Are you ready to shape the future of AI-driven reliability engineering? At JPMorganChase, we're building intelligent systems that don't just monitor — they reason, analyze, and act. This is your opportunity to lead at the forefront of agentic AI, designing autonomous systems that transform how we deliver resilient, scalable technology at enterprise scale.
As a Senior Lead Software Engineer at JPMorganChase within the AI/ML Data Platforms organization, you will lead the architecture and development of production-grade agentic AI and multi-agent systems on the Reliability Engineering team. You will design autonomous agents that integrate across telemetry pipelines, application stacks, and cloud infrastructure — driving engineering productivity, system reliability, and operational excellence. This role offers the chance to pioneer how intelligent automation reshapes platform reliability for one of the world's leading financial institutions.
Job responsibilities
- Design and develop enterprise AI systems that enhance engineering productivity, system reliability, and operational excellence
- Architect autonomous agents — not just integrating workflows, but AI systems that reason, analyze, and act across system and application reliability
- Architect and govern agentic system components including orchestration, memory/state management, workflow control, and human-in-the-loop patterns where needed
- Own the agentic architecture non-functional requirements posture end-to-end: observability, security, guardrails, and evaluation
- Provision and manage scalable AI infrastructure, deployment pipelines, and cost optimization
- Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develop secure, high-quality production code, and review and debug code written by others
- Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Contribute to a team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Advanced proficiency in programming with Python
- Proficiency in all aspects of the Software Development Life Cycle and in automation and continuous delivery methods
- Hands-on experience delivering agentic AI to production (not just LLM wrappers or prompt-to-workflow integrations)
- Experience with AI agent frameworks (e.g., LangGraph, CrewAI), runtimes, orchestration, evaluation/benchmarking systems, and model selection policies
- Experience developing production generative AI applications at scale with experimentation, model quality measurement, retrieval-augmented generation, and vector search
- Strong cloud infrastructure experience (e.g., AWS) and infrastructure-as-code (e.g., Terraform)
- Experience building distributed systems or high-scale systems where reliability matters
Preferred qualifications, capabilities, and skills
- Previous experience working within infrastructure, platform engineering, or reliability engineering domains
- Knowledge of site reliability engineering concepts, including Service Level Objectives/Indicators, error budgets, incident management, resilience patterns, and observability
- Previous experience as a machine learning software engineer in a dynamic technology company or startup.
#CTC
About Us
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
Similar Jobs
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
