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.
コグニザントについて
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。
雇用に関する追加情報
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。
