At a Glance
- Tasks: Build intelligent AI solutions using cutting-edge technologies and frameworks.
- Company: Join a forward-thinking tech company leading the AI revolution.
- Benefits: Attractive salary, health perks, remote flexibility, and growth opportunities.
- Other info: Dynamic team environment with endless learning and career advancement.
- Why this job: Shape the future of AI while working on innovative projects that matter.
- Qualifications: Strong Python skills and experience with AI and cloud technologies.
The predicted salary is between 60000 - 80000 £ per year.
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
Senior AI Engineer in Slough employer: Cognizant
As a Senior AI Engineer at our innovative company, you will thrive in a dynamic work culture that prioritises collaboration and creativity. We offer competitive benefits, including professional development opportunities and a commitment to work-life balance, all set in a vibrant location that fosters both personal and professional growth. Join us to be part of a forward-thinking team dedicated to pushing the boundaries of AI technology while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer in Slough
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Cognizant or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Cognizant.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Cognizant.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Cognizant that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior AI Engineer in Slough
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Cognizant.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Cognizant and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Cognizant
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Cognizant uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
