At a Glance
- Tasks: Lead AI architecture strategy for Capital Markets clients and design innovative AI solutions.
- Company: Join a forward-thinking firm at the forefront of AI in finance.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on team development and inclusivity.
- Why this job: Shape the future of AI in finance and make a real impact on client success.
- Qualifications: Extensive experience in AI architecture and strong communication skills required.
The predicted salary is between 80000 - 100000 £ per year.
As a Lead AI Architect, your role will be to own the AI architecture strategy, supporting our Capital Markets clients to design, implement and operate scalable architectures that support the effective deployment of AI models, playing a critical role in designing and delivering innovative architectures that seamlessly integrate AI solutions with existing systems.
As an Associate Director, you will be an exceptional communicator, able to articulate complex technical concepts to both technical and non‑technical stakeholders with ease. You will have a strong ability to collaborate and work effectively in a team environment, leveraging the strengths of others to achieve common goals, and you will be outcome focused and have a desire to be pragmatic in your approach to designing and delivering high‑quality solutions that meet or exceed client expectations.
Key Responsibilities
- Translating the vision of senior client stakeholders into the AI/ML/GenAI architectural strategy and implementation roadmap, ensuring alignment with strategic goals and digital transformation efforts.
- Providing recommendations on the suitability of AI/ML initiatives and use cases for scaling across our client organisations.
- Designing, recommending, and implementing end‑to‑end architectures that seamlessly integrate AI/ML solutions with existing client systems.
- Collaborating with Enterprise, Application, Data, and DevOps Architects, Data Scientists, MLOps and GenAI Engineers, and Business teams to pilot use cases and discuss architectural design.
- Selecting appropriate technologies from a pool of open‑source and commercial offerings, considering deployment models and integration with existing tools.
- Being responsible for the successful execution and operational improvement of AI‑powered applications using agile methodology.
- Working closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations.
- Developing and maintaining contact with top decision makers, lead proposal development, and contribute to pricing strategies.
- Managing diverse teams within an inclusive team culture where people are recognised for their contribution and developing the capability of junior team members through 'on the job' training and formal development programmes.
Qualifications and Experience
- Have extensive experience in architecture related disciplines.
- Demonstrate experience across the Financial Services industry, with a primary focus on the Capital Markets sector.
- Demonstrate experience in implementing cloud‑based AI/ML workloads across one or more CSPs or third‑party vendor technologies, including Google PaLM and Vertex AI, Azure OpenAI Services and AzureML, AWS Bedrock and Sagemaker, Dataiku, Databricks, Snowflake SnowPark and Snowflake Cortex, Data Robot.
- Demonstrate experience in architecting scalable, performant, and cost optimized AI/ML solutions leveraging serverless technologies, container/Kubernetes based deployments, GPU compute infrastructure.
- Have a working knowledge of generative AI and hands on experience in deploying and hosting Large Foundational Models.
- Demonstrate experience with LLM architecture (e.g., Transformer, GANs, VAEs), fine‑tuning, Retrieval Augmented Generation techniques and context embedding, vector database technologies and Semantic Search techniques and tools.
- Demonstrate experience in writing robust and efficient code in Python and have experience in using tools related to deep learning like PyTorch, TensorFlow, LangChain.
- Have experience in designing and implementing key MLOps capabilities and frameworks in delivering robust train, test, monitor and improve lifecycles for AI/ML model deployments.
- Demonstrate knowledge in developing and integrating APIs especially related to serve ML models and on building solutions that are integrated with the enterprise to deliver end‑to‑end solutions, including an ability to recommend different options and advice what is right for the use case.
- Have experience in working within an architecture function and presenting architectural designs to a variety of stakeholders (incl. Technical Design Authorities or Architecture Boards).
- Demonstrate senior stakeholder management skills and collaborate effectively with multidisciplinary teams.
- Show an ability to bring teams together and lead technical programmes to drive success through applying coaching, facilitation, stakeholder management and expectation management capabilities.
- Have strong communication and collaboration abilities, with the capability to work effectively with cross‑functional teams and stakeholders.
- Be able to lead 'go‑to‑market' activities such as bids, responding to requests for proposal, and on developing high‑quality proposal materials.
Location and Working
Based in London with hybrid working. Hybrid working supports flexible remote and office collaboration aligned with role requirements.
Associate Director, AI Solution Architect, Capital Markets, Strategy, Governance & Architecture, AI employer: Hm Revenue & Customs (Hmrc)
As a leading employer in the Capital Markets sector, we offer an innovative and inclusive work culture that values collaboration and professional growth. Our hybrid working model in London provides flexibility while fostering teamwork, allowing you to engage with top decision-makers and contribute to cutting-edge AI solutions. With a strong focus on employee development through formal training and mentorship, we empower our team members to excel in their careers and make a meaningful impact in the industry.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Associate Director, AI Solution Architect, Capital Markets, Strategy, Governance & Architecture, AI
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the Capital Markets and AI space. Attend industry events, webinars, or even local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your AI architecture projects, especially those relevant to Capital Markets. Use platforms like GitHub to showcase your code and solutions. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex AI concepts in simple terms. Remember, you’ll be talking to both technical and non-technical stakeholders, so being clear and concise is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people. So, get clicking and let’s make it happen!
We think you need these skills to ace Associate Director, AI Solution Architect, Capital Markets, Strategy, Governance & Architecture, AI
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in AI architecture, especially within Capital Markets. We want to see how your skills align with our needs, so don’t hold back on showcasing relevant projects!
Showcase Your Communication Skills:As a Lead AI Architect, you'll need to communicate complex ideas clearly. Use your application to demonstrate your ability to articulate technical concepts in an understandable way. We love seeing examples of how you've done this in the past!
Highlight Team Collaboration:We value teamwork at StudySmarter, so be sure to mention your experiences working with diverse teams. Share specific instances where you collaborated effectively to achieve common goals, as this is key for us.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at Hm Revenue & Customs (Hmrc)
✨Know Your AI Architecture Inside Out
Make sure you have a solid grasp of AI architecture principles, especially in the context of Capital Markets. Be ready to discuss specific technologies you've worked with, like Google PaLM or Azure OpenAI Services, and how they can be integrated into existing systems.
✨Communicate Complex Ideas Simply
As an Associate Director, you'll need to explain intricate technical concepts to both tech-savvy and non-technical stakeholders. Practice articulating your thoughts clearly and concisely, using relatable examples to bridge the gap between technical jargon and everyday language.
✨Showcase Your Collaborative Spirit
Highlight your experience working in diverse teams. Be prepared to share examples of how you've collaborated with Data Scientists, MLOps Engineers, and other stakeholders to achieve common goals. Emphasise your ability to leverage team strengths for successful project outcomes.
✨Prepare for Ethical AI Discussions
Given the importance of ethical AI implementation, brush up on current regulations and best practices. Be ready to discuss how you've addressed security and risk concerns in past projects, ensuring compliance while delivering innovative solutions.
