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AI Engineer – Agentic AI

00069813753

AI Engineer– Agentic AI

Location: Burgess Hill, UK

Employment Type: Full-time


About the Role

As an AI Engineer– 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.

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

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, with strong judgment about when to use frameworks versus building lighter-weight primitives
  • 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)

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.

What You Need to Have to Be Considered

  • 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).

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.

Preferred Domain Experience: Financial Services, Banking, Wealth Management, FinTech, Insurance, or other highly regulated industries.


About Cognizant: 
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

Benefits that help you thrive and grow

Our benefits program is built with you in mind—so you can enjoy a fulfilling, balanced and healthy life.

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Financial wellbeing

We regularly review market data to ensure compensation reflects the value you bring. Your benefits extend beyond pay and may include retirement plans, financial education, etc.

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Physical and mental health

We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more. 

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Your career, your way

With 350,000+ roles at Cognizant, you’ll have opportunities explore new technologies, industries and locations—and build the skills you need to grow your career.

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Real-world impact

Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.

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