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

• 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 business understanding including healthcare technologies and regulations preferred
• Experience in health insurance industry and payer-oriented processes/systems is a plus

What You Will Do

• Build & Prototype
• Prototype solutions, validate technical approaches, 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
• 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