference implementations
Define standards for AI-specific concerns: evaluation frameworks, observability, monitoring, safety guardrails, model governance, and responsible AI practices
Create and maintain reference architectures for common patterns (RAG systems, agentic applications, ML pipelines)
Lead technical design reviews and document architectural decisions
Serve as primary liaison between Applied AI and enterprise architecture/platform engineering teams

Requirements

Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred
12+ years in technology with minimum 7 years evaluating business requirements and designing complete systems solutions in complex environments
Minimum 2-3 years of technical leadership and architecture experience
Strong coding skills in Python and experience building production AI applications, APIs, and integrations
Practical experience with AI-specific requirements: evaluation frameworks, observability patterns, monitoring strategies, model governance, bias mitigation, and safety guardrails
Experience with AI/ML platforms and cloud services (AWS, Azure, etc.) including hands-on implementation work
Demonstrated architecture experience spanning business units/technology domains with ability to design solutions that work across organizational boundaries
Demonstrated experience architecting for regulated industries (healthcare preferred) with understanding of microservices, event-driven architectures, API design, and cloud-native patterns
Proven ability to translate between AI/ML teams and architecture & engineering teams, finding common ground and building alignment

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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonAI applicationsAPIsintegrationsevaluation frameworksobservability patternsmonitoring strategiesmodel governancebias mitigationsafety guardrails

Soft Skills

technical leadershiparchitecture experiencecommunicationstakeholder alignmentcollaborationproblem-solvingdesign reviewsdocumentation

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Engineeringadvanced degree preferred