AI Engineer – Agentic AI

About the Position

AI Engineer – Agentic AI

Location: Burgess Hill, UK

Employment Type: Full-time

Work Model: Hybrid

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About the Role

As an AI Engineer specializing in Agentic AI, you will be a hands-on builder contributing to the development of production agentic AI systems that operate on real financial data and serve real customers. You will work alongside experienced engineers, product managers, and designers to design, build, and ship AI-powered features, while learning how to operate within a regulated, customer-facing environment. This role offers strong mentorship and opportunities to grow your technical depth in LLMs, agentic systems, and production AI engineering.

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Responsibilities

• Design, build, and ship AI-powered features.
• Collaborate with experienced engineers, product managers, and designers.
• Operate within a regulated, customer-facing environment.
• Learn and grow in LLMs, agentic systems, and production AI engineering.

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Core Engineering Stack

• Languages: Python, Go, TypeScript
• Cloud and Infrastructure: AWS and/or GCP, Kubernetes
• APIs and Services: REST, gRPC
• Distributed Systems: Event-driven architectures, including Kafka
• Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc.

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Agentic AI and ML

• Integration of commercial and open-source LLMs into agentic workflows.
• Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI.
• Model-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to TensorFlow.
• Strong schema, validation, and state management practices using tools such as Pydantic (Python) and Zod (TypeScript).

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AI-Assisted Development

• Use of AI-assisted and agentic development tools for design, implementation, testing, debugging, and refactoring.
• Learning how to apply these tools responsibly while maintaining production-quality standards.
• All systems are built to meet high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in a financial services environment.

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Requirements

• Strong software engineering experience with Python (preferred) or Java.
• Hands-on experience with Large Language Models (LLMs), including:
  • ChatGPT/OpenAI
  • Google Gemini
  • Anthropic Claude
• Experience building and integrating AI Agents and business workflow automation solutions.
• Development and integration of microservices-based architectures.
• Strong understanding of event-driven programming and distributed systems.
• Hands-on experience with Apache Kafka and messaging platforms.
• Experience working with Enterprise Data Hubs and data integration platforms.
• Strong PostgreSQL database design and development skills.
• Experience with AWS and/or GCP cloud platforms.
• Hands-on expertise in:
  • Kubernetes
  • Docker/Containers
  • CI/CD pipelines
• Knowledge of:
  • DevOps
  • DevSecOps
  • MLOps
  • LLMOps
• Experience with Agentic AI frameworks and the Agentic Development Lifecycle (ADLC).

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Additional Eligibility Requirements

• Candidates must currently reside in the United Kingdom.
• Candidates must be available to start within four weeks of receiving an offer.
• Ability to work onsite in Burgess Hill, UK, three days per week.

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Preferred Domain Experience

• Financial Services, Banking, Wealth Management, FinTech, Insurance, or other highly regulated industries.

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About Cognizant

Cognizant (Nasdaq: CTSH) is a creator of AI solutions and a technology services provider that connects AI investment with business value by developing full-stack AI solutions for its clients. Their deep industry knowledge, along with their process and engineering expertise, allows them to incorporate the unique context of each organization into technology systems that amplify human potential, drive tangible results, and keep businesses at the forefront in an ever-changing environment. More information at cognizant.ai or @cognizant.

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Benefits That Help You Thrive and Grow

Our benefits program is designed with you in mind, so you can enjoy a full, balanced, and healthy life.

Financial Well-being

We regularly review market data to ensure that compensation reflects the value you bring. Your benefits go beyond salary and can include retirement plans, financial education, etc.

Physical and Mental Health

We give you the tools to prioritize your well-being through paid time off, flexible work options when possible, healthcare plans, counseling services, our Mental Health Allyship program, and much more.

Your Career, Your Way

With over 350,000 positions at Cognizant, you will have opportunities to explore new technologies, industries, and locations, and develop the skills you need to grow your career.

Real-World Impact

Think of the biggest brands you trust. Chances are, they trust us to help strengthen their business. Here, you will turn bold ideas into solutions that improve lives everywhere.

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Your Path to Cognizant

Here's what you can expect from our hiring process. Note that it may vary by role and location. Explore our frequently asked questions for more information.

Step 1: Apply to the Right Opportunity

Find an open position that matches your skills and career goals and show us why you are the right fit for the job. Don't see the right opportunity? Consider joining our Talent Community.

Step 2: Connect with Your Recruiter

If one of our recruiters sees a match, they will arrange a brief introductory call to learn more about you and how your experiences and skills align with the role.

Step 3: Showcase Your Skills

If you and our team want to continue the process, you will have an interview with our hiring team. Some roles may also require technical assessments and/or client interviews.

Step 4: Time to Decide

Our team will then review each candidate's potential to succeed in the role. This step may take some time because we want to find the right opportunity for both you and us, but you can count on us to keep you informed.

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