Lead Software Engineer - Cloud/AI Engineer

Socket.dev; Plano (TX); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Health coverage

Wellness centers

Retirement plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

More benefits

Job summary

JPMorganChase seeks a Lead Software Engineer in the Corporate Sector - Data Visualization & BI to join an agile team delivering trusted technology products in a secure, scalable manner. You will be a core technical contributor, applying an AI-forward mindset to build and refine solutions across multiple business functions.

The role emphasizes hands-on AI/ML-powered features, strong system design, and collaboration with vendors and teams to drive measurable productivity gains.

Qualifications

• Formal training or certification in software engineering concepts and 5+ years of applied experience.
• Demonstrated fluency with AI-assisted development tools and daily integrated use.
• Hands-on experience building AI/ML-powered features or products (RAG, AI agents, or LLMs).
• 3+ years of hands-on experience with AWS cloud services.

Responsibilities

• Leverage AI-powered coding assistants 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; 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 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 and guardrails
• Execute secure, high-quality production code and review code written by others
• Apply strong systems thinking — understand end-to-end connections and propagation
• Identify opportunities to automate remediation of recurring issues to improve stability
• Lead evaluation sessions with external vendors and internal teams to probe designs and applicability
• Influence stakeholders and drive alignment across teams without direct authority; own outcomes end-to-end

Skills

AI-assisted development

Python

AWS

Django

React

Terraform

LLM integration

System design

Problem solving

Tools

GitHub Copilot

Claude

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, and 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

Chase 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
• more

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/Veterans

Our 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.