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Applied AI ML Lead - LLM Suite Engineering

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 7 days ago

No clicks

**Applied AI ML Lead - LLM Suite Engineering** at JPMorganChase spearheads AI/ML and agentic capabilities, powering the LLM Suite platform. Lead the design and delivery of production-grade AI/ML and agentic solutions, integrating seamlessly with existing systems. Key responsibilities include architecture ownership, system design, software development, and ensuring operational stability. This role demands hands-on technical problem-solving and collaboration with talented engineering teams. Leverage cloud services (Azure, AWS), agentic frameworks, and Python/FastAPI for building microservices and APIs. Ideally suited for experienced professionals with a computer science background, a strong grasp of the software development lifecycle, and proficiency in CI/CD, resiliency, and security. Familiarity with generative AI services, large language models, and containerizationbonus. Thrive in an innovative environment that values craft, security, and learning.

Compensation
Not specified GBP

Currency: £ (GBP)

City
London
Country
United Kingdom

Full Job Description

Location: LONDON, LONDON, United Kingdom

Build whats next in applied AI at JPMorganChase - where your work shapes how teams use intelligent systems at scale. Youll lead hands-on engineering for agentic and GenAI capabilities that power the LLM Suite platform. This role offers a mix of deep technical problem-solving, architecture ownership, and collaboration with talented builders. If you enjoy turning ambiguity into reliable production systems, youll thrive here. Join a team that values craft, security, and learning.


As an Applied AI ML Lead in LLM Suite Engineering, you will design and deliver production-grade AI/ML and agentic solutions that integrate seamlessly with existing systems. You will own technical direction across architecture, implementation, and operational stability, with a strong focus on secure, high-quality software. You will partner with peers across engineering to identify patterns and improve standards, reliability, and scalability. You will help evolve the platform using modern public cloud services and agentic frameworks. You will contribute to a collaborative culture through communities of practice and emerging-technology events. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities.
 

Job Responsibilities

  • Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges
  • Write secure, high-quality production code and maintain algorithms that integrate with existing systems
  • Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery
  • Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks
  • Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock
  • Identify hidden problems and patterns in data proactively to improve coding standards and system architecture
  • Participate in software engineering communities of practice and events focused on emerging technologies
  • Required Qualifications, Capabilities, and Skills

  • Computer science degree or equivalent practical experience
  • Hands-on experience with system design, application development, testing, and operational stability
  • Proficiency in Python (FastAPI)
  • Experience building microservices and APIs
  • Experience with elastic compute, NoSQL databases, and messaging queues
  • Strong understanding of the Software Development Life Cycle
  • Solid grasp of CI/CD, application resiliency, and security
  • Preferred Qualifications, Capabilities, and Skills

  • Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock
  • Proficiency working with large language models and building agents with LangGraph
  • Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages
  • Experience with containerization
  • Knowledge of agent-to-agent (A2A) communication concepts
  • Familiarity with Model Context Protocol (MCP)
  • Experience with agentic orchestrators, personal AI assistants, or AI skills development
  • Lead applied AI and engineering to build secure, scalable agentic solutions within our LLM suite.

    Applied AI ML Lead - LLM Suite Engineering

    Compensation

    Not specified GBP

    City: London

    Country: United Kingdom

    J.P. Morgan logo
    Bulge Bracket Investment Banks

    7 days ago

    No clicks

    at J.P. Morgan

    ExperiencedNo visa sponsorship

    **Applied AI ML Lead - LLM Suite Engineering** at JPMorganChase spearheads AI/ML and agentic capabilities, powering the LLM Suite platform. Lead the design and delivery of production-grade AI/ML and agentic solutions, integrating seamlessly with existing systems. Key responsibilities include architecture ownership, system design, software development, and ensuring operational stability. This role demands hands-on technical problem-solving and collaboration with talented engineering teams. Leverage cloud services (Azure, AWS), agentic frameworks, and Python/FastAPI for building microservices and APIs. Ideally suited for experienced professionals with a computer science background, a strong grasp of the software development lifecycle, and proficiency in CI/CD, resiliency, and security. Familiarity with generative AI services, large language models, and containerizationbonus. Thrive in an innovative environment that values craft, security, and learning.

    Full Job Description

    Location: LONDON, LONDON, United Kingdom

    Build whats next in applied AI at JPMorganChase - where your work shapes how teams use intelligent systems at scale. Youll lead hands-on engineering for agentic and GenAI capabilities that power the LLM Suite platform. This role offers a mix of deep technical problem-solving, architecture ownership, and collaboration with talented builders. If you enjoy turning ambiguity into reliable production systems, youll thrive here. Join a team that values craft, security, and learning.


    As an Applied AI ML Lead in LLM Suite Engineering, you will design and deliver production-grade AI/ML and agentic solutions that integrate seamlessly with existing systems. You will own technical direction across architecture, implementation, and operational stability, with a strong focus on secure, high-quality software. You will partner with peers across engineering to identify patterns and improve standards, reliability, and scalability. You will help evolve the platform using modern public cloud services and agentic frameworks. You will contribute to a collaborative culture through communities of practice and emerging-technology events. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities.
     

    Job Responsibilities

  • Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges
  • Write secure, high-quality production code and maintain algorithms that integrate with existing systems
  • Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery
  • Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks
  • Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock
  • Identify hidden problems and patterns in data proactively to improve coding standards and system architecture
  • Participate in software engineering communities of practice and events focused on emerging technologies
  • Required Qualifications, Capabilities, and Skills

  • Computer science degree or equivalent practical experience
  • Hands-on experience with system design, application development, testing, and operational stability
  • Proficiency in Python (FastAPI)
  • Experience building microservices and APIs
  • Experience with elastic compute, NoSQL databases, and messaging queues
  • Strong understanding of the Software Development Life Cycle
  • Solid grasp of CI/CD, application resiliency, and security
  • Preferred Qualifications, Capabilities, and Skills

  • Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock
  • Proficiency working with large language models and building agents with LangGraph
  • Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages
  • Experience with containerization
  • Knowledge of agent-to-agent (A2A) communication concepts
  • Familiarity with Model Context Protocol (MCP)
  • Experience with agentic orchestrators, personal AI assistants, or AI skills development
  • Lead applied AI and engineering to build secure, scalable agentic solutions within our LLM suite.