Domain Intelligence Engineer - AI Governance Leader

JP Morgan Chase

Fairfax (DE)

On-site

USD 180,000 - 260,000

Full time

2 days ago

Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

JP Morgan Chase is seeking a Vice President Domain Intelligence Engineer in Document Management Platform to own day-to-day governance and to build scalable, intelligent tooling that assesses and guides document management technologies. You will evaluate requests, maintain taxonomy, and drive defensible recommendations with traceable outputs for architecture forums.

Within 12 months, you will establish the knowledge base as the trusted reference for domain decisions and keep the capability

Qualifications

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field.
Seven or more years of relevant experience in technology governance, architecture review, or platform engineering within a large enterprise environment.
Proficiency in Python and experience building production-quality automation, evaluation pipelines, or workflow services.
Experience designing and building knowledge bases and RAG solutions, including chunking strategies, embeddings, semantic retrieval, and grounded response generation.
Working knowledge of vector search and storage technologies (OpenSearch, Pinecone) and LL model platforms (Amazon Bedrock, Azure OpenAI).
Understanding of the AI lifecycle, including prompt design, evaluation, and output governance for document processing use cases.
Knowledge of enterprise content and document management concepts (capture, metadata, lifecycle governance, retention, search).
Experience with cloud services used for document intelligence workflows (object storage, event streaming, document extraction).
Ability to apply structured, rubric-based evaluation methods and explain recommendations in governance forums.
Ability to write clear capability descriptions, assessment reports, and decision documentation for architecture audiences.
Demonstrated ability to manage competing priorities and deliver high-quality outputs under time constraints.

Responsibilities

Serve as the document management domain intelligence lead, owning technology preferences and decision guidance for the domain.
Evaluate inbound technology requests, map requests to existing capabilities, and route items for further review when needed.
Maintain and improve the domain capability taxonomy, ensuring capabilities are current, clearly described, and consistently classified.
Identify capability gaps between platform offerings and engineering demand, and translate gaps into structured inputs for the platform roadmap.
Apply a rubric-based assessment method consistently, producing documented, defensible recommendations and decision records.
Design and maintain a governed, queryable knowledge base covering capability definitions, assessment history, decision records, and platform non‑functional requirements.
Implement RAG pipelines over authoritative documentation to deliver accurate, citation‑backed responses for engineers and stakeholders.
Develop agentic evaluation workflows that retrieve relevant capabilities and prior assessments, draft preliminary recommendations, and score requests against the rubric.
Build and maintain natural-language query experiences that help users understand capabilities, preferences, and outcomes with governed responses.
Instrument governance and assessment workflows with measurable metrics and publish reporting for governance stakeholders.
Create proofs of concept to validate assessments and demonstrate alignment to existing services or new capability investment.