Manager, AI Engineer, Banking, AI Scaling & Transformation, AI & Data

• 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 training and formal development programmes on the job.

As an AI Engineer, your role will be to develop the AI engineering strategy, supporting our Banking 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., * Proven experience of software/data engineering with proven track record focused 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 Banking sector.
• Have experience designing Agentic AI solutions, managing and sequencing scopes, 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 1 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 abel 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 1 hyperscaler stack, cloud certifications preferred (AWS, Azure, GCP, or Databricks).
• Demonstrate senior stakeholder management skills and collaborate effectively with multidisciplinary teams.
• Show and 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 proposals, and developing high-quality proposal materials.

Deloitte drives progress. Our firms around the world help our clients become market leaders wherever they compete. Deloitte invests in outstanding people with diverse talents and backgrounds, empowering them to achieve more than they can elsewhere. Our work combines consulting with action and integrity. We believe that when our clients and society are stronger, so are we.