Applied AI Engineer - Agentic Systems - Senior Associate in Bristol

Applied AI Engineer - Agentic Systems - Senior Associate in Bristol

Bristol Full-Time 80000 - 98000 £ / year (est.) Home office (partial)
J.P. Morgan

At a Glance

  • Tasks: Design and deploy AI agents that revolutionise business operations and streamline workflows.
  • Company: Join a global leader in financial services with a focus on innovation and collaboration.
  • Benefits: Competitive salary, professional growth opportunities, and a supportive work environment.
  • Other info: Diverse and inclusive workplace valuing unique talents and perspectives.
  • Why this job: Make a real impact on the future of finance with cutting-edge AI technology.
  • Qualifications: Advanced degree in relevant fields and experience in building agentic AI applications.

The predicted salary is between 80000 - 98000 £ per year.

Join us to shape the future of AI-driven business operations.

We value your expertise in building multi-agent systems and your passion for collaborating across teams.

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.

Your work will directly impact our business by delivering scalable and reliable AI solutions.

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.

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.

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 Py Torch, Tensor Flow, and scikit-learn.

Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts.

Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques.

Experience in financial services, especially investment banking operations.

Experience fine-tuning small language models with approaches like Lo RA, QLo RA, Do RA; 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.

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.

Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors.

We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success.

We are an equal opportunity employer and place a high value on diversity and inclusion at our company.

We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.

We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Visit our FAQs for more information about requesting an accommodation.

Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. xxuwjjq The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

J.P. Morgan

Contact Details:

J.P. Morgan Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Applied AI Engineer - Agentic Systems - Senior Associate in Bristol

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We think you need these skills to ace Applied AI Engineer - Agentic Systems - Senior Associate in Bristol

Multi-Agent Systems Design
Autonomous AI Agent Development
Workflow Orchestration
Retrieval-Augmented Generation (RAG)
Semantic Search
Data Analysis
Prompt Engineering

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at J.P. Morgan. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

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Brush Up on Your Statistics

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Get Comfortable with Python and R

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Prepare for Case Studies

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