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
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional de empleo
La información de compensación es precisa a la fecha de esta publicación. Cognizant se reserva el derecho de modificar esta información en cualquier momento, sujeto a la legislación aplicable.
Es posible que se requiera que los solicitantes asistan a entrevistas en persona o por videoconferencia. Además, es posible que se requiera que los candidatos presenten su identificación actual emitida por el estado o gobierno durante cada entrevista.
Cognizant es un empleador que ofrece igualdad de oportunidades. Tu solicitud y candidatura no serán consideradas en base a raza, color, sexo, religión, credo, orientación sexual, identidad de género, origen nacional, discapacidad, información genética, embarazo, condición de veterano o cualquier otra característica protegida por las leyes federales, estatales o locales.
Si tienes una discapacidad que requiere adaptaciones razonables para buscar una vacante de trabajo o enviar una solicitud, puedes enviar un correo electrónico a [email protected] con tu solicitud e información de contacto.
