AI Engineer – Agentic AI

Cognizant; Burgess Hill; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Cognizant is hiring an AI Engineer– Agentic AI in Burgess Hill, UK. This full-time role focuses on building production agentic AI systems using real financial data and customer-facing environments.

You will work with engineers, PMs, and designers to design, build, and ship AI-powered features, growing depth in LLMs, agentic workflows, and production AI engineering in a regulated setting.

Qualifications

• 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).

Responsibilities

• Hands-on build of production agentic AI systems operating on real financial data.
• Collaborate with engineers, product managers, and designers to design, build, and ship AI-powered features.
• Operate within a regulated, customer-facing environment with emphasis on reliability, security, and auditability.
• Grow technical depth in LLMs, agentic systems, and production AI engineering.

Skills

Python

Java

LLMs

AI Agents

microservices

Event-driven programming

Apache Kafka

Kubernetes

Docker

CI/CD

AWS

GCP

PostgreSQL

LangGraph

LangChain

AirFlow

Pydantic

Zod

ADLC

Tools

LangGraph

LangChain

AirFlow

Pydantic

Zod

Job description

AI Engineer– Agentic AI

About the Role

Location: Burgess Hill, UK

Employment Type: Full-time

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 TensorFlowStrong 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.