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

Associate Director, Gen AI Architect – Energy, Resources & Industrials (ER&I)

We seek an experienced professional to join our AI & Data team. This role is pivotal in driving the adoption and implementation of Gen AI solutions within the ER&I sector.

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 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 and architectures.

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

Essential

• 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 Gen AI, AI, or Enterprise Architecture, ideally within consulting or industry.
• Strong Problem‑Solving & Analytical Skills: Excellent problem‑solving and analytical skills applied to complex Gen AI 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 Gen AI solutions, including areas such as:

• 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.

Desirable

• 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).
• Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.
• 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.
• Multimodal & Code Generation: Architected GenAI for multimodal (vision, audio, language) & code generation.
• 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.

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