Lead Software Engineer - Cloud AI Engineer

JPMorgan Chase & Co.; Plano (TX); On-site; USD 61,000 - 101,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer for our Corporate Sector Data Visualization & BI team, joining an agile group focused on delivering trusted, market-leading technology in a secure, scalable manner.

The role emphasizes an AI-forward mindset and a strong blend of software engineering with applied AI capability. Chase is a leading financial services firm serving nearly half of Americas households and small businesses.

Qualifications

• Formal training or certification in software engineering concepts, plus 5+ years of applied experience.
• Fluency with AI-assisted development tools such as GitHub Copilot, Claude Code, or Cursor, used daily.
• Hands-on experience building AI/ML-enabled features or products, including RAG systems, AI agents, prompt engineering, or LLM integration in production or near-production settings.
• 3+ years of practical experience with AWS cloud services.
• Strong Python programming skills.
• Experience with Django or another backend web framework.
• Experience with React or another modern UI framework.
• Strong experience with Terraform and infrastructure-as-code practices.
• Solid knowledge of system design, data structures, and algorithms.
• Proven adaptability in fast-moving, ambiguous environments with the ability to deliver quickly.
• Strong problem-solving ability with a structured, evidence-based approach to decision-making.
• Experience with AI orchestration frameworks such as LangChain, LlamaIndex, CrewAI, or Google ADK is preferred.
• Experience with vector databases and embedding models is preferred.
• Understanding of LLM evaluation, guardrails, and responsible AI practices is preferred.
• Exposure to data engineering tools and platforms, especially Databricks, is preferred.
• Familiarity with CI/CD pipelines and DevOps practices is preferred.
• Knowledge of other cloud platforms such as Azure or GCP is a plus.

Responsibilities

• Use AI-powered coding assistants in our daily development work to write, review, debug, and refactor code efficiently and accurately.
• Assess AI-generated outputs critically, refining them with sound engineering judgment instead of accepting them at face value.
• Continuously assess new AI tools and techniques, promoting adoption when they improve productivity or quality.
• Design, build, and deploy enterprise-grade AI solutions, including RAG pipelines, agentic systems, and LLM-driven workflows.
• Architect AI systems with production considerations such as scalability, cost control, latency, data privacy, hallucination reduction, and observability.
• Build and deploy agentic solutions with enterprise-grade identity, guardrails, tracing, and related controls.
• Develop secure, high-quality production code and review/debug code written by others.
• Apply strong systems thinking to understand end-to-end interactions, failure points, and ripple effects across distributed systems.
• Identify and automate fixes for recurring issues to strengthen operational stability.
• Lead evaluation sessions with external vendors, startups, and internal teams to assess architecture, technical credibility, and fit within our environment.
• Influence stakeholders, align teams without direct authority, and own outcomes from end to end.

Skills

Software engineering fundamentals

Python programming

Problem solving

Adaptability

Systems thinking

Tools

AWS

Django

React

Terraform

LangChain

LlamaIndex

Databricks

CI/CD

GitHub Copilot

Job description

Salary: $61,000 - 101,000 per year

• Formal training or certification in software engineering concepts, plus 5+ years of applied experience
• Demonstrated fluency with AI-assisted development tools such as GitHub Copilot, Claude Code, or Cursor, used daily as part of the workflow
• Hands-on experience building AI/ML-enabled features or products, including RAG systems, AI agents, prompt engineering, or LLM integration in production or near-production settings
• 3+ years of practical experience with AWS cloud services
• Strong Python programming skills
• Experience with Django or another backend web framework
• Experience with React or another modern UI framework
• Strong experience with Terraform and infrastructure-as-code practices
• Solid knowledge of system design, data structures, and algorithms
• Proven adaptability in fast-moving, ambiguous environments with the ability to deliver quickly
• Strong problem-solving ability with a structured, evidence-based approach to decision-making
• Experience with AI orchestration frameworks such as LangChain, LlamaIndex, CrewAI, or Google ADK is preferred
• Experience with vector databases and embedding models is preferred
• Understanding of LLM evaluation, guardrails, and responsible AI practices is preferred
• Exposure to data engineering tools and platforms, especially Databricks, is preferred
• Familiarity with CI/CD pipelines and DevOps practices is preferred
• Knowledge of other cloud platforms such as Azure or GCP is a plus

Responsibilities:

• Use AI-powered coding assistants in our daily development work to write, review, debug, and refactor code efficiently and accurately
• Assess AI-generated outputs critically, refining them with sound engineering judgment instead of accepting them at face value
• Continuously assess new AI tools and techniques, promoting adoption when they improve productivity or quality
• Design, build, and deploy enterprise-grade AI solutions, including RAG pipelines, agentic systems, and LLM-driven workflows
• Architect AI systems with production considerations such as scalability, cost control, latency, data privacy, hallucination reduction, and observability
• Build and deploy agentic solutions with enterprise-grade identity, guardrails, tracing, and related controls
• Develop secure, high-quality production code and review/debug code written by others
• Apply strong systems thinking to understand end-to-end interactions, failure points, and ripple effects across distributed systems
• Identify and automate fixes for recurring issues to strengthen operational stability
• Lead evaluation sessions with external vendors, startups, and internal teams to assess architecture, technical credibility, and fit within our environment
• Influence stakeholders, align teams without direct authority, and own outcomes from end to end

Technologies:

• AI
• AI Agents
• AWS
• Architect
• Azure
• Backend
• CI/CD
• Claude Code
• Cloud
• Copilot
• Cursor
• Databricks
• DevOps
• Django
• Embedding Models
• GCP
• GitHub
• Support
• LLM
• Python
• RAG
• React
• Terraform
• Web
• UX UI Design
• Agentic AI
• Machine Learning

More:

hackajob is partnering with J.P. Morgan to connect exceptional professionals with this opportunity. We are seeking a Lead Software Engineer for our Corporate Sector Data Visualization & BI team, where you will join an agile group focused on delivering trusted, market-leading technology in a secure, stable, and scalable way. This role calls for an AI-forward mindset and a strong blend of software engineering and applied AI capability. Chase is a leading financial services firm serving nearly half of Americas households and small businesses, with a mission to build lasting customer relationships and deliver financial solutions. We offer a competitive total rewards package, including base salary tied to role, experience, skill set, and location, as well as potential incentive compensation and a broad benefits offering that may include health care coverage, wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching. We value diversity and inclusion, and our Consumer & Community Banking division, along with the CCB Data & Analytics team, supports a wide range of financial services while leveraging data and technology to drive strong customer and business outcomes.

last updated 40 week of 2026