Lead Software Engineer - MLIO Virtual Conversation assist

JPMorgan Chase & Co.•Columbus, OH

20h

About The Position

We’re looking for a tech leader ready to take their career to new heights. Join the ranks of top talent at one of the world’s most influential companies. As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking Machine Learning Intelligence Operations, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. 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.

Requirements

Formal training or certification on software engineering concepts and 5+ years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced in one or more programming language(s) (Java, Python)
Practical AWS cloud native experience
Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., AI/ML, UI development, mobile development etc.)
Ability to tackle design and functionality problems independently with little to no oversight
Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Nice To Haves

Hands on experience with GenAI and AI Agents
Proficient and hands On with Terraform for Infrastructure Deployment and knowledge of EAC is a plus
Proficient and hands on with AWS Container Orchestration Services like ECS and EKS.
Experience with ML Engineering
Extensive experience with Amazon Web Services (AWS), including deploying, managing, and scaling applications using services such as EC2, S3, Lambda, and RDS
Proficiency in AWS security best practices and cost optimization strategies

Responsibilities

Collaborate with cross-functional teams, integrating partners, and key stakeholders to align on requirements, resolve dependencies, and ensure successful end-to-end project rollout
Experienced and skilled in using Terraform for infrastructure deployment; familiarity with EAC is an added advantage
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
Develops secure and high-quality production code, and reviews and debugs code written by others
Drives decisions that influence the product design, application functionality, and technical operations and processes
Hands-on experience with any Large Language Models, including making API calls, handling streaming responses (SSE/WebSocket), and managing end-to-end request lifecycle
General understanding of LLM performance considerations, including response latency, token usage and cost implications, and approaches to evaluating model output quality
Proficiency in prompt engineering techniques, including context window management, token budgeting, and applying foundational LLM use cases
Leverage Amazon Bedrock for model invocation and work alongside supporting AWS services
Familiarity with Agentic AI concepts
Actively contributes to the engineering community as an advocate of firm-wide frameworks, tools, and practices of the Software Development Life Cycle
Influences peers and project decision-makers to consider the use and application of leading-edge technologies
Adds to the team culture of diversity, opportunity, inclusion, and respect

Benefits

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.

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