Senior Applied AI Engineer - Autonomous Agent Architect

JPMorgan Chase & Co.; Greater London; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Competitive salary and benefits package

Opportunities for professional growth

Collaborative, innovative environment

Job summary

A leading financial services firm is seeking an AI Engineer to design, build, and deploy autonomous AI agents that streamline workflows. You will collaborate across teams to translate needs into robust multi-agent systems, leveraging cutting-edge frameworks. Candidates should possess an advanced degree in a relevant field, with experience in building agentic AI applications, Python proficiency, and strong problem-solving skills. This role offers a competitive salary and professional growth opportunities in a collaborative environment focused on innovation.

Qualifications

• Advanced degree in Computer Science, Data Science, Machine Learning, 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; experience writing comprehensive tests.

Responsibilities

• Architect, develop, and productionize autonomous AI agents.
• Design multi-agent systems including role definition and tool integration.
• Implement RAG pipelines and semantic search with vector databases.
• Mentor and guide team members on agent frameworks and best practices.

Skills

Experience building and deploying agentic AI applications

Expertise with ML frameworks such as PyTorch and TensorFlow

Proficiency in Python

Hands-on experience with agent frameworks

Strong problem-solving skills

Effective communication skills

Education

Advanced degree in Computer Science or related field

Tools

LangChain

AWS

TensorFlow

PyTorch

Job description

A leading financial services firm is seeking an AI Engineer to design, build, and deploy autonomous AI agents that streamline workflows. You will collaborate across teams to translate needs into robust multi-agent systems, leveraging cutting-edge frameworks. Candidates should possess an advanced degree in a relevant field, with experience in building agentic AI applications, Python proficiency, and strong problem-solving skills. This role offers a competitive salary and professional growth opportunities in a collaborative environment focused on innovation.