Senior Technical Analyst, Agentic AI

Johnson & Johnson

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Raritan, NJ
Salary
$94,000–$151,800 / yr
Posted
17 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $196k
This role $123k
$76k most similar roles pay here $259k

This role pays less than 89% of similar roles. Most pay $151,000–$241,750 — the shaded band above. At the midpoint, this role pays about $123k versus about $196k for comparable roles.

Based on 239 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 46 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 42 roles with salary data.

Most-posted roles

View all roles at Johnson & Johnson

At a glance

TL;DR · Senior Technical Analyst, Agentic AI

Sr. Technical Analyst, Agentic AI joins the MedTech R&D IT team to drive the design and delivery of autonomous document-generation and cognitive-search platforms. This role focuses on orchestrating large language models, retrieval-augmented generation pipelines, and multi-step reasoning agents to produce traceable, review-ready outputs for technical, regulatory, and compliance documents. The candidate will manage product backlogs, define acceptance criteria, and oversee the development of agentic workflows while ensuring high citation accuracy and safety guardrails. Key technologies include LangGraph, CrewAI, AutoGen, and various LLMs like GPT or Claude. Technical requirements involve experience with vector databases such as Pinecone or Weaviate, AWS services including Bedrock and SageMaker, and evaluation frameworks like RAGAS. The role addresses the challenge of automating complex enterprise content workflows within highly regulated environments to improve accuracy in information retrieval and document synthesis.

What you'll do

  • Manage the product roadmap and backlog for autonomous document-generation systems to produce technical, regulatory, and compliance documents.
  • Design and refine prompt templates, agent workflows, and orchestration logic to ensure high-quality, traceable outputs.
  • Oversee the development of cognitive-search platforms that interpret user intent and provide cited answers from source documents.
  • Translate complex business requirements into detailed user stories and technical specifications for engineering teams.
  • Monitor AI output quality by establishing feedback loops, guardrails, and metrics for hallucination detection and citation accuracy.
  • Ensure all agentic AI outputs comply with quality systems, validation protocols, and regulatory requirements.
  • Coordinate cross-functional dependencies and manage risk tracking across multiple agentic workstreams.
  • Drive the adoption of AI platforms by onboarding new use cases from business, clinical, and engineering stakeholders.

What we're looking for

  • Must have 5–8+ years of experience in product/business analysis within technology, Life Sciences, or regulated environments.
  • Must possess demonstrable expertise in designing, deploying, or managing multi-step autonomous agentic AI workflows.
  • Must have hands-on experience with LLMs, RAG pipelines, prompt engineering, and at least one agentic framework like LangGraph, CrewAI, or AutoGen.
  • Must have a strong understanding of semantic search, vector databases, and retrieval strategies.
  • Must be able to translate complex AI/ML capabilities into clear business requirements, user stories, and acceptance criteria.
  • Must have experience with AI evaluation and quality metrics such as hallucination rates and citation accuracy.
  • Preferred: Experience with document-generation solutions or intelligent document processing (IDP).
  • Preferred: Familiarity with PLM systems, AWS cloud services, or certifications in AI/ML.

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