AI Engineer - Sr Lead Software Engineer

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 AI/ML Data

Platforms team, you will be a key member of an agile team responsible for

enhancing, building, and delivering trusted, market-leading technology products

in a secure, stable, and scalable manner. You will drive meaningful business

impact through hands-on engineering leadership, applying deep technical

expertise and structured problem-solving to address complex challenges across

multiple technologies and applications.

In this role, you will

• help design and
• deliver agentic AI platforms and large language model (LLM)-enabled services for
• enterprise use cases. You will contribute to architecture and engineering
• decisions, build cloud-native services on AWS, and improve system quality
• through strong evaluation, observability, and operational excellence practices.
• You will also raise engineering standards through high-quality code reviews,
• clear documentation, and effective collaboration across teams.
• Job responsibilities
• * Provide technical guidance and direction to business and engineering teams by
• partnering with external teams to align on priorities, unblock delivery, and
• drive successful engineering outcomes.
• * Develop secure, high-quality production code and lead code reviews; review,
• debug, and improve code written by others to raise overall engineering
• quality.
• * Drive architecture and design decisions that influence product design,
• application functionality, and technical operations (including SDLC
• practices).
• * Serve as a subject matter expert in one or more focus areas, helping teams
• make sound technical trade-offs and resolve complex problems.
• * Evaluate and introduce leading-edge technologies where appropriate,
• influencing peers and decision-makers with clear rationale and risk/benefit
• analysis.
• * Build and operate production-grade LLM applications, including agentic
• patterns and tool integrations for enterprise use cases.
• * Design and deliver cloud-native services on AWS using containers and
• serverless architectures, with strong attention to scalability and
• operational resilience.
• * Implement retrieval-augmented generation (RAG) solutions, including
• embeddings, semantic search, and practical context engineering to improve
• answer quality and control.
• * Build reliable service APIs and integrations with a focus on security,
• performance, and maintainability.
• * Drives adoption and governance of approved AI-assisted engineering practices
• across teams to improve code quality, delivery speed, and operational
• outcomes (e.g., AI-assisted code review/refactoring, test acceleration,
• release readiness, incident/root-cause analysis), while establishing
• measurable validation standards (secure coding, peer review, automated
• testing) and promoting reuse of proven patterns and automation within the
• SDLC/TLM toolchain.
• * Applies knowledge of tools within the Software Development Life Cycle
• toolchain, including approved AI-assisted development and automation
• capabilities, to improve the value realized by automation at scale.
• Required Qualifications, Capabilities, and Skills:
• * Formal training or certification on software engineering concepts and 5+
• years applied experience
• * Strong Python engineering skills; experience with PyTorch or TensorFlow
• * Expertise working with Vector storage systems and designing memory for
• Agents
• * Expertise developing long running agents that run autonomously using tools,
• skills and human in the loop
• * Proven experience deploying LLM-backed services to production (APIs,
• microservices)
• * Deep MLOps experience, including CI/CD, monitoring, incident response, and
• model governance
• * Cloud-native AI deployment experience (AWS or Azure), with cost and
• performance optimization
• * Demonstrated commitment to responsible AI practices and operational
• excellence
• * Strong communication and collaboration skills, working across product, risk,
• legal, and compliance teams
• * Demonstrated experience designing and leading adoption of agentic AI-enabled
• development practices (using enterprise-authorized tools within the work
• environment) across teams, including setting standards for human-in-the-loop
• validation, auditability/traceability of changes, and secure handling of
• sensitive data.
• * Strong understanding of responsible AI use and control expectations in
• engineering workflows, including security/resiliency implications, data
• sensitivity, and risk-based governance; ability to influence senior technical
• leaders on safe scaling patterns and reuse.
• Preferred Qualifications, Capabilities, and Skills:
• * Experience with fine-tuning, adapters, or custom evaluation frameworks.
• * Background operating AI systems in regulated environments (finance,
• healthcare, etc.).
• * Experience with prompt engineering and LLM orchestration.
• * Knowledge of safety filters, audit logging, and explainability in production
• systems.
• * Experience mentoring senior engineers and leading architecture discussions.
• * Demonstrated ability to influence technical roadmaps and priorities.
• 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
• [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about
• requesting an accommodation.
• JPMorgan Chase & Co. is an Equal Opportunity Employer, including
• Disability/Veterans
• Our professionals in our Corporate Functions cover a diverse range of areas from
• finance and risk to human resources and marketing. Our corporate teams are an
• essential part of our company, ensuring that we’re setting our businesses,
• clients, customers and employees up for success.