at Capgemini
ConsultanciesPosted 13 days ago
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The Account Chief Architect overseas AI/GenAI strategy, defining and implementing governance frameworks, and designing end-to-end GenAI architectures. This senior role requires extensive experience across multi-cloud platforms like Azure AI services and GCP AI APIs, proven expertise in AI/ML and GenAI tools, and a history of driving AI adoption programs. Candidates should be adept at translating business problems into AI solutions, communicating complex AI concepts, and leading end-to-end execution of AI projects. This role involves close collaboration with business leaders and engineering teams, and demands strong delivery tracking and oversight. Key responsibilities include defining and managing reference architectures, design standards, and AI governance. Proficiency in cloud-native services, vector databases, embeddings, and agentic AI frameworks is essential.
- Compensation
- Not specified
- City
- Mumbai
- Country
- India
Currency: Not specified
Full Job Description
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
