Associate Director, IT Senior Engineer

Otsuka Pharmaceutical Co., Ltd. • Princeton, NJ

13d • $169,222 - $253,000

About The Position

We are seeking a hands on Sr. AI Platform Engineer (Associate Director) to collaborate and drive platform aligned AI outcomes across the enterprise. The role provides engineering leadership and AI solution architecture oversight for platform and framework deliverables - reference patterns and guardrails, CI/CD & IaC blueprints, governance by design controls, observability, and cost/performance posture - delivered on approved platforms (Dataiku, Azure AI, AWS Bedrock/AgentCore, Snowflake Cortex). Operating in a regulated pharmaceutical environment, you will lead small delivery teams and collaborate with Data Science, Cloud/Infrastructure, and IT to guide use cases onto secure, reliable, compliant production pathways, while building reusable components and agentic enablement patterns adopted across domains.

Requirements

• 10–12+ years of hands‑on experience in AI/ML Platform Engineering, LLMOps/MLOps, DevOps with a proven track record of building and deploying production‑grade AI systems.
• Depth with cloud AI platform services on Azure (OpenAI, Azure AI/ML, Cognitive Search) and AWS (Bedrock, AgentCore, Comprehend, SageMaker), with sound build‑vs‑buy judgment.
• Strong Python engineering skills and proficiency with FastAPI or Flask for building AI‑powered services.
• Hands‑on with Dataiku for workflow orchestration, automation scenarios, model integration, or plugin‑based extensions.
• Deep familiarity with Agentic AI frameworks - LangChain, LangGraph, AutoGen, Semantic Kernel - with demonstrated experience building multi‑agent workflows, autonomous task orchestration, and tool‑enabled agent systems. (RAG familiarity is valued but not the primary emphasis.)
• Experience with prompt engineering and iterative prompt refinement for internal LLM use cases.
• Working knowledge of containerization (Docker), CI/CD tooling, and vector database integrations (e.g., OpenSearch, Pinecone).
• Strong collaboration skills and the ability to work closely with data scientists, engineers, security/compliance partners, and business stakeholders in a regulated environment.
• Effective communication, technical storytelling, and problem‑solving skills; able to influence technical direction across teams.
• Self‑motivated, hands‑on, and results‑oriented, with continuous learning in GenAI, Agentic AI, and modern orchestration patterns.

Nice To Haves

• Cloud/GenAI: AWS or Azure AI / AWS or Azure Developer / AWS Solutions Architect; AWS Bedrock or Generative AI, Machine Learning Specialty.
• Agentic/AI Tooling: LangChain / Semantic Kernel badges or equivalent micro‑credentials.

Responsibilities

• Design and Engineer reusable Agentic AI components and multi‑agent workflows for planning, reasoning, memory, and tool orchestration using LangChain, LangGraph, AutoGen, and Semantic Kernel.
• Apply emerging AI interaction standards including Model Context Protocol (MCP) and A2A (Agent‑to‑Agent) communication to support scalable multi‑agent systems.
• Lead small platform/ partner teams to deliver framework components: CI/CD blueprints, IaC modules, prompt/model versioning, evaluation harnesses, policy‑as‑code, observability dashboards (telemetry/drift/safety), and incident runbooks.
• Help and drive enablement of the Agentic AI C4E by creating practitioner knowledge articles, supporting and leading office hours, and engaging on project scoping, architecture reviews, and governance alignment.
• Contribute and operationalize enterprise AI reference architectures, standards, and guardrails to align teams on consistent patterns and quality.
• Implement evaluation frameworks for LLMs, prompts, safety/guardrails, hallucination risk, and performance metrics; de‑emphasize RAG where not required.
• Contribute to enhancing internal AI frameworks, orchestration templates, and reusable components to improve scalability and delivery consistency.
• Collaborate with Platform Engineering to align deployments with enterprise CI/CD, observability, governance, and operational standards; advance reliability for AI workloads (SLOs, telemetry, incident prevention) with SRE/SecOps.
• Ensure solutions follow Responsible AI practices, security requirements, privacy‑by‑design, and pharma regulatory controls (GxP, 21 CFR Part 11); embed security‑by‑design and policy enforcement with documentation and traceability.
• Influence technical priorities, sequencing, and trade‑offs across partner teams; provide inputs to vendor selection and adoption decisions where relevant.
• Guide solution teams onto approved platform pathways (Dataiku automation, Azure/AWS AI services, Snowflake Cortex), ensuring scalability, reliability (SLOs), security, and governed delivery in a regulated setting.
• Influence priorities and sequencing, unblock delivery risks, and communicate progress, risks, and value to senior stakeholders.

Benefits

• Comprehensive medical, dental, vision, prescription drug coverage
• company provided basic life, accidental death & dismemberment, short-term and long-term disability insurance
• tuition reimbursement
• student loan assistance
• a generous 401(k) match
• flexible time off
• paid holidays
• paid leave programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior