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Director, AI / ML Platform Engineering Lead (Princeton)

Director, AI / ML Platform Engineering Lead (Princeton)

Otsuka Pharmaceutical Co.Princeton, NJ, United States
12 hours ago
Job type
  • Full-time
Job description

Job Summary

We are seeking a hands-on AI / ML Architect / Engineer to design, build, and scale our next-generation platforms for Generative AI, LLMOps, and MLOps within a pharmaceutical environment. This role is pivotal in enabling the responsible and efficient adoption of AI across R&D, commercial, and support functions. The ideal candidate will collaborate closely with data scientists, business partners, and other business and IT stakeholders to transform AI concepts into production-ready solutions using technologies such as DataIKU, Microsoft Azure AI Services, and AWS AI Services. This is a strategic and technical role focused on delivering real-world impact through robust, scalable AI platforms.

Key Responsibilities

  • Architect and implement enterprise-scale AI / ML platforms to support GenAI, traditional ML, and hybrid use cases.
  • Enable end-to-end LLMOps and MLOps capabilities, including model lifecycle management, CI / CD, prompt versioning, monitoring / observability, and governance.
  • Develop and integrate AI workflows using DataIKU, Azure AI Services (e.g., OpenAI, Search, Cognitive Services, etc), Snowflake Cortex, and AWS AI Services (e.g., Amazon Bedrock, Amazon Comprehend, etc).
  • Design and implement agentic architectures using frameworks such as LangChain, LangGraph, AutoGen, or Semantic Kernelenabling multi-step reasoning, tool orchestration, memory persistence, and task planning.
  • Build reusable tools, SDKs, and templates to support efficient development and deployment by cross-functional teams.
  • Collaborate with business partners, data scientists, and product owners to identify, prioritize, and deliver high-value AI use cases.
  • Ensure compliance with regulatory, data privacy, and responsible AI guidelines throughout the AI lifecycle.
  • Provide hands-on support and mentorship to project teams deploying AI solutions across the business.
  • Contribute to enhancing the AI readiness and Data literacy across the organization.
  • Continuously evaluate emerging GenAI technologies, vector search strategies, and foundation models to enhance platform capabilities.
  • Establish and maintain the AI platform strategic roadmaps aligned with the company's business priorities and the vision for AI, collaborating closely with relevant business and IT stakeholders.
  • Implement FinOps for AI platforms to ensure proper financial discipline for cost forecasting and tracking, including providing cost metrics to the teams utilizing the platforms.
  • Work closely with the Managed Service Providers to manage platform demand and perform Ops & Support resource planning.

Required Qualifications

  • 7+ years of experience in software engineering, data science, or AI / ML engineering, including 3+ years in a senior engineering lead or architect role.
  • Proven experience productionizing Generative AI and LLM solutions, including agent-based systems leveraging LangChain Agents, AutoGen, or Semantic Kernel with tool use, memory, and task chaining.
  • Hands-on expertise with DataIKU, including plugin development, automation scenarios, and Python integration.
  • Strong proficiency in Azure AI Services and AWS AI Services.
  • Proficient in Python, with practical experience in developing scalable AI services using FastAPI, Docker, Kubernetes, and CI / CD tools.
  • Familiarity with vector databases (e.g., OpenSearch, Pinecone, etc) and enterprise search strategies using embeddings.
  • Deep understanding of LLMOps / MLOps best practices, including experimentation tracking, performance monitoring, model safety, and prompt evaluation.
  • Demonstrated ability to set technical standards, define architectural patterns, and foster enterprise-wide alignment.
  • Experience with vendor selection and management.
  • Excellent communication and stakeholder engagement skills, especially in cross-functional teams involving business and technical partners.
  • Strong ability to influence outside of functional area regarding policies, practices and procedures as it pertains to introduction of new AI technologis and adoption of Responsible AI principles.
  • Strong collaborative mindset, able to work cross-functionally across business, data, and engineering teams.
  • Results-oriented, with a track record of delivering impactful solutions in complex environments.
  • Experience working in or supporting regulated industries, preferably life sciences, healthcare, or pharmaceuticals.

    • Our Culture

    About Our Culture

    As we work to develop solutions that enhance peoples' lives, we also work to care for our teammates' professional and personal growth and well-being.

    Growth and Development

    As a member of our team, we see your growth and learning as being critical for an individual career. We will work with you within your first 30 days to establish a growth path that aligns your aspirations with ours.

    Core Values

  • Accountability for Results - Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change.
  • Strategic Thinking & Problem Solving - Make decisions considering the long-term impact to customers, patients, employees, and the business.
  • Patient & Customer Centricity - Maintain an ongoing focus on the needs of our customers and / or key stakeholders.
  • Impactful Communication - Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka.
  • Respectful Collaboration - Seek and value others' perspectives and strive for diverse partnerships to enhance work toward common goals.
  • Empowered Development - Play an active role in professional development as a business imperative.
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