About the Position

AI Engineer – Agentic AI

Location: Burgess Hill, UK

Employment Type: Full-time

Work Model: Hybrid

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.

Responsibilities

Design, build, and ship AI-powered features
Collaborate with engineers, product managers, and designers
Operate within a regulated, customer-facing environment
Learn and grow 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
Model-level work using PyTorch and the Hugging Face ecosystem
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.

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).

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 the Company

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.

Benefits that help you thrive and grow

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.

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.

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.

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.

Your Path to Cognizant

Here’s what you can expect from our hiring process. Please keep in mind that it may vary by role and location. Explore our FAQs to learn more.

Step 1: Apply to the Right Opportunity

Find an open role that matches your skills and career goals and show us why you’re the person 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 fit, they’ll set up a short intro call to learn more about you and how your experiences and skills match the role.

Step 3: Show Off Your Skills

If you and our team would like to continue the process, you’ll interview with our hiring team. Some roles may also require technical assessments and/or client interviews.

Step 4: Decision Time

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 fit for both you and us-but you can count on us to keep you updated.

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AI Engineer – Agentic AI

Job description