About the Position

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.

Responsibilities

Design, build, and ship AI-powered features
Collaborate with engineers, product managers, and designers
Operate within a regulated, customer-facing environment
Contribute to the development of production agentic AI systems

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).

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.

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

コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。詳細については、cognizant.ai をご覧ください。

Employment Additional Information

本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。

応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。

Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。

Benefits to Support Your Growth and Well-being

Our benefits programs are designed with you in mind, supporting a fulfilling, balanced, and healthy life.

Economic Well-being

We regularly review market data to ensure that the value you bring is reflected in your compensation. Benefits go beyond salary and may include retirement and pension plans, financial education, and more.

Physical and Mental Health

We support your well-being through paid time off, flexible working arrangements where possible, health insurance plans, counseling, mental health allyship programs, and more.

Your Career, Your Way

With over 350,000 roles across Cognizant, you have the opportunity to explore new technologies, industries, and locations. You can develop the skills you need to grow your career on your terms.

Real-world Impact

Think of the world-class brands you trust. Many of them count on us to help them power their business for the future. Here, you can turn bold ideas into solutions that improve lives around the world.

Your Career Journey at Cognizant

Here’s an overview of the hiring process. Note that the process may vary by role and location. For more details, please see our FAQ.

Step 1: Apply for the Right Role

Find the right role for you based on your skills and career goals. Be sure to highlight why you’re the perfect fit. If you don’t see a role that fits, consider joining our Talent Community.

Step 2: Connect with a Recruiter

If our recruiters think you’re a good fit, they’ll set up a short online chat (initial contact) to learn more about you and how your experience and skills match the role.

Step 3: Showcase Your Skills

If both you and we decide to move forward, you’ll move on to an interview with our hiring team. Depending on the role, this may include a technical assessment or client interview.

Step 4: Final Decision

Our team will then review all candidates to determine who will be the best fit for the role. This step may take some time, but we’ll keep you updated along the way.

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AI Engineer – Agentic AI

Job description