Associate Director, Data Science/Gen AI Lead – ER&I Full Time

Aberdeen, Aberdeenshire
Deloitte LLP

We seek an experienced Associate Director, Gen AI Architect, specialising in the Energy, Resources & Industrials (ER&I) sector, to join our AI & Data team. This role is pivotal in driving the adoption and implementation of Gen AI solutions within ER&I.

Generative AI is transforming ER&I, offering unprecedented opportunities for optimization, enhanced decision-making, and new revenue streams. A robust Gen AI strategy is crucial for realizing this potential and gaining a competitive advantage. Our team delivers cutting-edge Gen AI solutions enabling ER&I clients to thrive.

ER&I organizations are adopting innovative approaches to model building, customization, and data management, including transfer learning and robust data governance. A well-designed Gen AI platform is at the heart of our clients’ GenAI CoE strategy. The Associate Director, Gen AI Architect role is crucial to shaping and executing this vision.

Our AI & Data team specializes in implementing Gen AI solutions that drive tangible value for ER&I clients by:

• Identifying Gen AI opportunities aligned with client strategy.
• Gathering detailed requirements.
• Designing scalable Gen AI platforms & architectures.

Join Deloitte for exceptional training, growth, and a dynamic team environment. We encourage flexible working arrangements. If this opportunity interests you, please discuss it with us.

Responsibilities

• Designing Gen AI Architectures: Define end-to-end Gen AI architectures aligned with client business objectives and technology strategies.
• Advising on Gen AI Applications: Guide ER&I clients on leveraging Gen AI to address their challenges and objectives.
• Establishing Common AI Language: Foster executive-level discussions to establish a common understanding of AI/Gen AI terminology.
• Creating Gen AI Roadmaps: Develop strategic roadmaps for Gen AI capabilities to generate value from data and AI.
• Assessing Systems & Proposing Solutions: Evaluate existing systems and recommend target Gen AI architectures using AI technologies and cloud platforms.
• Leading & Mentoring Teams: Lead diverse global teams, fostering an inclusive and valued team culture.
• Managing Stakeholders & Change: Support change management processes to ensure successful Gen AI adoption.
• Developing Market Offerings: Assist in developing market-leading Gen AI solutions and proposals.
• Contributing to AI Community: Contribute to the development and growth of our AI and Data Architecture community.
• Driving Project Delivery: Drive client project delivery by owning workstreams and ensuring successful engagements.
• Developing Team Members: Develop junior team members through on-the-job training.

Qualifications

• Consulting or ER&I Experience: Client-facing project experience in consulting or direct ER&I industry roles. Proven contribution to proposals, presentations, pre-sales, and opportunity development.
• ER&I Industry Domain Knowledge: In-depth expertise in ER&I functional areas (Engineering, Operations, Sustainability, Regulatory Compliance, etc.).
• Deep GenAI Architecture Expertise: Extensive technical architecture experience in GenAI, AI, or Enterprise Architecture, ideally within consulting or industry.
• Strong Problem-Solving & Analytical Skills: Excellent problem-solving and analytical skills applied to complex GenAI challenges.
• Executive Stakeholder Management: Strong executive-level stakeholder management and communication skills; ability to build robust client relationships.
• Leadership & Team Development: Proven leadership in building and developing high-performing, diverse GenAI architecture teams, nurturing junior talent.
• Designing & Implementing Complex GenAI Solutions: Excellent understanding and experience designing and implementing complex GenAI solutions, including several of the following areas:
  • GenAI model integration & deployment.
  • Prompt engineering & model customization.
  • AI/GenAI governance & ethics (bias detection, explainability).
  • GenAI Platform & Infrastructure Architecture (Cloud, Lakehouse).
  • GenAI ModelOps & Performance Monitoring.
  • AI-driven business intelligence & reporting.
  • Observability & FinOps for AI/GenAI.
  • Cloud Infrastructure, Networking, & Security for AI.
• Aligning GenAI Architectures Across Organizations: Experience aligning GenAI architecture blueprints across business units and geographies with peers and senior architects.
• Presenting GenAI Architectural Designs: Experience presenting GenAI architectural designs to diverse stakeholders, including technical authorities and architecture boards.
• Architectural Evaluation of GenAI Systems: Experience evaluating, designing, and analysing enterprise-wide systems incorporating GenAI, both on-premise and cloud-based.
• Defining Business Outcomes for GenAI Programs: Experience engaging with business and IT stakeholders to document business outcomes and objectives for large-scale GenAI solutions and programs.
• Technology & Platform Recommendations for GenAI: Ability to identify requirements, analyse technology alternatives, and recommend build vs. buy for GenAI platforms and solutions.
• Facilitating GenAI Discovery & Design Workshops: Proven ability to conduct effective discovery and design workshops focused on GenAI solutions.
• Rapid Learning & Application of GenAI: Demonstrates ability to quickly learn and apply new GenAI techniques and knowledge to achieve business outcomes.
• Leading Resilient GenAI Project Teams: Experience leading multi-disciplinary teams in fast-paced GenAI projects; demonstrates personal resilience.
• Go-to-Market & Proposal Development for GenAI: Ability to lead go-to-market activities, including RFI/RFP responses and developing high-quality GenAI-focused proposals.
• GenAI Design Leadership: Led technical design authorities for strategic GenAI adoption.
• Strategic GenAI Platform Selection: Strategic GenAI platform/tool evaluation & selection skills.
• Leading GenAI Trends: Up-to-date on emerging GenAI technologies & standards.
• AI Regulatory Landscape (ER&I): Understands AI regulations; ensures project compliance.
• Cloud & Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures.
• GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI)
• Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications.
• GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps knowledge with ethical AI governance focus.
• ER&I GenAI Applications: Applied GenAI to ER&I use cases to create business value.
• Enterprise Software Integration: Designed GenAI integrations with SaaS/ERP for business process automation.
• GenAI Impact Reporting: Designed advanced reporting for measuring GenAI impact and actionable insights.
• Strategic Project Sizing: Proven strategic project sizing/shaping for large Gen AI programs in ER&I.
• Global Team Leadership: Managed global/offshore teams effectively for Gen AI projects.
• Agile Delivery & Client Engagement: Agile project management expertise for rapid GenAI solution delivery; led client workshops.