Associate Director, AI Delivery Lead, Financial Services, Technology & Transformation

• Project Leadership: Lead and manage cross-functional AI project teams, overseeing all aspects of project delivery from initiation to deployment and ongoing support.
• Technical Expertise & Solution Design: Provide customers with deep technical expertise in Generative AI and Machine Learning technologies, designing innovative solutions that help them meet strategic business objectives
• Client Management: Build and maintain strong relationships with client stakeholders, effectively communicating project progress, managing expectations, and addressing concerns.
• Technical Expertise: Provide technical guidance and oversight to the team, ensuring the development of high-quality AI solutions that meet client requirements.
• Team Management: Mentor and develop junior team members, fostering a collaborative and high-performing team environment.
• Business Development: Support business development efforts by contributing to proposals, identifying new opportunities, and presenting AI solutions to potential clients.
• Thought Leadership: Stay abreast of industry trends and advancements in AI, contributing to Deloitte's thought leadership and knowledge sharing initiatives.

• Proven experience delivering production-ready AI/ML/LLM solutions, including model training, optimization, and deployment. Specific project examples required.
• Generative AI expertise: Experience leading the delivery of AI and LLMs in the financial service industry including: Retrieval-Augmented Generation (RAG), GraphRAG, query expansion, map reduce, maximum marginal relevance retrieval and other GenAI techniques.
• Familiarity with cloud platform providers (minimum of 1):

• AWS: Amazon SageMaker, Bedrock (Titan, Claude, etc.), CodeWhisperer, Amazon Transcribe, Amazon Comprehend, etc.
• Azure: Azure OpenAI Service (Gemini, GPT, DALL-E, Codex), Azure Machine Learning, Cognitive Services (Speech, Vision, Language), etc.
• GCP: Vertex AI (PaLM 2, other LLMs), Generative AI Studio, AI Platform, Cloud Natural Language, etc.

• Proficiency in data engineering (ETL, data warehousing, big data technologies). Experience with data quality, governance, and security in financial services is essential.
• Agile methodologies and project management tools (e.g., Jira, Azure DevOps)., * Bachelor's or Master's degree or equivalent in Computer Science, Data Science, Engineering, or a related field.
• Experience in delivering AI solutions, with a proven track record of leading and managing technical teams.
• Deep experience in the financial services industry.
• Strong communication, interpersonal, and presentation skills.
• Experience in a client-facing consulting role is highly desirable.
• Relevant industry certifications (e.g., AWS Certified Machine Learning - Specialty, Azure AI Engineer Associate, PMP) are a plus.

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