Lead AI Engineer for Sales Assistant Platform Technology - Lead Software Engineer

Posted 7 Hours Ago
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Jersey City, NJ, USA
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Lead development of a production-grade AI platform for federated agentic workflows and sales assistants. Design, prototype, and deploy multi-step LLM agents with orchestration, routing, memory, retrieval, evaluation, and observability capabilities. Evaluate emerging AI techniques, improve quality through feedback loops and error analysis, establish safe deployment standards, and partner with product, engineering, quant research, vendors, and startups. The role requires hands-on Python development, AWS experience, and expertise in LLM agents, RAG, tool use, prompting, and evaluations.
Summary Generated by Built In

 

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Lead Software Engineer at JPMorganChase within the Sales Assistant Technology 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. 

You'll be part of the team to drive, own and build key components of Markets Sales AI Platform to on-board agentic workflows into our system in a federated way, turning frontier GenAI capabilities into reliable, high-leverage agentic systems that transform how we respond to inbound client requests. This is a hands-on role for someone who thrives on ambiguity, ships quickly, and is energized by hard technical challenges.

Job responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
  • Drive/Build/Own agentic platform with UI, orchestration, routing, memory, training ground and evaluations frameworks end-to-end: design, prototype, and productionize multi-step LLM agents that retrieve context and generate accurate, well-structured responses
  • Drive applied AI by evaluating emerging techniques (tool use, planning, retrieval, evaluation frameworks, fine-tuning, prompt optimization) and integrating the best into production
  • Improve quality systematically via evals, error analysis, and feedback loops that convert subjective issues into measurable fixes
  • Partner cross-functionally with quant research,  product, and engineering to understand their agents and provide solutions on-board on to our platform in a federated way.
  • Build and maintain production-grade code and systems that are observable, robust, and scalable
  • Contribute to technical direction and standards for agent design, evaluation, and safe deployment
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

     

    Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience

  • Degree in Computer Science, Data Science, Machine Learning or related field or related experience
  • Strong coding skills (Python) and comfort owning production code
  • Hands-on experience in AWS, ECS, Bedrock.
  • Agentic development tool kit example Google ADK must have
  • Familiarity with evaluation frameworks, LLM observability, or fine-tuning open-weight models
  • Hands-on experience building with LLMs (agent frameworks, tool use, RAG, prompt engineering, evals)
  • Strong understanding of modern GenAI capabilities, failure modes, and practical mitigation strategies
  • Strong ownership and drive mindset with a focus on improving what’s broken with clear design principles
  • Experience working in a fast pace environment

Preferred qualifications, capabilities, and skills

  • OpenSearch, Vector dbs and Postgres nice to have
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 TeamJ.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

Skills Required

  • Formal training or certification in software engineering concepts
  • 5+ years of applied software engineering experience
  • Degree in Computer Science, Data Science, Machine Learning, or a related field, or related experience
  • Strong Python coding skills and experience owning production code
  • Hands-on experience with AWS, ECS, and Bedrock
  • Experience with an agentic development toolkit, such as Google ADK
  • Familiarity with evaluation frameworks, LLM observability, or fine-tuning open-weight models
  • Hands-on experience building with LLMs, including agent frameworks, tool use, RAG, prompt engineering, and evaluations
  • Strong understanding of modern Generative AI capabilities, failure modes, and mitigation strategies
  • Strong ownership and drive mindset focused on improving systems through clear design principles
  • Experience working in a fast-paced environment
  • Experience with OpenSearch, vector databases, and PostgreSQL

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
  • Parental & Family Support Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
  • Retirement Support Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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