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- Tasks: Lead AI strategies and design scalable solutions for real-world impact.
- Company: Join CGI, a top-rated employer known for innovation and inclusivity.
- Benefits: Enjoy competitive salary, private healthcare, pension, and share scheme.
- Why this job: Be part of a supportive team driving digital transformation in AI.
- Qualifications: Experience in AI/ML systems design and strong leadership skills required.
- Other info: Opportunity to mentor teams and shape your career from day one.
The predicted salary is between 43200 - 72000 £ per year.
Challenge yourself and change lives, unlocking complex system solutions as part of a highly motivated and supportive team. Our Enterprise Architects are trusted to work closely with a wide range of clients on exciting projects with real-world purpose and impact.
CGI was recognised in the Sunday Times Best Places to Work List 2024 and has been named one of the 'World's Best Employers' by Forbes magazine. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector. We'll train and support you in taking your career wherever you want it to go.
CGI is at the forefront of artificial intelligence innovation, providing cutting-edge solutions to transform businesses. We are seeking a forward-thinking AI Enterprise Architect to lead the design and implementation of enterprise-wide artificial intelligence strategies. The ideal candidate will be responsible for aligning AI initiatives with business goals, developing scalable AI architectures and ensuring seamless integration across systems, data sources and workflows. This role requires a strong blend of technical acumen, strategic vision and cross-functional leadership to drive innovation and digital transformation.
Your future duties and responsibilities
- Define and drive the enterprise AI strategy in alignment with business and IT objectives
- Collaborate with C-suite, business units and technology leaders to identify AI opportunities
- Design scalable, secure and resilient AI/ML solutions and frameworks across the enterprise
- Develop reference architectures and best practices for AI integration, deployment and lifecycle management
- Oversee the integration of AI solutions with existing enterprise systems, data platforms and cloud services
- Ensure data governance, model interpretability and compliance (e.g. GDPR, ethical AI standards)
- Evaluate emerging AI technologies and vendors, make recommendations on adoption and implementation
- Stay updated on industry trends and provide thought leadership in enterprise AI adoption
- Mentor cross-functional teams on AI architecture, tooling and frameworks
- Bridge communication between data scientists, engineers and business stakeholders
- Define AI governance frameworks to manage model drift, bias and performance monitoring
- Establish guardrails for ethical and responsible AI usage
Required qualifications to be successful in this role
- Proven experience in enterprise architecture, projects specifically in AI/ML systems design
- Deep understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, Azure, GCP)
- Strong experience with data architecture, pipelines and governance (e.g., data lakes, ETL, MLOps)
- Knowledge of regulatory and ethical considerations in AI systems
- Excellent leadership, communication and stakeholder engagement skills
Desirable:
- TOGAF or other enterprise architecture certification
- Experience deploying AI solutions at scale in industries such as finance, healthcare or retail
- Understanding of GenAI (e.g. LLMs), NLP, computer vision or reinforcement learning
- Experience with containerisation, orchestration (e.g., Docker, Kubernetes) and CI/CD for ML
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because you are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.
Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team - one of the largest IT and business consulting services firms in the world.
AI Enterprise Architect employer: ENGINEERINGUK
Contact Detail:
ENGINEERINGUK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Enterprise Architect
✨Tip Number 1
Network with professionals in the AI and enterprise architecture fields. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and mentors who can provide insights into the role and company culture.
✨Tip Number 2
Stay updated on the latest trends and technologies in AI and enterprise architecture. Follow relevant blogs, podcasts, and thought leaders on platforms like LinkedIn to demonstrate your knowledge and passion during interviews.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented AI solutions. Be ready to explain your thought process, the challenges you faced, and how you aligned these projects with business goals.
✨Tip Number 4
Familiarise yourself with CGI's values and recent projects. Tailor your conversations to reflect how your skills and experiences align with their mission and how you can contribute to their innovative AI initiatives.
We think you need these skills to ace AI Enterprise Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML systems design and enterprise architecture. Use specific examples that demonstrate your technical skills and leadership abilities, particularly in relation to the responsibilities outlined in the job description.
Craft a Compelling Cover Letter: Write a cover letter that connects your background with the role of AI Enterprise Architect. Emphasise your understanding of AI frameworks and your experience in aligning AI initiatives with business goals. Show enthusiasm for the company's commitment to innovation and inclusivity.
Highlight Relevant Projects: In your application, include details about specific projects where you have designed scalable AI solutions or integrated AI into existing systems. This will showcase your practical experience and ability to drive digital transformation.
Showcase Leadership Skills: Since the role requires strong leadership and stakeholder engagement, provide examples of how you've successfully led cross-functional teams or mentored others in AI architecture. This will demonstrate your capability to bridge communication between technical and business stakeholders.
How to prepare for a job interview at ENGINEERINGUK
✨Showcase Your Technical Expertise
As an AI Enterprise Architect, it's crucial to demonstrate your deep understanding of AI/ML frameworks and cloud platforms. Be prepared to discuss specific projects where you've successfully implemented these technologies, highlighting your role in the design and integration processes.
✨Align with Business Goals
During the interview, emphasise your ability to align AI initiatives with business objectives. Share examples of how you've collaborated with C-suite executives and other stakeholders to identify AI opportunities that drive value for the organisation.
✨Discuss Ethical Considerations
Given the importance of ethical AI usage, be ready to talk about your knowledge of regulatory and ethical considerations in AI systems. Discuss how you've ensured compliance and governance in previous roles, particularly regarding data privacy and model interpretability.
✨Demonstrate Leadership Skills
Highlight your experience in mentoring cross-functional teams and bridging communication between technical and non-technical stakeholders. Provide examples of how you've led teams in the design and deployment of AI solutions, showcasing your leadership and stakeholder engagement skills.
