Software Engineer

Lead Software Engineer - Cloud/AI EngineerPlano, TX, USAUp to $210,000/ yearFull Stack Python Developer Machine Learning Engineer Cloud Engineer Platform Engineer Data Engineer Product Engineer Artificial Intelligence Engineer DevOps Engineer Staff Engineer Python DeveloperWe 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 ResponsibilitiesLeverage 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 precisionValidate, critique, and iterate on AI-generated outputs rather than accepting them uncritically; apply sound engineering judgment to AI suggestionsContinuously evaluate emerging AI tools and techniques, driving adoption where they deliver measurable productivity and quality gainsDesign, build, and deploy enterprise-grade AI solutions including Retrieval-Augmented Generation (RAG) pipelines, agentic AI systems, and LLM-powered workflowsArchitect AI systems with production-level concerns: scalability, cost management, latency, data privacy, hallucination mitigation, and observabilityDesign, 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 othersApply strong systems thinking — understand how components connect end-to-end, where failures occur, and how changes propagate across distributed systemsIdentify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stabilityLead evaluation sessions with external vendors, startups, and internal teams to probe architectural designs, technical credentials, and applicability within existing systemsInfluence stakeholders and drive alignment across teams without direct authority, and own outcomes end-to-end — take accountability when things go well and when they don'tRequired Qualifications, Capabilities, and SkillsFormal training or certification in software engineering concepts and 5+ years of applied experienceDemonstrated fluency with AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor) — not just familiarity, but daily integrated useHands-on experience building AI/ML-powered features or products — RAG systems, AI agents, prompt engineering, or LLM integration in production or near-production environments3+ years of hands-on experience with AWS cloud servicesProficiency in Python programmingExperience with Django or another web backend frameworkExperience with React or another modern UI frameworkStrong experience with Terraform and infrastructure-as-code principlesSolid understanding of system design, data structures, and algorithmsDemonstrated adaptability — ability to operate effectively in fast-changing, ambiguous environments and deliver at speedStrong problem-solving skills with a structured, evidence-based approach to decision-makingPreferred Qualifications, Capabilities, and SkillsExperience with AI orchestration frameworks (LangChain, LlamaIndex, CrewAI, Google ADK, or similar)Experience with vector databases (Pinecone, Weaviate, pgvector, Chroma, or similar) and embedding modelsUnderstanding of LLM evaluation, guardrails, and responsible AI practices (accuracy, cost, bias, data privacy)Exposure to Data Engineering tools and platforms, especially DatabricksFamiliarity with CI/CD pipelines and DevOps practicesKnowledge of other cloud platforms (Azure, GCP) is a plusChase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.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.Equal Opportunity Employer/Disability/VeteransOur Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.