What are the responsibilities and job description for the AI Architect - Healthcare position at Jobs via Dice?
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Purpose of the Role
Define’s Client enterprise AI strategy and architecture, including platform selection, LLM evaluation, governance model, technical standards, and alignment with Client’s long-term digital and analytics roadmap.
monitoring approaches.
prompts, integrating APIs, or creating reference implementations.
Required Qualifications
Purpose of the Role
Define’s Client enterprise AI strategy and architecture, including platform selection, LLM evaluation, governance model, technical standards, and alignment with Client’s long-term digital and analytics roadmap.
- Lead the assessment and selection of AI platforms, LLMs, vector databases, orchestration layers, and supporting components, ensuring technology recommendations are vendor neutral and based on Client’s use cases, data landscape, regulatory requirements, and scalability needs.
- Design end-to-end solution architectures for approved AI initiatives, including integration
monitoring approaches.
- Provide hands-on development and technical implementation support on a case-by-case
prompts, integrating APIs, or creating reference implementations.
- Collaborate with Client’s engineering, data, security, and product teams to ensure AI
- Establish and document AI best practices, including coding patterns, evaluation frameworks,
- Support change management, training, and capability uplift initiatives, helping Client
- Provide ongoing advisory to leadership, offering strategic insights, risk assessments, ROI
- Participate in Agile ceremonies and cross-functional planning sessions to ensure AI work aligns with product roadmaps, release plans, and enterprise priorities.
- Deliver architectural documentation, solution diagrams, decision logs, and other artifacts
Required Qualifications
- 15 years of experience in software development with significant focus on AI architecture and system design
- Proven experience designing distributed, scalable, and high-availability systems
- Strong hands-on experience with Microsoft Azure
- Proficiency in Python
- Mandatory healthcare domain experience, preferably in the Payer domain
- 1–2 years of hands-on GenAI experience, specifically on Azure, with production deployment exposure
- Hands-on experience with CI/CD and infrastructure automation, including Azure Pipelines and Bicep
- Terraform experience acceptable with readiness to transition to Bicep
- Strong communication skills with the ability to explain technical concepts to non-technical stakeholders
- Azure certifications (e.g., Azure Solutions Architect Expert)
- Experience working with regulated environments (HIPAA compliance)
- Exposure to multi-cloud or hybrid cloud architectures
- Experience influencing architecture decisions at an enterprise level