26 Oct
|
Accenture
|
India
AI Strategy Senior Manager - Updated Job Title: Ind & Func AI Strategy Senior Manager - Agentic AI & Enterprise Intelligence
Management Level: 6 - Senior Manager
Location: Mumbai / Gurugram / Bangalore
Must Have Skills
- AI Strategy
- Enterprise AI Transformation
- Generative AI
- Agentic AI
- Large Language Models (LLMs)
- Multi-Agent Systems
- Model Context Protocol (MCP)
- AI Solution Architecture
- Enterprise Architecture
- AI Delivery Leadership
- AI Program Management
- AI Governance
- AI Agent Orchestration
- LangGraph
- AI Refinery
- Retrieval-Augmented Generation (RAG)
- Azure AI Foundry
- Azure OpenAI
- Python
- SQL
- Executive Stakeholder Management
Valuable to Have Skills
- LangChain
- LlamaIndex
- AutoGen
- CrewAI
- Semantic Kernel
- Azure AI Search
- Azure Functions
- Microsoft Graph API
- ServiceNow Integration
- Splunk
- Microsoft Teams Integration
- Vector Databases
- Docker
- Kubernetes
- Azure DevOps
- CI/CD
- MLOps
- Responsible AI
- AI Guardrails
- AI Evaluation Frameworks
- Observability
- Git
- Cloud Platforms (Azure, AWS, GCP)
Experience Minimum 10 years leading enterprise AI strategy, architecture, solutioning, and delivery within consulting or client environments, with demonstrated success driving large-scale AI transformation programs across industries.
Educational Qualification Bachelor's or Master's degree (BE/BTech/MTech/MS/MBA) in Computer Science, Engineering, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Data Science, or a related discipline from a reputed institution.
Job Summary As an AI Strategy Senior Manager, you will define and lead enterprise AI transformation strategies, architect large-scale Generative AI and Agentic AI platforms,
and oversee delivery of complex AI programs across industries. You will serve as a trusted advisor to executive stakeholders, shape AI roadmaps, establish governance and operating models, and lead multidisciplinary teams delivering production-grade AI solutions leveraging LLMs, Multi-Agent Systems, MCP, RAG, Azure AI Foundry, and enterprise integrations such as ServiceNow, Microsoft Graph, Microsoft Teams, Splunk, and Azure services.
Roles &
• ResponsibilitiesStrategic Leadership &
• AI Transformation
- Define enterprise AI vision, strategy, operating models, and transformation roadmaps.
- Lead end-to-end AI programs from strategy, business case, PoC, pilot, and production deployment.
- Establish reusable AI platforms, accelerators, governance frameworks, and delivery standards.
- Drive AI innovation and investment aligned with client business objectives.
Client &
• Executive Advisory
- Act as a trusted advisor to C-suite executives on AI strategy and enterprise transformation.
- Lead executive workshops, solutioning sessions, value realization discussions, and steering committees.
- Support business development, proposals, AI assessments, and large transformation pursuits.
Enterprise AI Architecture &
• Delivery
- Provide architecture leadership for Agentic AI, Multi-Agent Systems, MCP, RAG, LLM fine-tuning, and enterprise AI platforms.
- Oversee enterprise integrations with ServiceNow, Microsoft Graph, Microsoft Teams, Splunk, Azure AI Services, Azure Functions, and business applications.
- Ensure delivery excellence, scalability, security, Responsible AI, observability, and production readiness.
People Leadership &
• Capability Building
- Build, mentor, and grow high-performing AI consulting and engineering teams.
- Develop AI capabilities, reusable assets, reference architectures, and organizational best practices.
- Sponsor innovation initiatives and AI Centers of Excellence.
Thought Leadership
- Represent the organization in executive forums, industry events, whitepapers, and client innovation programs.
- Drive adoption of emerging AI technologies and define enterprise AI standards.
Professional &
• Technical Skills
Must Have
- Enterprise AI Strategy
- AI Transformation
- Generative AI
- Agentic AI
- Large Language Models (LLMs)
- Multi-Agent Systems
- Model Context Protocol (MCP)
- AI Solution Architecture
- Enterprise Architecture
- AI Delivery Leadership
- AI Governance
- AI Agent Orchestration
- LangGraph
- AI Refinery
- Retrieval-Augmented Generation (RAG)
- Azure AI Foundry
- Executive Stakeholder Management
Cloud & Infrastructure
- Azure AI Foundry
- Azure OpenAI
- Azure AI Search
- Azure Functions
- Azure DevOps
- Docker
- Kubernetes
- CI/CD
- MLOps
- Git
- Cloud Platforms (Azure, AWS, GCP)
Enterprise AI Technologies
- ServiceNow
- Microsoft Graph API
- Microsoft Teams
- Splunk
- Vector Databases
- Enterprise API Integration
- MCP Servers
- AI Guardrails
- Responsible AI
- AI Evaluation Frameworks
- AI Observability
Locations: Job No. R00349770 | Mumbai
📌 S&C Global Network - AI - CDI -Agentic AI - Senior Manager (India)
🏢 Accenture
📍 India