Executive Director Principal Software Engineer - Agentic Engineering

Fairygodboss; Jersey City (NJ); On-site; USD 204,250 - 285,000; Full time

Benefits offered by this job

Comprehensive healthcare coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

JPMorgan Chase in Jersey City is seeking a Principal Software Engineer to lead the design and build of a multi-agent AI platform. The role requires extensive experience in software engineering, notably in Python and agentic frameworks. Responsibilities include architecting scalable systems and defining agentic platform strategies. Candidates should have a strong command of distributed systems and cloud fluency. The position offers competitive compensation and benefits, including comprehensive healthcare and retirement savings plans.

Qualifications

• 10+ years in software engineering with 5+ years leading teams.
• Expertise in Python; familiarity with TypeScript, Go, or Rust.
• Experience with agentic frameworks and distributed systems.

Responsibilities

• Own multi-year agentic platform strategy.
• Architect scalable multi-agent systems.
• Design distributed ingestion and workflow systems.

Skills

Expert Python

Working proficiency in TypeScript

Deep familiarity with agentic frameworks

Strong command of RAG patterns

Distributed systems experience

Cloud fluency (AWS/Azure/GCP)

Strong executive communication

Platform mindset

Tools

Kafka

Spark

Docker

Kubernetes

Job description

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place.

As the Principal Software Engineer at JPMorgan Chase within the Corporate and Investment Bank Technology - Securitized Product Group Technology team, you will lead the design, build, and scaling of our next-generation multi-agent AI platform. This is not a manage-from-a-distance role: you will write production code, own key architectural decisions, unblock engineers, and be accountable for production outcomes-while also setting multi-year strategy and building a high-performing team.

If you've built agentic systems in production (not prototypes), can distinguish orchestration vs. parallelization in real distributed environments, and can whiteboard with a CTO then land a PR the same afternoon-this role is for you

Job responsibilities

• Own the multi-year agentic platform strategy: agent toolchains, RAG pipelines, memory/state architectures, context management, evaluation, and feedback/reinforcement loops.
• Architect scalable multi-agent systems using LangChain, LangGraph, AutoGen, or equivalent frameworks-and define when to use simpler primitives.
• Design distributed ingestion and workflow systems (batch + streaming) with data contracts, lineage, and strong data-quality patterns.
• Establish standards for the agentic development lifecycle: context engineering, automated evals, observability, security, and release readiness.
• Contribute directly in Python (services, concurrency, performance, reliability) and set the bar via reference implementations.
• Lead design and code reviews; engage directly in incident response and production hardening.
• Build reusable agent components: planning/decomposition, tool/function calling, self-critique/reflection loops, state management, multi-agent coordination, and safety controls.
• Partner with MLOps/platform on deployment, monitoring, and retraining pipelines (MLflow, SageMaker, Vertex AI, Azure ML, etc.).

Required qualifications, capabilities, and skills

• 10+ years in software engineering, including 5+ years leading senior technical teams and driving architecture for large systems.
• Expert Python; working proficiency in TypeScript, Go, or Rust.
• Deep familiarity with agentic frameworks (LangChain, LangGraph, AutoGen, or equivalent).
• Strong command of RAG, prompt/context design, tool/function calling, and multi-step reasoning patterns.
• Distributed systems and data platform experience: Kafka, Spark, gRPC/REST, Docker/Kubernetes.
• Cloud fluency (AWS/Azure/GCP) and MLOps tooling (MLflow, Kubeflow, SageMaker, Vertex AI).
• Familiarity with vector databases, knowledge graphs, and semantic retrieval patterns.
• Strong executive communication-able to align stakeholders on trade-offs, timelines, and risk.
• Platform mindset: builds durable systems, not fragile demos.

Preferred qualifications, capabilities, and skills

• kdb+/q, ClickHouse, or other time-series/analytical data stores.
• Financial services domain (trading infrastructure, derivatives, fixed income).
• Publications, talks, or open-source contributions in agentic AI.
• Experience designing "agentic SDLC" / software-delivery automation.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Base Pay/Salary

Jersey City,NJ $204,250.00 - $285,000.00 / year