AI Engineer – Agentic AI

發佈日期: 8月 12 2026

位置: Burgess Hill / United Kingdom

工作類別: Technology & Engineering

工作模式: Hybrid

About the Position

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 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.

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

高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。

Benefits

我们的福利计划以您为中心打造--帮助您享受充实、平衡且健康的生活。

财务健康

我们会定期审查市场数据，确保薪酬体现您所带来的价值。您的福利不仅限于薪资，还可能包括退休计划、财务教育等。

身心健康

我们通过带薪休假、在条件允许下的灵活工作安排、医疗保障计划、心理咨询、心理健康盟友计划等，赋能您将身心健康放在首位。

您的职业发展，由您做主

在 Cognizant 提供的 35 万多个岗位中，您将有机会探索新的技术、行业和工作地点，并打造推动职业发展的关键技能。

现实世界的影响力

想想您所依赖的那些知名品牌。很可能，他们也依赖我们来帮助强化其业务。在这里，您将把大胆的想法转化为改善全球生活的解决方案。

Application Process

Step 1: Apply for the Right Job Opportunity

Find an open position that matches your skills and career goals, and show us why you’re the best fit. Didn’t see the right opportunity? Join our talent community.

Step 2: Connect with Your Recruiter

If our recruiter thinks you’re a good fit, they’ll set up a brief introductory call to learn more about you, your experience, and how your skills match the role.

Step 3: Showcase Your Skills

If you and our team are interested in moving forward, you’ll interview with our recruiting team. Some roles may also require a technical assessment and/or customer interview.

Step 4: Make a Decision

Next, our team will evaluate each candidate’s potential to succeed in the role. Since we want to find the best fit for you and us, this step may take some time-but rest assured, we’ll keep you updated along the way.

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