Senior AI Engineer: Autonomous Multi-Agent Systems

Testing Site - JPMC; Greater London; On-site; GBP 110,000 - 140,000; Full time

Job summary

Testing Site - JPMC is seeking an AI Engineer to design, build, and deploy autonomous and assistive AI agents that optimize complex workflows and operations in a financial services context.

You will collaborate with cross-functional teams to translate operational needs into robust multi-agent systems, leveraging advanced frameworks and technologies. The role emphasizes scalable, safe AI solutions, performance evaluation, and business impact.

Qualifications

• Advanced degree in Computer Science, Data Science, ML or related field.
• Experience building and deploying agentic AI applications in production environments.
• Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn.
• Proficiency in Python; writing tests and evaluation harnesses for agents and prompts.
• Hands-on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph.
• Knowledge of generative models including transformers, GANs, VAEs, and diffusion models.
• Understanding of data preprocessing, feature engineering, and model/agent evaluation methods.
• Familiarity with cloud platforms and containerization technologies.
• Strong problem-solving skills and ability to work independently and collaboratively.
• Effective communication for technical and non-technical audiences.

Responsibilities

• Architect, develop, and productionize autonomous and assistive AI agents to enhance operations.
• Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration.
• Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases.
• Build and integrate agent tools and APIs to connect with external services and internal systems.
• Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations.
• Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing and metrics.
• Partner with stakeholders to define requirements and deliver measurable business impact.
• Analyze data to inform agent capabilities, optimize retrieval, and conduct A/B tests and evaluations.
• Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices.

Skills

Python programming

ML frameworks

LangChain/CrewAI

API design

Prompt engineering

Testing & evaluation

Communication

Education

Advanced degree in Computer Science or related field

Tools

LangChain

CrewAI

AutoGen

LangGraph

Job description

Testing Site - JPMC is seeking an AI Engineer to design, build, and deploy autonomous and assistive AI agents that optimize complex workflows and operations in a financial services context.

You will collaborate with cross-functional teams to translate operational needs into robust multi-agent systems, leveraging advanced frameworks and technologies. The role emphasizes scalable, safe AI solutions, performance evaluation, and business impact.