Account Chief architect

Primary Skills

• Define and implement AI governance frameworks covering security, compliance, and ethics 
• Develop and track enterprise AI/GenAI roadmap, adoption strategy, and maturity models 
• Identify high-impact use cases (automation, copilots, agents, knowledge systems)
• Design end-to-end GenAI architectures across Azure or GCP ecosystems, including RAG pipelines, vector databases, embeddings, and agentic AI frameworks
• Architect scalable AI solutions leveraging API integrations, orchestration layers, and cloud-native services (Azure, GCP)
• Extensive experience across multi-cloud platforms including Azure AI services (Azure OpenAI, Cognitive Services, ML Studio) or GCP (Vertex AI, AI APIs, BigQuery ML)
• Strong expertise in AI/ML and GenAI tools such as OpenAI, LangChain, Semantic Kernel, Vertex AI Agents, Hugging Face, vector databases (Pinecone, FAISS, Azure AI Search), and MLOps frameworks
• Translate business problems into AI solutions with clear TCO/ROI and KPI frameworks
• Communicate complex AI concepts to leadership and clients in simple business terms
• Drive AI adoption programs with training, change management, and stakeholder alignment
• Lead end-to-end execution (PoCs → pilots → enterprise rollout) and scale Agentic AI solutions
• Work with business leaders and engineering teams to execute AI solutions at scale
• Collaborate within the Capgemini ecosystem to leverage best assets and accelerators
• Define and manage reference architectures, design standards, and AI governance
• Develop executive dashboards (KPIs, ROI tracking) and ensure strong delivery tracking and oversight