AI/ML Senior Lead Software Engineer - Agentic Pricing
JPMorgan Chase1 day ago
Base Salary
$176k - $260k/yr
Responsibilities
- Provide technical guidance and direction to business teams, technical teams, contractors, and vendors.
- Design, ship, and own production agents on NEO from prototype through production.
- Build production-grade Graph RAG retrieval using knowledge-graph traversal, vector search, chunking, ranking, and grounding strategies.
- Design episodic and semantic agent memory with recall, summarization, and decay policies.
- Manage entitlement-, lineage-, and tenant-aware organizational context for agent reasoning.
- Compose multi-agent workflows using A2A and integrate tools and data through MCP servers.
- Build task-level and end-to-end evaluations, regression suites, LLM-as-judge workflows, and quality and safety gates.
- Deploy and operate solutions on AWS and/or Azure with secure, resilient, observable SDLC practices.
- Partner with product and business stakeholders across CIB and Payments to deliver supported agents.
- Serve as a function-wide subject matter expert and advocate for firmwide engineering frameworks, tools, and practices.
Requirements
- Formal software engineering training or certification and at least 5 years of applied experience, including at least 4 years working on AI/ML solutions.
- Hands-on experience with system design, application development, testing, and operational stability.
- Advanced programming ability, especially in Python, with knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics.
- Production experience building LLM-powered or agentic applications, including tracing, evaluations, and guardrails.
- Deep proficiency with Kubernetes and Amazon EKS, micro-VM isolation, sidecar architectures, network and mTLS security, workload identity, fine-grained authorization, runtime isolation, and application-level guardrails.
- Practical RAG experience with retrieval quality, embeddings, and vector stores, plus expertise in AWS, Azure, or Kubernetes.
- Knowledge of data management and data model design, including real-time processing with SQL and NoSQL stores such as Postgres, OpenSearch, and Redis.
- Strong communication and stakeholder-partnership skills, proficiency across the Software Development Life Cycle, and understanding of application resiliency and security practices.
- In-depth knowledge of financial-services industry technology systems.
- Preferred: MS in Computer Science, Statistics, Mathematics, Machine Learning, or a related field, or equivalent experience.
- Preferred: experience with agent frameworks or runtimes, A2A, MCP, agent memory, organizational context management, knowledge graphs, graph databases, and Graph RAG.
- Preferred: understanding of LLM fine-tuning and small language model inference.
- Preferred: ability to build full-stack agent products with modern JavaScript/TypeScript frameworks such as Next.js and Svelte.
- Preferred: financial or payments experience at a large institution and knowledge of Go or Rust.
Benefits
- Competitive total rewards package with base salary determined by role, experience, skills, and location; eligible roles may also receive commission or discretionary incentive compensation.
- Benefits may include comprehensive health care, on-site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Reasonable accommodations are available for religious practices, mental health needs, and physical disabilities.
Tech Stack
AWSAzureDatabricksGoJavaScriptKubernetesNext.jsPostgreSQLPythonRedisRustSnowflakeSplunkSQLSvelteTypeScript
Categories
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.