Capital Markets AI Transformation Lead

Connect to your Industry

Deloitte's AI & Data Financial Services team is at the forefront of transforming the financial service industry by empowering clients to harness cutting‑edge AI solutions and data analysis and management programmes. As part of this team, practitioners are instrumental in designing and developing innovative solutions that address real‑world challenges and unlock new opportunities for financial services organisations. This involves close collaboration with stakeholders, building robust pipelines, and continuously advancing expertise in AI to drive continuous growth and innovation, from initial strategy to implementations to optimisation. This work directly supports the diverse needs of the entire financial services industry.

The AI & Data team's capabilities are crucial in optimising and transforming core operations across various segments, including banking, insurance, capital markets, and investment and wealth management. By applying deep industry experience and AI expertise, the team helps financial services clients solve complex operational, technical, and regulatory problems. This enables them to re‑engineer processes, enhance customer experiences, drive growth, and create lasting value across their entire business, thereby shaping the future of finance through intelligent automation and data‑driven insights.

The team's comprehensive approach extends beyond specific sub‑sectors, enabling financial services clients to achieve significant advancements in areas such as risk management, fraud detection, customer engagement, and operational efficiency. By integrating advanced AI and machine learning capabilities, Deloitte helps organisations not only navigate the complexities of a rapidly evolving market but also gain a competitive edge. This involves leveraging data to inform strategic decisions, automate intricate processes, and ensure compliance with ever-changing regulatory landscapes, ultimately positioning clients to innovate and thrive in the digital age.

Connect to your career at Deloitte

Deloitte drives progress. Using our vast range of expertise, we help our clients become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more. What brings us all together at Deloitte? It's how we approach the thousands of decisions we make every day. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, we lead the way, serve with integrity, take care of each other, foster inclusion, and collaborate for measurable impact. These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most.

Connect to your opportunity

As an AI Engineer, your role will be to develop the AI engineering strategy, supporting our Capital Markets clients to design, implement, and operate scalable AI solutions across their businesses, playing a critical role in designing, implementing, and integrating AI solutions with existing enterprise systems. As a Senior Manager, 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 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 and senior Deloitte AI engineers into a delivery and implementation roadmap, ensuring alignment with strategic goals and digital transformation efforts.
• Collaborating with Enterprise, Application, Data, and DevOps Architects, Data Scientists, MLOps and GenAI Architects, and Business teams to pilot use cases and discuss engineering design and implementation.
• Selecting appropriate technologies from a pool of open‑source and commercial offerings, considering deployment models and integration with existing tools.
• Supporting 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.
• Assisting project teams with technical review boards and design authority approvals, ensuring compliance with data privacy, security and regulatory requirements in AI solution design and implementation.
• Developing and maintaining contact with client stakeholders and contributing to proposal development.
• 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.

Connect to your skills and professional experience

As a Senior Manager, you will need to:

• Have software/data engineering with a focus on applied AI engineering, using Python and SQL (ML engineering experience preferred).
• Demonstrate experience across the Financial Services industry, with a primary focus on the Capital Markets sector.
• Have experience designing Agentic AI solutions, managing and sequencing scope, estimating the build effort and dependencies, and thinking commercially about AI systems to estimate or measure return on investment.
• Have exposure to software delivery methodologies and tooling – Agile/SaFe, Extreme Programming, Jira, Confluence, Linear, Monday.
• Demonstrate experience of LLM fundamentals: prompt engineering, fine‑tuning, embedding models and RAG patterns.
• Demonstrate experience working with at least one vector database product (e.g. Pinecone), experience working with an agent framework (e.g. LangChain, LangGraph, Agent Development Kit), and experience using MCP.
• Be knowledgeable in designing and building evaluation frameworks for agentic systems and comfortable building API‑enabled backend services (e.g. FastAPI).
• Demonstrate a strong understanding of modern data architectures, and be able to proactively identify technical and delivery risks.
• Be comfortable using common CI/CD tooling, including setting up CI/CD pipelines for ML Engineering or Agent Development.
• Demonstrate MLOps or LLMOps knowledge and experience.
• Demonstrate experience working with at least one hyperscaler stack, cloud certifications preferred (AWS, Azure, GCP, or Databricks).
• 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 contribute to go‑to‑market activities such as bids, responding to requests for proposal, and on developing high‑quality proposal materials.

Our hybrid working policy

You’ll be based in London with hybrid working. At Deloitte we understand the importance of balancing your career alongside your home life. That’s why we’ll support you to work flexibly through our hybrid working policy. Depending on the requirements of your role, you’ll have the opportunity to work in your local office, virtual collaboration spaces, client sites and remotely. You’ll get the chance to meet face‑to‑face when needed, while you collaborate and learn from colleagues, share your experiences, and build the relationships that will fuel your career and prioritise your wellbeing.