At a Glance
- Tasks: Design and implement advanced AI systems, leading cross-functional teams to deliver innovative solutions.
- Company: Capgemini, a leader in tech innovation with a focus on collaboration.
- Benefits: Flexible working, wellbeing resources, and opportunities for personal growth.
- Other info: Exciting career growth opportunities in a supportive environment.
- Why this job: Join a dynamic team and make a real impact in the AI landscape.
- Qualifications: Experience in AI/ML solutions and strong collaboration skills required.
The predicted salary is between 81000 - 99000 £ per year.
- Lead AI Engineer Overview
- Company Name
- Capgemini
- Job Role
- Lead AI Engineer
Qualifications
- Not Specified
- Category
- IT Jobs
- Job Type
- Full Time
- Location
- Birmingham
We are looking for a Lead AI Engineer who will be responsible for designing, building, and operationalizing advanced AI, Machine Learning, and Generative AI systems at an enterprise level.
This role is crucial in bridging the gap between AI prototypes and the integration of data and AI solutions into business operations.
The successful candidate will ensure that AI solutions are scaled responsibly and effectively, transitioning from development to live deployment while maximizing business value.
Key Responsibilities
- Design and implement comprehensive AI and machine learning systems, overseeing the entire process from data preparation to model deployment and monitoring.
- Utilize advanced Generative AI frameworks and tools to deliver innovative solutions.
- Translate business requirements into effective data and AI architectures using appropriate cloud services.
- Lead cross-functional teams to fulfill complex project requirements.
- Architect and deploy Generative AI solutions, ensuring ethical and responsible practices throughout the AI lifecycle.
- Collaborate with product managers, data scientists, and business stakeholders to ensure AI solutions provide measurable business value.
- Contribute to business development by creating client-ready demonstrations and supporting technical proposals.
- Develop internal resources and frameworks to enhance delivery efficiency across projects.
- Engage in capability development by contributing to thought leadership and internal projects related to emerging AI technologies.
Qualifications
- Proven experience in a consulting environment or industry, with a strong ability to navigate matrixed organizations.
- Experience collaborating with both technical and non-technical stakeholders to define project requirements and develop solutions.
- Demonstrated success in designing and implementing MLOps strategies and delivering AI/ML solutions at scale.
- In-depth knowledge of Generative AI and Agentic AI, including RAG pipelines and orchestration frameworks.
- Experience in designing cloud-native data and AI architectures using platforms such as Azure, GCP, AWS, or Databricks.
- Ability to showcase how scaling AI can unlock business value.
- Technical expertise in deploying AI solutions on major cloud platforms and building automated AI/ML pipelines.
- Hands-on experience with Generative and Agentic AI frameworks and proficiency in CI/CD and containerization technologies.
Benefits
- Flexible working arrangements to promote a positive work-life balance.
- Access to wellbeing resources, including mental health support and wellbeing apps.
- Opportunities for personal and professional growth through internal communities and best practices.
- A competitive remuneration package with flexible benefits tailored to individual needs.
To be eligible for this role, candidates must have resided in the UK for the last 5 years.
Degree Requirement
- Not Specified
- Visa Sponsorship May be
- #J-18808-Ljbffr
Lead AI Engineer in Birmingham employer: Capgemini
Capgemini is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a hybrid working model, employees enjoy the flexibility of blending office, client site, and home working, while also benefiting from extensive growth opportunities and professional development within the Capital Markets sector. Join us to be part of a team that values governance excellence and empowers you to make a meaningful impact in complex programme environments.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer in Birmingham
✨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 Capgemini 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 Capgemini.
✨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 Capgemini.
✨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 Capgemini 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 Lead AI Engineer in Birmingham
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 Capgemini.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Capgemini 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 Capgemini
✨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 Capgemini 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.
