Applied AI Engineer - Agentic Systems - Senior Associate

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

Job 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 using modern agent frameworks.
• Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation.
• Build and integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling.
• 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, metrics, and feedback loops.
• Partner with stakeholders to define requirements, design intuitive human‑AI interfaces, and deliver measurable business impact.
• Analyze data to inform agent capabilities, optimize retrieval, and drive data‑driven decision‑making; conduct A/B tests and performance evaluations.
• Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices.

Required Qualifications, Capabilities, and Skills:

• 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 and building 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 techniques.
• Familiarity with cloud platforms and containerization technologies.
• Strong problem‑solving skills and ability to work independently and collaboratively.
• Effective communication skills for technical and non‑technical audiences.

Preferred Qualifications, Capabilities, and Skills:

• Experience in financial services, especially investment banking operations.
• Experience fine‑tuning small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation.
• Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites.
• Experience with distributed computing, data sharding, and performance optimization.
• Hands‑on experience with AWS services related to AI deployment and workflow orchestration.

Why Join Us?

We offer a competitive salary and benefits package, opportunities for professional growth, and a collaborative, innovative environment focused on responsible AI. You will work on impactful projects that shape the future of finance and have the chance to make a real difference.

Join us to shape the future of AI‑driven business operations. You will have the opportunity to create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi‑agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make a meaningful impact. Be part of a team that thrives on innovation and continuous improvement.

As an AI Engineer in our Agentic AI Solutions team, you will design, build, and deploy autonomous and assistive AI agents that streamline complex workflows. You will collaborate with cross‑functional partners to translate operational needs into robust multi‑agent systems, leveraging advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported.