Director, Autonomous AI & Multi-Agent Systems

Testing Site - JPMC

Greater London

On-site

GBP 120,000 - 190,000

Full time

14 days+

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Job summary

Testing Site - JPMC is seeking a Director of AI/ML to set the vision and lead the enterprise portfolio for agentic AI, automating complex workflows at scale. You will guide cross-functional teams and partners to define reference architectures and roadmaps for multi-agent systems using modern frameworks, with governance, safety, and measurable business outcomes.

You will oversee design and deployment of autonomous agents, RAG pipelines, and cloud-based AI services, while mentoring teams and

Qualifications

  • MSc/PhD in Computer Science, Data Science, Machine Learning, or related field.
  • Significant proven experience building and deploying AI applications in large scale production environments.
  • Experience managing data science teams and coaching team members.

Responsibilities

  • Architect, develop, and productionize autonomous and assistive AI agents to streamline and enhance operations.
  • Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using LangChain, CrewAI, AutoGen, ADK and LangGraph.
  • Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search using vector databases such as Pinecone and Chroma, including indexing, retrieval policies, and evaluation.
  • Build and integrate agent tools (MCP) and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing, error handling, and retries.
  • Design and implement robust evaluation frameworks to systematically assess and measure the performance of AI agents across key operational metrics.
  • Practice advanced prompt and context engineering (e.g., Chain-of-Thought, ReAct, function calling/tool-use prompts), implement output validation and guardrails to reduce hallucinations.
  • Deploy scalable AI services to cloud infrastructure, ensuring monitoring, and observability for agent performance.
  • Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops to continuously improve reliability and utility.
  • Partner with stakeholders to define requirements, design intuitive human-AI interfaces (voice, chat), and deliver measurable business impact.
  • Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; and performance evaluations.
  • Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices.

Skills

Python
ML frameworks
LangChain
CrewAI
AutoGen
LangGraph
ADK
Transformers
GANs/VAEs
Diffusion models
Communication
Cloud platforms
Docker
Kubernetes

Education

MSc/PhD in Computer Science, Data Science, Machine Learning, or related field

Tools

AWS
Azure
GCP

Job description

Testing Site - JPMC is seeking a Director of AI/ML to set the vision and lead the enterprise portfolio for agentic AI, automating complex workflows at scale. You will guide cross-functional teams and partners to define reference architectures and roadmaps for multi-agent systems using modern frameworks, with governance, safety, and measurable business outcomes.

You will oversee design and deployment of autonomous agents, RAG pipelines, and cloud-based AI services, while mentoring teams and

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