AI/ML Senior Lead Software Engineer - Agentic Pricing

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Commercial and Investment bank Digital & Platform Services, Data Analytics , you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities



* Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors


* Design and ship production agents on NEO across the federated portfolio, owning them from prototype through production.


* Build retrieval that holds up in production: Graph RAG combining knowledge-graph traversal with vector search, plus chunking, ranking, and grounding strategies that keep answers accurate and auditable.


* Design agent memory: episodic and semantic memory organized as memory nodes, with recall, summarization, and decay policies tuned per use case.


* Own organizational context management - assembling entitlement-, lineage-, and tenant-aware context so each agent reasons over only what it's allowed to see.


* Compose multi-agent workflows using A2A, and integrate tools and data through MCP servers (Bitbucket, Confluence, Databricks, Kubernetes, Snowflake, Splunk).


* Build and run evals: task-level and end-to-end agent evaluations, regression suites, LLM-as-judge, and quality safety gating before release.


* Deploy and operate solutions on public cloud (AWS and, or Azure) with strong SDLC, security, resiliency, and observability practices.


* Partner with product and business partners across CIB and Payments to turn use cases into shipped, supported agents.


* Serves as a function-wide subject matter expert in one or more areas of focus


* Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

Required qualifications, capabilities, and skills



* Formal training or certification on software engineering concepts and 5+ years applied experience with at least 4 years working on AI/ML solutions.


* Hands-on practical experience delivering system design, application development, testing, and operational stability


* Advanced in one or more programming language(s) - Strong programming skills in Python, with deep knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics.


* Hands-on experience building LLM-powered or agentic applications in production, including tracing, evaluations, and guardrails.


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