Role: Senior AI Engineer
Employment: Fulltime
Location – London (Hybrid, 3 days per week on-site)
We are looking for a highly skilled Senior AI Engineer to work on the architecture, development, and productionisation of intelligent AI solutions. This will involve building software powered by Large Language Models (LLMs), Agentic frameworks, and predictive algorithms.
The ideal candidate blends software engineering discipline with a deep understanding of AI to design scalable, cost-efficient, highly reliable systems, and driving best-practice use of Databricks across the organisation.
This role sets the technical foundations, standards, and patterns that enable teams to build, deploy, and operate production-grade AI engineering solutions efficiently and safely. The role combines strong software engineering, deep Databricks knowledge, and AI expertise, with a focus on developer experience and scalability.
Key responsibilities
Analyse and interpret eval results, logs and traces from a live AI product
Develop and maintain Python microservices, Azure functions, Python packages and REST APIs
Build and maintain Lambda functions, Step Functions, and LLM agents to orchestrate workflows.
Work with DevOps engineers on day-to-day development, deployment, and operational support.
Contribute to CI/CD pipelines and deployment automation using GitHub Actions.
Manage artifacts, enforce branch strategies, and utilize Maven and Nexus for release-to-live (RTL) development, including versioning, dependencies, and packaging standards.
Participate in code reviews and maintain documentation for backend services.
Key skills and experience
Hands-on experience with Python frameworks such as Flask, FastAPI, or Django.
Proven experience building and maintaining RESTful APIs.
Solid understanding of API design, security, versioning, and scalability.
Python proficiency, LLM orchestration (RAG), and hands-on experience designing end-to-end intelligent applications using Microsoft's cloud ecosystem
Familiarity with serverless architectures and event-driven design.
Knowledge of model orchestration, prompt engineering and LLM evaluation workflows.
CI/CD and Git-based workflow knowledge.
Ability to ensure data consistency, logging, and error handling across distributed services.
Experience with GitHub Actions, Jenkins, or other pipeline automation tools.
Experience with LangChain, LangGraph and Vector databases.
Degree in Computer Science, Software Engineering, or related field — or equivalent experience.
Nice to have
GenAI exposure
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。
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