JOB DESCRIPTION
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Corporate Sector - Data Visualization & BI team, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
This role requires a strong AI-forward mindset. We are looking for engineers who don't just use AI — they think with it, build with it, and know when not to use it.
Job Responsibilities
- Leverage AI-powered coding assistants (e.g., GitHub Copilot, Claude) as core tools in daily development workflows — writing, reviewing, debugging, and refactoring code with speed and precision
- Validate, critique, and iterate on AI-generated outputs rather than accepting them uncritically; apply sound engineering judgment to AI suggestions
- Continuously evaluate emerging AI tools and techniques, driving adoption where they deliver measurable productivity and quality gains
- Design, build, and deploy enterprise-grade AI solutions including Retrieval-Augmented Generation (RAG) pipelines, agentic AI systems, and LLM-powered workflows
- Architect AI systems with production-level concerns: scalability, cost management, latency, data privacy, hallucination mitigation, and observability
- Design, build, and deploy agentic solutions with enterprise grade identity, guardrails, tracing etc.
- Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches. Develop secure, high-quality production code and review and debug code written by others
- Apply strong systems thinking — understand how components connect end-to-end, where failures occur, and how changes propagate across distributed systems
- Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability
- Lead evaluation sessions with external vendors, startups, and internal teams to probe architectural designs, technical credentials, and applicability within existing systems
- Influence stakeholders and drive alignment across teams without direct authority
- Own outcomes end-to-end — take accountability when things go well and when they don't
Required Qualifications, Capabilities, and Skills
- Formal training or certification in software engineering concepts and 5+ years of applied experience
- Demonstrated fluency with AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor) — not just familiarity, but daily integrated use
- Hands-on experience building AI/ML-powered features or products — RAG systems, AI agents, prompt engineering, or LLM integration in production or near-production environments
- 3+ years of hands-on experience with AWS cloud services
- Proficiency in Python programming
- Experience with Django or another web backend framework
- Experience with React or another modern UI framework
- Strong experience with Terraform and infrastructure-as-code principles
- Solid understanding of system design, data structures, and algorithms
- Demonstrated adaptability — ability to operate effectively in fast-changing, ambiguous environments and deliver at speed
- Strong problem-solving skills with a structured, evidence-based approach to decision-making
Preferred Qualifications, Capabilities, and Skills
- Experience with AI orchestration frameworks (LangChain, LlamaIndex, CrewAI, Google ADK, or similar)
- Experience with vector databases (Pinecone, Weaviate, pgvector, Chroma, or similar) and embedding models
- Understanding of LLM evaluation, guardrails, and responsible AI practices (accuracy, cost, bias, data privacy)
- Exposure to Data Engineering tools and platforms, especially Databricks
- Familiarity with CI/CD pipelines and DevOps practices
- Knowledge of other cloud platforms (Azure, GCP) is a plus
ABOUT US
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
ABOUT THE TEAM
The Chief Technology Office oversees enabling components inclusive of the top quality engineering and architecture tools and practices, key program management and processes as well as the technology workforce strategy required to make us a leading technology company for our customers, clients and colleagues around the world.
High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.