Cognizant
AI Engineer – Agentic AI
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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)
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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.
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).
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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.
Preferred Domain Experience: Financial Services, Banking, Wealth Management, FinTech, Insurance, or other highly regulated industries.
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