Job Description Summary

The technical product delivery specialist is responsible for prototyping, development, operational activities as it relates to building and implementing custom AI products and/or off the shelf configurable solutions to our business stakeholders. This associate will work very closely with our product delivery teams across the entire lifecycle from discovery to implementation.

Job Description

We are the makers of possible 

 

BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities. 

 

We believe that the human element, across our global teams, is what allows us to continually evolve. Join us and discover an environment in which you’ll be supported to learn, grow and become your best self. Become a maker of possible with us. 

Job Responsibilities: (Primary Duties, Roles, and/or Authorities) 

• Support the end-to-end delivery of custom AI solutions, prototyping including data preparation, development, model integration, testing, and deployment.  

• Establish observability for AI services (LLM, RAG, ML pipelines) with dashboards, alerts, and SLA/SLO tracking. 

• Manage incident/problem/change processes for AI workloads; perform root‑cause analysis and controlled releases. 

• Govern prompt lifecycle (versioning, rollback, evaluation) and enforce guardrails to reduce hallucinations. 

• Monitor token usage and optimize cost, context windows, and retrieval quality for GenAI solutions. 

• Operate ML pipelines with drift detection, data quality checks, and reproducibility controls. 

• Configure and maintain enterprise AI platforms (e.g., Copilot Studio) within sandboxed environments and DLP guardrails. 

• Define and maintain operational runbooks, escalation matrices, and support tiers (L0/L1/L2). 

• Coordinate secure access provisioning and audit trails for AI platforms and vendor teams. 

• Implement gated approvals and change control for deployments across Dev/QA/Prod environments. 

• Drive Responsible AI governance: complete intake assessments, risk profiling, and maintain audit‑ready documentation. 

• Work with cross-functional teams including data scientists, developers, and product managers to ensure timely and high-quality delivery.  

• Stay current with emerging AI technologies and tools to inform solution design and delivery strategies. 

• Participate and lead meetings when needed as it relates to updates on product build or implementation activities 

Education and Experience: 

• Bachelor's degree in business, Computer Science, Engineering, or related field. 

• Proficient in Python and key AI/ML libraries (pandas, PyTorch, scikit‑learn, MLflow) and LLM frameworks (LangChain, embeddings, vector DBs). 

• Foundational understanding of LLMs, RAG architecture, and prompt engineering (zero‑shot, few‑shot, chain‑of‑thought). 

• Hands‑on co