AI Architect

AI Architect

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We are seeking a senior

AI Architect to lead the design and development of enterprise AI capabilities across a healthcare and cancer research organization. This role will define the architecture, standards, and roadmap for Generative AI, machine learning, enterprise search, RAG, AI assistants, and agentic AI.

Key Responsibilities

* Define enterprise AI architecture, standards, reference designs, and technology roadmap. * Architect Generative AI, LLM, RAG, semantic/vector search, AI assistant, and agentic AI solutions. * Design secure integrations between AI platforms, enterprise applications, APIs, knowledge repositories, and data platforms. * Establish reusable AI services, model-selection patterns, guardrails, evaluation, monitoring, and human-in-the-loop controls. * Define standards for MLOps/LLMOps, deployment, model lifecycle management, and monitoring. * Partner with data, cloud, security, clinical, research, and application teams to move AI solutions into production. * Ensure AI solutions meet requirements for security, privacy, governance, auditability, and responsible AI. * Provide technical leadership and communicate architecture, risks, and technology decisions to senior stakeholders. ===========================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================

Required Skills

* 10+ years in enterprise architecture, solution architecture, data/cloud architecture, software engineering, AI/ML, or related disciplines. * Strong enterprise architecture experience with Generative AI and LLM-based platforms. * Strong knowledge of: + LLMs and Generative AI + RAG and enterprise search + Embeddings and vector databases + AI agents / agentic workflows + APIs and enterprise integrations + Cloud AI platforms + MLOps / LLMOps * Strong understanding of modern data architecture, cloud platforms, APIs, containers/Kubernetes, and distributed systems. * Experience designing solutions involving sensitive or regulated data. * Knowledge of AI security, privacy, governance, model risk, and responsible AI. * Strong technical leadership and executive communication skills. ==================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================

Preferred

* Experience with Glean or similar enterprise AI search / knowledge-management platforms. * Healthcare, life sciences, cancer research, pharmaceutical, or other regulated-industry experience. * Familiarity with FHIR, HL7, DICOM, Epic, or clinical/research data environments. * Experience with Azure, AWS, or Google Cloud AI platforms. * Experience with enterprise RAG platforms, vector databases, knowledge graphs, model gateways, or agent frameworks. ===============================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================

Ideal Candidate

A senior architect who combines

enterprise architecture leadership with hands-on technical depth in GenAI, RAG, LLMs, agents, cloud/data architecture, and AI governance. ===========================================================================================================================================================================================================

This is a remote position.