At a Glance
- Tasks: Lead AI architecture design and delivery for major financial services clients.
- Company: Global consulting firm at the forefront of AI innovation.
- Benefits: Competitive salary, leadership opportunities, and a collaborative work environment.
- Other info: Join a dynamic team and mentor high-performing technical professionals.
- Why this job: Shape the future of AI in banking and capital markets with cutting-edge technology.
- Qualifications: Extensive experience in AI architecture and enterprise technology delivery.
The predicted salary is between 90000 - 120000 € per year.
A leading global consulting firm is seeking a highly experienced Lead AI Architect to help shape and deliver enterprise-scale AI transformation programmes across the Capital Markets or banking sector. This is a senior leadership opportunity for someone who combines deep technical expertise in AI/ML architecture with strong stakeholder engagement skills and a passion for delivering innovative, pragmatic solutions. You will play a key role in defining AI strategy, designing scalable architectures, and leading the successful implementation of cutting-edge AI and Generative AI solutions for major financial services clients.
The Role
You will lead the design and delivery of scalable AI architectures that integrate seamlessly with existing enterprise platforms, helping clients unlock value from AI, ML and GenAI technologies. Key responsibilities include:
- Defining AI/ML/GenAI architecture strategies and implementation roadmaps aligned to client business and digital transformation goals
- Designing end-to-end AI architectures and scalable deployment models across enterprise environments
- Advising clients on suitable AI use cases and opportunities for enterprise-wide adoption
- Collaborating with Enterprise Architects, Data Scientists, MLOps Engineers, DevOps teams and business stakeholders to shape and deliver solutions
- Selecting and implementing appropriate cloud, open-source and commercial AI technologies
- Leading the delivery and operational improvement of AI-powered applications using agile methodologies
- Ensuring AI solutions are secure, compliant, ethical and aligned with emerging regulatory standards
- Supporting business development activities including proposals, client presentations and go-to-market initiatives
- Leading and mentoring high-performing technical teams within a collaborative and inclusive environment
About You
You will bring significant experience in AI architecture and enterprise technology delivery within Financial Services, ideally with strong exposure to Capital Markets or banking environments. You should demonstrate experience across:
- Enterprise and solution architecture within complex organisations
- Cloud-based AI/ML platforms including Azure OpenAI, Azure ML, AWS Bedrock, SageMaker, Google Vertex AI, Databricks, Snowflake, Dataiku or similar technologies
- Designing scalable and cost-optimised AI solutions using serverless, containerised and Kubernetes-based environments
- Generative AI and Large Language Model (LLM) deployment and hosting
- Retrieval Augmented Generation (RAG), vector databases, semantic search and embedding techniques
- Python development and AI frameworks such as PyTorch, TensorFlow and LangChain
- MLOps frameworks and AI model lifecycle management
- API integration and enterprise-wide AI solution delivery
- Presenting architecture solutions to senior stakeholders, governance forums and architecture boards
You will also possess excellent communication and leadership skills, with the ability to engage both technical and non-technical stakeholders, lead multidisciplinary teams, and drive successful outcomes in fast-paced consulting environments. This is an outstanding opportunity to work at the forefront of AI innovation, partnering with some of the world’s leading financial institutions on complex, high-impact transformation programmes.
Please note there is a need for multiple architects, and they are also hiring at the grades below this one.
Lead AI Architect - Capital Markets/Banking - Global Consulting Firm in Slough employer: Milburn Lewis
As a leading global consulting firm, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our employees benefit from unparalleled growth opportunities, working alongside industry experts on transformative AI projects within the Capital Markets and banking sectors. With a commitment to professional development and a focus on ethical AI solutions, we empower our team members to make a meaningful impact while enjoying a supportive environment in a vibrant location.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Architect - Capital Markets/Banking - Global Consulting Firm in Slough
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to AI and banking. You never know who might be looking for someone with your skills, and personal connections can often lead to job opportunities.
✨Showcase Your Expertise
Create a portfolio that highlights your past projects and achievements in AI architecture. Use platforms like GitHub to share your code or write articles on LinkedIn about your insights in AI/ML. This will help you stand out and demonstrate your knowledge to potential employers.
✨Ace the Interview
Prepare for interviews by practising common questions related to AI architecture and stakeholder engagement. Be ready to discuss your experience with specific technologies mentioned in the job description, and don’t forget to showcase your leadership skills and how you’ve driven successful outcomes in previous roles.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and take the initiative to reach out directly.
We think you need these skills to ace Lead AI Architect - Capital Markets/Banking - Global Consulting Firm in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Lead AI Architect. Highlight your experience in AI architecture and any relevant projects in Capital Markets or banking. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how you can contribute to our team. Share specific examples of your past successes in AI transformation programmes.
Showcase Your Technical Skills:Don’t hold back on your technical expertise! Make sure to mention your experience with cloud-based AI platforms, Generative AI, and any programming languages like Python. We love seeing candidates who are hands-on with the latest technologies.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Milburn Lewis
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI/ML technologies and frameworks mentioned in the job description. Brush up on your knowledge of cloud platforms like Azure and AWS, as well as Generative AI concepts. Being able to discuss these topics confidently will show that you’re not just familiar but passionate about the field.
✨Showcase Your Leadership Skills
As a Lead AI Architect, you'll need to demonstrate your ability to lead multidisciplinary teams. Prepare examples from your past experiences where you successfully led a project or mentored a team. Highlight how you engaged with both technical and non-technical stakeholders to drive outcomes.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving skills and strategic thinking. Think about potential AI use cases in the banking sector and how you would approach them. This will help you articulate your thought process and showcase your expertise in designing scalable architectures.
✨Engage with the Interviewers
Interviews are a two-way street! Prepare thoughtful questions about the company’s current AI initiatives and future goals. This not only shows your interest but also gives you insight into how you can contribute to their vision. Plus, it helps build rapport with the interviewers.
