At a Glance
- Tasks: Design and implement enterprise AI architecture across diverse technology environments.
- Company: Join Alvarez & Marsal, a global consulting firm with a vibrant culture.
- Benefits: Enjoy continuous learning, competitive benefits, and a focus on personal development.
- Other info: Collaborative environment with endless growth opportunities and a fun culture.
- Why this job: Make a real impact by driving AI solutions that transform businesses.
- Qualifications: Experience in enterprise architecture and AI delivery in large organisations.
The predicted salary is between 80000 - 100000 £ per year.
About Alvarez & Marsal
Alvarez & Marsal (A&M) is a global consulting firm with entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are why our people love working at A&M.
The Team
We are a cross-disciplinary group bringing together enterprise architecture, data platforms, engineering, security, and delivery excellence to help clients design, govern, and scale AI solutions across complex environments. We partner with senior business and technology leaders to translate strategic outcomes into secure, scalable, and responsible AI capabilities that deliver measurable impact. Our work spans advisory and hands-on delivery—defining target-state architectures, establishing guardrails and governance, and guiding engineering teams from prototype to production.
How you will contribute
- Define enterprise AI architecture spanning data, cloud, applications, integration, and security across diverse technology estates.
- Design scalable AI solutions using modern AI, machine learning, and GenAI technologies, aligned to business outcomes and value cases.
- Translate business problems into practical AI use cases, solution designs, and delivery roadmaps with clear benefits, risks, and dependencies.
- Assess current-state platforms and identify data, platform, and integration changes needed to enable AI at scale.
- Establish architecture patterns, guardrails, and governance standards for responsible AI adoption, including security, privacy, and model risk controls.
- Partner with cloud, data, engineering, security, and business teams to progress AI use cases from prototype to production with robust MLOps/LMMOps practices.
- Lead technical decision-making across platforms, vendors, operating models, and delivery approaches, balancing speed, risk, and total cost of ownership.
- Advise senior stakeholders on technical trade-offs, risks, interdependencies, and investment choices to inform portfolio and roadmap decisions.
- Drive measurable outcomes through automation, productivity improvements, cost reduction, and better use of enterprise data assets.
Qualifications
- Experience across enterprise architecture and solution architecture with exposure to cloud, data, or AI delivery in large organizations.
- Strong understanding of how AI solutions are designed, integrated, governed, and deployed at enterprise scale, including security and compliance considerations.
- Hands-on familiarity with modern cloud and data platforms (e.g., AWS, Azure), and ecosystem tools (e.g., Snowflake, Databricks, or similar).
- Knowledge of GenAI, machine learning, orchestration and automation, data pipelines, APIs, integration patterns, and enterprise security controls.
- Ability to define pragmatic technical architectures without being limited to a single platform or vendor; experience evaluating build/buy/partner options.
- Proven track record moving AI use cases beyond pilots into resilient, observable, and cost-effective enterprise solutions.
- Comfortable operating from strategic target-state design through delivery detail, including patterns, reference architectures, and implementation guidance.
- Excellent stakeholder management and communication skills, able to explain complex topics clearly to business and technology leaders.
- Experience in regulated, data-heavy, or complex enterprise environments is advantageous.
Your journey at A&M
We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person’s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career. We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.
Job Description Enterprise AI Architect in London employer: Alvarez & Marsal Deutschland GmbH
Alvarez & Marsal is an exceptional employer that champions a culture of integrity, quality, and inclusive diversity, making it a vibrant place for professionals to thrive. With a strong focus on employee growth through continuous learning and robust performance development, A&M offers unique opportunities to work on impactful AI solutions in a collaborative environment. The entrepreneurial spirit and commitment to personal well-being ensure that employees not only contribute meaningfully but also enjoy their journey with the firm.
Contact Details:
Alvarez & Marsal Deutschland GmbH Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Job Description Enterprise AI Architect in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Showcase your skills! Create a portfolio or a personal website where you can display your projects and achievements. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by researching the company culture and values. At A&M, they value integrity and collaboration, so be ready to share how you embody these traits in your work.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Job Description Enterprise AI Architect in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Enterprise AI Architect role. Highlight your experience with AI solutions, cloud platforms, and enterprise architecture to show us you’re the perfect fit!
Showcase Your Skills:Don’t just list your skills—demonstrate them! Use specific examples from your past work that align with the job description. We love seeing how you've tackled challenges and delivered results in AI and data environments.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your writing is easy to read and free of jargon. This helps us understand your qualifications quickly!
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Alvarez & Marsal Deutschland GmbH
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI solutions, especially how they integrate with cloud and data platforms. Be ready to discuss specific technologies like AWS or Azure, and how you've applied them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've translated complex business problems into practical AI use cases. Highlight your experience in defining architectures and delivery roadmaps that led to measurable outcomes.
✨Understand the Bigger Picture
Familiarise yourself with A&M's core values and how they align with your own professional ethos. Be prepared to discuss how you can contribute to their collaborative environment and drive responsible AI adoption.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You'll need to demonstrate your ability to communicate effectively with both technical teams and senior stakeholders, so think about how you can make your points clear and engaging.
