Manager - Artificial Intelligence/GenAI/Agentic AI & Cloud
Impetus Career Consultants · Bengaluru · onsite · Posted 63d ago
About a minute. You'll make an account on the way through.
About this role
Key Responsibilities:
- Lead enterprise AI, Generative AI, and Agentic AI initiatives, from understanding business requirements to solution design and delivery.
- Define scalable LLM, Agentic AI, RAG, and Enterprise Knowledge architectures for business use cases.
- Drive AI transformation initiatives by identifying opportunities where AI can improve business processes, customer experience, and operational efficiency.
- Work with clients and senior stakeholders to understand business challenges, define AI opportunities, and shape suitable technology solutions.
- Lead the design of GCP / Cloud-based AI solutions and enterprise AI platforms.
- Provide technical direction across AI/ML, GenAI, data, cloud, and software engineering teams.
- Oversee end-to-end delivery of AI solutions, ensuring quality, scalability, security, and timely execution.
- Establish and drive AI Governance and Responsible AI practices across enterprise AI initiatives.
- Evaluate emerging AI technologies, models, and frameworks and recommend suitable solutions based on business requirements.
- Work closely with product, engineering, and business teams to convert AI concepts into practical, scalable, production-ready solutions.
- Manage technical discussions, solution reviews, project priorities, and stakeholder expectations throughout the delivery lifecycle.
- Mentor and develop technical teams while promoting strong architecture, engineering, and delivery practices.
- Contribute to solution proposals, client presentations, and discussions around AI strategy, architecture, and transformation.
Required Skills & Qualifications:
- 9 - 12 years of experience in AI/ML, software engineering, cloud, data, or related technology domains.
- Strong understanding of AI/ML and Generative AI with experience in enterprise implementations.
- Strong experience with Enterprise LLM Architecture, Agentic AI Architecture, RAG, and Enterprise Knowledge Architecture.
- Strong understanding of GCP / Cloud Architecture and enterprise AI platforms.
- Strong Python and Software Engineering skills.
- Experience with AI Governance, Responsible AI, security, and risk considerations.
- Strong experience in Solution Architecture and translating business requirements into technology solutions.
- Proven experience in technical leadership and delivery management.
- Strong client-facing and stakeholder management experience.
- Ability to manage multiple stakeholders and drive AI initiatives from strategy and solutioning through implementation and delivery.
- Strong communication, problem-solving, decision-making, and team leadership skills.
Good to Have:
- Vertex AI
- Gemini
- BigQuery
- GKE / Kubernetes
- Terraform
- LangGraph
- Google ADK
- OpenAI Agents SDK
- MCP / A2A
- MLOps / LLMOps
- AI Security
- AI Observability
- Enterprise Copilots
- Knowledge Graphs
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