Lead AI Technical Architect, Technology and Digital, FT, 08:30A-5P
About The Position
The primary purpose of this role is to lead the development and communication of target-state architectures, roadmaps, and solutions for technologies at the product portfolio level. With time and experience, the individual in this role may support several technologies spanning multiple product portfolios and/or multiple complex architecture domains (e.g., business, application, data, infrastructure).This includes building high-quality architecture solutions as well as providing guidance on the design and establishment of architecture standards that align with current and future business needs. This role assists in the development, and maintains the architecture for assigned area and drives the adoption of new technologies. To be successful, the individual in this role must have solution architecture experience as well as an understanding of technical trends and innovation. This individual must also have a strategic thought process, business acumen, and the ability to influence leadership. The individual in this role works with little oversight and provides coaching and direction to more junior level architects on the team. The AI Architect owns overall architecture and technical governance for the enterprise AI platform and AI-enabled solutions across Baptist Health. This role is responsible for ensuring that AI capabilities are designed, governed, and operationalize in a way that is coherent, scalable and aligned with enterprise standards. Individual in this role will work in close partnership with product, AI, and cloud engineering teams to ensure enterprise AI initiatives move from architectural intent to delivered business outcomes with speed, consistency and operational confidence. Lead architect will be involved in making architecture decisions spanning, AI platform, AI services and its integration, connectivity across data and semantic layer, security and governance guardrails required to operate AI safely and responsibly in a regulated healthcare environment. The architect leads architecture conversations with business, technical and executive stakeholders, sets technical direction for engineering teams building on the platform, contributes hands-on to critical design and proof-of-concept work, and maintains Architecture Decision Records (ADRs) of Enterprise AI.
Requirements
- 10+ years of professional solutions architecture experience, with at least 5 years in a lead architect role designing and delivering cloud or AI/ML solutions at enterprise scale.
- Hands-on experience architecting solutions on Google Cloud Platform (GCP), including IAM, networking, GKE, and Vertex AI services, working knowledge of AWS cloud (IAM, EKS/ECS, Bedrock).
- Direct experience architecting or integrating enterprise deployments of Google Gemini Enterprise and Anthropic Claude (via API, Vertex AI, or Bedrock), including model routing, prompt and context management, and cost governance across multiple model providers.
- Proven experience designing agentic AI systems: multi-agent orchestration, tool / function-calling contracts, agent registries, and interoperability standards (A2A, MCP, or comparable protocols).
- Hands-on experience with an agent / MCP gateway (e.g., Apigee X or equivalent) as the governed control point for agent and tool traffic — routing, authN/authZ, registration and discovery, rate limiting, policy enforcement, and observability.
- Strong understanding of AI / LLM security and governance: PHI and PII handling in prompts and completions, prompt-injection and jailbreak defenses, indirect injection through retrieved content, model access controls, guardrails, and audit / traceability in a regulated industry.
- Experience with agent and non-human identity and access management — least-privilege, verifiable, and auditable identities and credentials for AI agents and automated workloads.
- Experience with Infrastructure as Code (Terraform) and CI/CD pipeline architecture (GitHub Actions, GitLab CI, or equivalent) for deploying and governing AI services at scale.
- Working knowledge of vector databases, semantic search, and knowledge graph technologies (PostgreSQL extensions, dedicated vector stores, or graph databases) supporting retrieval-augmented generation.
- Understanding of distributed-systems principles — eventual consistency, failure handling, idempotency, resilience patterns — as applied to AI and agentic workloads.
- Experience operating in a healthcare or other highly regulated environment, with familiarity with HIPAA and clinical data-handling requirements; direct experience with Epic or another major EHR is a strong plus.
- Demonstrated experience producing Architecture Decision Records, reference architectures, and comparison / TCO analyses to drive structured, defensible technology decisions.
- Excellent written and verbal communication, with the ability to present architecture decisions to executive, clinical, and technical stakeholders.
- Bachelor’s degree in computer science, Engineering, or a related field, or equivalent practical experience.
- 10+ years' experience in technology disciplines.
- Experience with architecting highly scalable & highly available systems,experience with mobile & other emerging technology trends.
- Ability to synthesize conclusions from research, compare various solutions & plot complex technology roadmaps.
- Broad experience across business,application, information,infrastructure & security architecture domains.
- Broad experience across business analysis,product design,engineering,QA, operations & sustainment in a large corporation/enterprise environment.
- Technical experience in consumer/employee facing enterprise systems.
- Expertise in technical architecture,application systems design & integration in a large heterogeneous enterprise environment with hands on experience in MicroServices, Java/J2EE, XML, Websphere/Weblogic/Apache TomCat Application Server,Rules Engine, Oracle or DB2 programming methodologies.
- Expert understanding of the code/coding practices.
- Demonstrable analytical & problem solving skills.
- Deep understanding/experience of AWS,Azure cloud computing environments & services.
- Excellent communication & relationship skills, especially the ability to articulate advanced technical topics to both technical/non-technical staff.
- Strong presentation skills.
Nice To Haves
- direct experience with Epic or another major EHR is a strong plus.
Responsibilities
- Own end-to-end architecture for the enterprise AI platform across its core domains: model gateway and routing, agent orchestration and registry, context and memory services (RAG, semantic/vector, knowledge graph), data services, observability, and security/governance.
- Define the multi-model strategy and routing architecture across Google Gemini Enterprise and Anthropic Claude (via Vertex AI, Bedrock, and/or direct API), including model selection criteria, cost/performance tradeoffs, failover, and vendor-neutral abstraction patterns.
- Architect the agentic AI foundation: agent registry and system-of-record design, agent-to-agent (A2A) interoperability, Model Context Protocol (MCP) gateway placement and enforcement, tool-calling contracts, autonomy tiering, and human-in-the-loop approval patterns for actions with clinical, financial, or PHI impact.
- Define architecture for agent and non-human identity and access management — verifiable, least-privilege, fully auditable identities and credentials for AI agents, MCP servers, and automated workloads.
- Design the enterprise context and memory architecture: RAG pipelines, semantic/vector search, and knowledge graph patterns that support both conversational agents and downstream automation, with clear data governance boundaries between clinical, operational, and business data.
- Define architecture patterns for integrating AI solutions with clinical systems, with particular attention to Epic EHR touchpoints, ensuring PHI handling, minimum-necessary access, and clinical safety review gates are embedded in the design rather than bolted on.
- Lead design of the AI security and governance layer: data loss prevention for PHI/PII in prompts and outputs, model access controls (RBAC/least-privilege), audit logging and traceability, and alignment with HIPAA, HITECH, and applicable state and federal regulatory requirements.
- Architect defenses against AI-specific threats: prompt injection, jailbreaks, indirect prompt injection through retrieved content or tool outputs, model abuse, data exfiltration via agent tool use, unsafe MCP server behavior, agent manipulation, and shadow-AI risk across the enterprise.
- Establish guardrails against hallucination and unauthorized tool invocation, including content and safety filters, output validation, and hard limits on agent autonomy for high-impact actions.
- Establish AI-platform observability and LLMOps standards: usage and cost telemetry, latency and quality monitoring, model evaluation frameworks, drift detection, regression suites, and incident-response playbooks for AI-specific failure modes.
- Serve as the primary technical escalation point for AI architecture across the enterprise; participate in architecture review boards, AI governance committees, and executive steering forums; provide formal sign-off against Definition of Done for each platform milestone.
- Author and maintain Architecture Decision Records (ADRs), reference architectures, to keep architecture decisions transparent, consistent and defensible.
- Mentor and provide technical direction to AI, platform, data, and security engineers delivering against the roadmap; enforce architectural consistency across all AI workstreams and service domains.
- Partner with Legal, Compliance, Privacy, and Clinical Informatics to ensure AI solution designs satisfy regulatory, ethical, and clinical safety requirements before production release.
Benefits
- Career growth and development opportunities, with clear pathways and ongoing support
- Comprehensive health and wellness resources that go beyond traditional benefits
- A wellness program that can help employees eliminate their medical plan deductible, reducing out-of-pocket healthcare costs
- Tuition reimbursement to support continued learning and advancement
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What This Job Offers
Job Type
Full-time
Career Level
Senior
