Senior AI/ML Solutions Architect

About the role

Join our Cause to create a person-focused and economically sustainable health care system. This is a unique technical leadership role that sits at the critical intersection of AI innovation and enterprise architecture.

Responsibilities

• Develop 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
• Translate requirements bidirectionally: AI needs to enterprise architects, enterprise constraints to AI engineers
• Advocate for AI-specific requirements within traditional architecture frameworks while ensuring alignment with Cambia's technology strategy
• Guide AI/ML portfolio decisions
• Think strategically about Applied AI's portfolio, identifying architectural patterns and reuse opportunities
• Evaluate technical feasibility and integration complexity for product roadmap decisions
• Provide recommendations balancing innovation with enterprise readiness
• Architect solutions for complex integrations involving multiple organizations and platforms
• Represent Cambia's technical interests in collaborative initiatives, building alignment through clear technical communication

Qualifications

• Hands-on Technical Expertise
• 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
• Architecture & Integration Experience
• Demonstrated architecture experience spanning business units/technology domains with ability to design solutions that work across organizational boundaries
• Proven ability to design solutions that work across organizational boundaries and complex partnership integrations
• Collaboration & Consensus Building
• Exceptional consensus-building skills: brings stakeholders together through prototypes, demonstrations, and shared technical understanding
• Pristine communication skills across technical domains: can explain AI system needs to infrastructure teams and enterprise constraints to AI engineers
• Strategic thinking about product portfolios: can see patterns across multiple AI initiatives and identify opportunities for reuse and standardization
• Mentoring ability with engineers and architects, helping teams grow their technical capabilities
• Strong interpersonal skills: relates well to people across all organizational levels and establishes trust through genuine collaboration

What You Will Do At Cambia

Build & Prototype

Develop 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

Shape AI Architecture Standards

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

Bridge AI and Enterprise Architecture

Serve as primary liaison between Applied AI and enterprise architecture/platform engineering teams

Translate requirements bidirectionally: AI needs to enterprise architects, enterprise constraints to AI engineers

Advocate for AI-specific requirements within traditional architecture frameworks while ensuring alignment with Cambia's technology strategy

Guide AI/ML Portfolio Decisions

Think strategically about Applied AI's portfolio, identifying architectural patterns and reuse opportunities

Assess technical feasibility and integration complexity for product roadmap decisions

Evaluate emerging technologies and provide recommendations balancing innovation with enterprise readiness

Architect solutions for complex integrations involving multiple organizations and platforms

Represent Cambia's technical interests in collaborative initiatives, building alignment through clear technical communication

Pay

The expected hiring range for a Senior AI/ML Architect is $153K - $192K/year depending on skills, experience, education, and training; relevant licensure / certifications; and performance history. The bonus target for this position is 20%.

Schedule

The current full salary range for this role is $153K - $250K/year.