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 technologies.
- Qualifications: Extensive experience in AI architecture and enterprise technology delivery.
The predicted salary is between 100000 - 150000 € 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.
- 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 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 practices, we empower our team to make a meaningful impact while enjoying a supportive environment that values diverse perspectives.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Architect - Capital Markets/Banking - Global Consulting Firm
✨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 have a lead on your dream job or can introduce you to someone who does.
✨Showcase Your Expertise
Create a portfolio that highlights your AI architecture projects and successes. Use platforms like GitHub to share your code or case studies that demonstrate your skills. This will make you stand out when chatting with potential employers.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios specific to AI architecture in financial services. Be ready to discuss your past experiences and how they relate to the role. Confidence is key, so rehearse until you feel comfortable!
✨Apply Through Our Website
Don’t forget to check out our website for the latest job openings! Applying directly through us not only shows your interest but also gives you a better chance of being noticed by our hiring team.
We think you need these skills to ace Lead AI Architect - Capital Markets/Banking - Global Consulting Firm
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead AI Architect role. 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 explain why you're passionate about AI and how your background makes you the perfect fit for this role. Don’t forget to mention your leadership experience and stakeholder engagement skills.
Showcase Your Technical Expertise:In your application, be sure to showcase your technical expertise in AI/ML architecture and any specific technologies you've worked with, like Azure or AWS. We love seeing concrete examples of how you've delivered innovative solutions in the past!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, we love seeing applications come directly from our site!
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 strong leadership abilities. Prepare examples from your past experiences where you’ve successfully led teams or projects. Highlight how you’ve mentored others and driven collaborative efforts, especially in fast-paced environments.
✨Engage with Stakeholders
Since stakeholder engagement is key for this role, think of ways to illustrate your communication skills. Prepare to discuss how you’ve effectively communicated complex technical concepts to non-technical stakeholders. This will help convey your ability to bridge the gap between tech and business.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think through potential AI use cases in banking or capital markets and be ready to propose innovative solutions. This will demonstrate your strategic thinking and ability to align AI initiatives with business goals.
