Sr. Technical Analyst, Agentic AI

Johnson & Johnson Innovative MedicineRaritan, NJ
$94,000 - $151,800Hybrid

About The Position

We are searching for the best talent for a Sr. Technical Analyst, Agentic AI to be located in Raritan, NJ. MedTech R&D IT – Data and AI, Lead Analyst – Agentic AI (Document Generation & Cognitive Search). Position Summary: We are seeking a Product Lead Analyst with deep expertise in agentic AI systems to drive the design, delivery, and continuous improvement of autonomous document-generation and cognitive-search platforms. This role operates at the intersection of product analysis, AI/ML solution delivery, and enterprise content workflows. The ideal candidate is an agentic AI expert who understands how to orchestrate large language models, retrieval-augmented generation pipelines, and multi-step reasoning agents to produce consistent, traceable, review-ready outputs at scale.

Requirements

  • 5–8+ years in product/business analysis within technology, Life Sciences, or regulated environments
  • Demonstrable expertise in agentic AI systems – designing, deploying, or managing multi-step autonomous AI workflows
  • Hands-on experience with LLMs, RAG pipelines, prompt engineering, and at least one agentic framework (LangGraph, CrewAI, AutoGen, or equivalent)
  • Strong understanding of semantic search, vector databases, and retrieval strategies
  • Proven ability to translate complex AI/ML capabilities into clear business requirements, user stories, and acceptance criteria
  • Experience with AI evaluation and quality metrics (hallucination rate, citation accuracy, retrieval precision/recall)
  • Agentic AI & Orchestration: Multi-agent frameworks (LangGraph, CrewAI, AutoGen, or equivalent), tool-use patterns, chain-of-thought reasoning, planning/reflection loops, agent memory and state management
  • LLM & NLP: Large Language Models (GPT, Claude, open-source), prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), semantic chunking, embedding models
  • Search & Retrieval: Vector databases (Pinecone, Weaviate, OpenSearch), semantic search, hybrid search (BM25 + vector), re-ranking, knowledge graphs
  • Cloud & Infrastructure: AWS (Bedrock, S3, Lambda, Step Functions, SageMaker), or equivalent cloud AI services; API design and integration patterns
  • Document & Content Platforms: PLM systems (e.g., Windchill), document management, content extraction/parsing, regulatory submission workflows
  • Evaluation & Observability: LLM evaluation frameworks (RAGAS, DeepEval, or equivalent), tracing (LangSmith, Arize), hallucination detection, citation validation

Nice To Haves

  • Experience with document-generation or intelligent document processing (IDP) solutions
  • Familiarity with PLM systems, enterprise content management, or regulated document workflows
  • Background in AWS cloud services (Bedrock, SageMaker, Step Functions, Agentcore) or similar cloud AI platforms
  • Knowledge of responsible AI practices, model governance, and AI safety frameworks
  • Certification or training in AI/ML (AWS ML Specialty, Stanford AI courses, or equivalent)

Responsibilities

  • Own the product backlog and roadmap for agentic document-generation solutions that autonomously draft technical, regulatory, and compliance documents from source evidence.
  • Design and refine reusable prompt templates, agent workflows, and orchestration logic that drive source-document ingestion, multi-step reasoning, and output composition with full section-level traceability.
  • Define acceptance criteria ensuring generated drafts are consistent, citation-accurate, and traceable to source documents for human expert review and approval.
  • Collaborate with domain stakeholders to onboard new document-generation use cases, validate output quality, and expand platform coverage.
  • Own the product backlog for agentic cognitive-search platforms that go beyond keyword lookup – interpreting intent, reasoning across documents, and synthesizing cited answers.
  • Define and validate natural-language query experiences where every statement in the synthesized answer is cited to its source document.
  • Manage requirements for modular search capabilities including evidence retrieval, lifecycle intelligence, and domain-specific search agents.
  • Ensure role-based access governance so synthesized answers respect the permissions held on underlying source documents.
  • Drive end-to-end delivery of agentic AI features including sprint planning, release readiness, and go/no-go criteria.
  • Translate business requirements into user stories, detailed specifications, and acceptance criteria for engineering teams building agent pipelines.
  • Coordinate cross-team dependencies, conduct change-impact analysis, and manage risk/milestone tracking across multiple agentic workstreams.
  • Monitor output quality of AI-generated content and search answers; define feedback loops, guardrails, and continuous-improvement metrics.
  • Support incident and problem management for agent orchestration, LLM performance, retrieval accuracy, and hallucination detection.
  • Contribute to observability improvements including citation-accuracy scoring, traceability audits, prompt-performance benchmarking, and agent-step telemetry.
  • Ensure agentic AI outputs adhere to applicable quality-system, validation, and regulatory requirements.
  • Maintain audit-ready traceability artifacts demonstrating every generated section is linked to its source evidence.
  • Support responsible-AI practices including bias monitoring, content safety, and ethical use of generative models.
  • Collaborate with business, regulatory, clinical, quality, and engineering teams to expand agentic platform adoption.
  • Drive onboarding of new document-generation and cognitive-search use cases across business units.

Benefits

  • medical
  • dental
  • vision
  • life insurance
  • short- and long-term disability
  • business accident insurance
  • group legal insurance
  • consolidated retirement plan (pension)
  • savings plan (401(k))
  • Vacation –120 hours per calendar year
  • Sick time - 40 hours per calendar year (56 hours for Washington State residents)
  • Holiday pay, including Floating Holidays –13 days per calendar year
  • Work, Personal and Family Time - up to 40 hours per calendar year
  • Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
  • Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
  • Caregiver Leave – 10 days
  • Volunteer Leave – 4 days
  • Military Spouse Time-Off – 80 hours
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