Domain Intelligence Engineer — Document Management Platform (Vice President)

JPMorgan Chase & Co. • Wilmington, DE

11d • $171,000 - $260,000

About The Position

As a Vice President Domain Intelligence Engineer in Document Management Platform, you will lead day-to-day domain governance and develop intelligent tooling to scale how document management technologies are evaluated and guided. You will assess incoming technology requests, maintain the domain capability taxonomy, and identify gaps between demand and platform capabilities. You will partner with platform engineers and architecture stakeholders to improve decision quality, reuse, platform standards, capability definitions, and technology assessments.

You will design and maintain a governed knowledge base and build Retrieval-Augmented Generation (RAG) and agentic workflows that accelerate technology assessments with documented, traceable outputs. You will communicate recommendations clearly and support architecture forums using consistent, repeatable evaluation methods.

Within the first 90 days, you will align key platform initiatives to documented capabilities, complete initial assessments using the standard rubric, and publish an initial knowledge base for platform engineering users. Within six months, you will deliver an automated triage workflow that matches requests to capabilities and produces draft rubric-based recommendations. Within 12 months, you will establish the knowledge base as a trusted reference for domain decisions and keep the capability taxonomy current and defensible for architecture and information security stakeholders.

Requirements

• 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, such as OpenSearch or Pinecone, and large language model platforms, such as Amazon Bedrock or Azure OpenAI.
• Understanding of the applied artificial intelligence lifecycle, including prompt design, evaluation, and output governance for document processing use cases.
• Knowledge of enterprise content and document management concepts, such as capture, metadata management, lifecycle governance, retention, and search.
• Experience with cloud services used for document intelligence workflows, such as object storage, event streaming, and document extraction services.
• 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.

Nice To Haves

• Experience in regulated industries supporting content in legal, compliance, risk, or operations contexts.
• Experience using an enterprise technology governance intake and review platform.
• Familiarity with domain model structures (category, domain, capability) and technology lifecycle stages (invest, maintain, divest, decommission).
• Experience building agentic workflows or multi-agent systems using common orchestration frameworks, such as LangChain or LlamaIndex.
• Familiarity with graph databases, such as Amazon Neptune or Neo4j, for knowledge graph development and relationship querying.
• Experience with intelligent document processing capabilities such as optical character recognition, classification, and extraction validation.
• Relevant cloud or generative artificial intelligence certification.

Responsibilities

• Serve as the document management domain intelligence lead, owning technology preferences and decision guidance for the domain.
• Evaluate inbound vendor, open-source, and internally developed technology requests, map them 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, such as throughput, coverage, and taxonomy drift, and publish reporting for governance stakeholders.
• Create proofs of concept when needed to validate assessments and demonstrate whether requests align with existing services or require new capability investment.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior