> Markdown version of [/jobs/ext/2843589-innovation-data-analytics-team-ai-ml-engineer-agentic-systems](https://www.wearedevelopers.com/jobs/ext/2843589-innovation-data-analytics-team-ai-ml-engineer-agentic-systems). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Innovation, Data & Analytics Team, AI/ML Engineer (Agentic Systems) - **Company:** Pfizer Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $162,900.0 - $271,500.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Information Engineering, Machine Learning, Software Engineering, Large Language Models, Multi-Agent Systems, Build Management, Kubernetes, Information Technology, Data Analytics, Machine Learning Operations, Api Management - **Published:** September 11, 2026 - **Apply:** https://dejobs.org/x/x/A16F2DE607A54C1B90AD3CAABF72033C/job/ ## About the Role Candidate demonstrates strong technical execution and the ability to operate independently in a fast-paced, regulated environment, partnering effectively across data science, data engineering, and governance functions. * Degree in Computer Science, Software Engineering, Machine Learning, or a related field * Experience (8+ years with Bachelor's; 7+ years with Master's) in software or ML engineering, notably in the healthcare/pharma sector * Experience with agentic frameworks (e.g., LangGraph, Pydantic AI, or similar) * Strong software engineering background, including production system design and testing * Experience integrating LLM APIs and exposure to MLOps practices (evaluation, monitoring, cost control) * Healthcare data experience preferred * Effective English verbal and written communication with flexibility to be clear, consistent, compliant, and appropriate for a variety of settings including scientific/technical, regulatory, and business audiences Technical: * Anticipates Customer and Market Needs - Knows the industry and technology landscape; is dedicated to meeting the expectations of internal and external customers; always focused on patient safety first. * Acts Decisively - Makes timely and effective engineering decisions; acts with urgency and removes barriers that hinder productivity. * Builds Change-Agile Systems - Designs agentic systems that are flexible and adaptive to evolving business needs. * Strategic and Innovative Thinking - Demonstrates insightful thinking by developing creative approaches to agentic system design. * Is a role model of Pfizer's values and behaviors. Demonstrate ability to: * Drive transformational change * Engage diverse technical and business stakeholders * Understand the applications of technology to the Life Science sector ## Description Own the orchestration layer and agent architecture behind the Innovation, Data & Analytics team's AI-based workflows, building and hardening agentic systems that translate analytical methodology into reliable production tools., Agentic Systems Design & Build * Own orchestration frameworks and agent architecture for AI-based workflows * Build and harden agentic workflows for production use * Design prompt architecture and tool/API integrations across agentic systems * Translate the Senior Data Scientist's methodology and evaluation criteria into deployed, production-grade agents Production Reliability & Collaboration * Partner with the Data Engineer to ensure agents consume clean, well-structured data * Partner with the Senior Data Analyst to ensure agentic workflows meet governance, audit, and compliance requirements * Implement monitoring, evaluation, and cost controls for LLM-based systems in production * Document agent architecture, prompt design, and tool integrations to support governance and audit needs * Proactively identify opportunities to improve workflow reliability, latency, and cost ## Related Videos - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From APIs to MCP: Enterprise Governance, Registry, and Controls](https://www.wearedevelopers.com/videos/100336-from-apis-to-mcp-enterprise-governance-registry-and-controls) - [AI and Agility: The Dynamic Duo for Disruption](https://www.wearedevelopers.com/videos/2081-ai-and-agility-the-dynamic-duo-for-disruption) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)