Lead Software Engineer - AI Engineer
No salary listed
Senior
Plano, TX, USA
In Person
Software EngineeringAI Application Engineering, Backend Engineering
About the job
Requirements
- Formal training or certification in Software Engineering and 5+ years of applied experience.
- Strong system design, application development, and operational stability skills in production environments.
- Hands-on experience using enterprise-authorized AI-assisted software development tools for coding, test creation, troubleshooting, or documentation, with the ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
- Ability to influence product design, application functionality, and technical operations within the team and domain by proposing pragmatic architectures, tradeoffs, and standards aligned to firm SDLC, security, and controls expectations.
- Hands-on experience with large language models and generative AI use cases, such as retrieval-augmented generation, agents, prompt/tool orchestration, evaluation, and guardrails.
- Familiarity with AI/ML frameworks and ecosystems such as PyTorch, TensorFlow, scikit-learn, and Hugging Face.
- Experience with distributed systems and at least one major cloud platform: AWS, GCP, or Azure.
- Expertise in microservices, RESTful APIs, and relational and/or NoSQL data technologies.
- Demonstrated experience leading effective use of approved AI-assisted software development tools for coding, code review, test acceleration, or troubleshooting, with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Practical experience building cloud-native systems, including event-driven architectures, streaming, or service mesh.
Responsibilities
- Design and develop full-stack software solutions using innovative approaches.
- Lead the creation and implementation of AI-driven capabilities, including LLM-based services, orchestration, and integrations into business workflows.
- Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, establishing validation standards such as secure coding, peer review, and automated testing, and promoting effective patterns across the team.
- Use enterprise-authorized AI coding-assist tools to improve code quality, delivery speed, and productivity across complex deliverables, validating outputs through peer review, automated testing, and secure coding standards; contribute learnings and reusable patterns to improve broader team effectiveness.
- Apply knowledge of the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Architect and deliver cloud-native microservices and APIs, including REST and streaming, ensuring scalability, resilience, and strong security controls.
- Identify and automate solutions for recurring operational issues to improve system stability and observability through logs, metrics, and tracing.
- Communicate project status and manage priorities across multiple initiatives.
- Collaborate within a Scrum team, participate in Agile ceremonies, and support a culture of diversity, opportunity, and inclusion.
- Code using Java, AWS ECS, EKS, and Postgres.
- Use AI agents, including CoPilot and Claude, to improve quality and delivery timelines.
Desired Qualifications
- Cloud certification in AWS, GCP, or Azure.
- Working knowledge of Python for AI/ML integrations.
- Experience with multi-region service deployments and zero-downtime deployment.
- Familiarity with Docker, Kubernetes, Helm, and modern CI/CD practices.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations and secure handling of inputs and outputs.
- Track record of delivering scalable, reliable, and secure products from concept to launch.
- Advanced Java proficiency and working knowledge of Python for AI/ML integrations.
About the company
JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.
Company Size
10,001+
Company Stage
IPO
Headquarters
New York City, New York
Founded
1799
Get referred to JP Morgan Chase
See people who can refer or advise you
Simplify's Take
What believers are saying
- Growth is broad-based: every JPMorgan division posted record revenue in the June 2026 quarter, and trading jumped 35%.
- Stock grants gained value: shares rose 21% in three months, valuing JPMorgan at $965 billion in August 2026.
- Tech teams are well funded: JPMorgan's nearly $20 billion yearly tech budget is the largest in banking.
What critics are saying
- AI is shrinking some teams: Dimon said in July 2026 that AI cut up to 40% of certain roles.
- Plan on five office days a week: JPMorgan ended hybrid schedules for all staff in early 2025.
- It is fighting the president in court: Trump sued JPMorgan for $5 billion in January 2026 over his closed accounts.
What makes JP Morgan Chase unique
- It ranks first in investment banking: JPMorgan earned 9.3% of global deal fees in the first half of 2026.
- It trains future CEOs: 10 Fortune 500 chiefs were JPMorgan alumni in September 2025, fifth-most of any employer.
- Its payments arm is a hidden giant: JPMorgan says it processes $12 trillion a day across 160-plus countries.
Help us improve and share your feedback! Did you find this helpful?
Benefits
- Health Insurance
- Flexible Work Hours
- Paid Sick Leave
- Paid Holidays