AI Architect/AI Engineer – Generative & Agentic AI

About The Role

We are seeking an experienced hands-on AI Architect to lead the architecture, design, and delivery of enterprise-scale Generative and Agentic AI solutions. This is a hands-on architectural leadership role spanning system design, rapid proof-of-concept (POC) and MVP delivery, API-first solution architecture, and technical governance across our AI platform. The ideal candidate combines deep technical depth in LLMs, multi-agent orchestration, and RAG architecture with the ability to translate business needs into scalable, production-grade AI systems and to mentor engineering teams along the way.

Key Responsibilities

• Own end-to-end architecture for enterprise Generative AI and Agentic AI solutions, from concept through production.
• Lead rapid POC and MVP development to validate AI use cases and de-risk technical approaches before full build-out.
• Architect scalable AI platforms leveraging LLMs, RAG pipelines, vector databases, and multi-agent orchestration frameworks (LangGraph, AutoGen, Semantic Kernel).
• Design API-first architectures (REST/GraphQL) that expose AI capabilities to downstream applications and enterprise systems.
• Define technology selection, architecture standards, and best practices for prompt engineering, model evaluation, and AI governance / Responsible AI.
• Architect and guide MLOps/LLMOps practices for deployment, monitoring, and model/agent lifecycle management.
• Lead architecture reviews and present designs to executive sponsors and engineering teams; drive stakeholder alignment.
• Mentor AI engineers, set coding and architecture standards, and raise the technical bar across the team.
• Evaluate and select cloud-native AI services (Azure AI Foundry, Google Vertex AI), balancing scalability, cost, security, and performance.

Our Tech Stack

• Databricks platform, Unity Catalog for governance, Delta Lake for data storage, Databricks Apps for hosting, and Databricks AI Gateway for model routing and governance.
• Microsoft Azure, including Azure AI Foundry for model deployment and orchestration.
• Multi-LLM provider access. Anthropic Claude, OpenAI (GPT & Codex), and other foundation models.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
• 6+ years of overall IT experience spanning software engineering, cloud architecture, and/or AI/ML.
• 3+ years of hands-on architecture experience specifically in Generative AI / Agentic AI systems.
• Strong expertise in Python and modern AI development frameworks.
• Demonstrated experience architecting solutions with LLMs (OpenAI, Claude, Gemini, Llama, or open-weight models).
• Deep understanding of RAG architectures, vector databases (Pinecone, FAISS, Databricks Vector Databases, pgvector), and embedding models.
• Experience architecting on at least one major cloud platform (Azure, AWS, or GCP), including native AI services (Azure AI Foundry / Azure OpenAI, AWS Bedrock, Google Vertex AI).
• Proven experience with MLOps/LLMOps: CI/CD, containerization (Docker/Kubernetes), observability, and evaluation frameworks.
• Strong grounding in AI governance, security, compliance, and Responsible AI practices.
• Excellent communication skills, with the ability to present architecture to both executives and engineers.

Preferred Qualifications

• Experience designing state management and persistent memory for long-running autonomous agents.
• Familiarity with Model Context Protocol (MCP) and emerging AI agent ecosystems.
• Experience with AI observability / evaluation tooling (LangSmith, Ragas, Langfuse, or custom eval harnesses).
• Prior consulting, client-facing, or forward-deployed architecture experience.
• Relevant cloud certifications (Azure AI Engineer/Architect, AWS ML Specialty, Google Professional ML Engineer).
• Experience with NL-to-SQL, knowledge graphs, or GraphRAG-style architecture.

Healthcare Domain Preference

We strongly prefer candidates who bring healthcare knowledge alongside their AI expertise. Our AI platforms are architected on healthcare distribution and specialty pharmacy data — experience with healthcare distribution, specialty pharma data, or healthcare EMR/EHR systems (HL7, FHIR, claims, NDC-level data) is a significant advantage.

Benefits

• Medical, dental, and vision care
• Comprehensive suite of benefits focusing on physical, emotional, financial, and social wellness
• Support for working families including backup dependent care, adoption assistance, infertility coverage, family building support, behavioral health solutions, paid parental leave, and paid caregiver leave
• Training programs and professional development resources
• Mentorship programs, employee resource groups, and volunteer activities