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Role Overview
We are seeking an accomplished and visionary leader to assume the role of Senior Director – Agentic AI Products & Platforms, responsible for driving the strategy, architecture, and large-scale deployment of next-generation AI-native platforms built on agentic frameworks.
This role requires a rare combination of deep technical expertise, product leadership, and strategic foresight to design and operationalize intelligent systems capable of autonomous reasoning, planning, and execution. The incumbent will play a pivotal role in shaping enterprise adoption of agentic AI systems that deliver measurable business outcomes.
Key Responsibilities
Strategic Leadership
Product & Platform Ownership
Technical & Architectural Oversight
Innovation & Framework Leadership
Stakeholder Engagement
Governance, Risk & Responsible AI
Organizational Leadership
Required Qualifications
Experience
Technical Expertise
Technology & Ecosystem Exposure
Product & Business Acumen
Leadership Capabilities
Preferred Qualifications
Success Measures
Why Join Us
This is a unique opportunity to operate at the forefront of Agentic AI innovation, shaping the development of intelligent systems that redefine how enterprises operate. The role offers significant strategic visibility, the ability to influence organizational direction, and the chance to build transformative AI capabilities at scale.
Job ID: 148900987
Skills:
Slm, Togaf, AI Architecture, data management frameworks, Agentic AI architectures, vibe coding tools, multi-agent orchestration, embedding models, vector databases, Claude, Responsible AI frameworks, prompt engineering, Llm, Gen AI, Google Vertex AI, Azure AI, cloud AI platforms, OpenAI, Amazon Bedrock, RAG architectures
Skills:
.NET, Ml, Paas, Restful Api, Microservices, Angular, React, Azure, Azure DevOps, AI orchestration frameworks, GenAI, LLMs, event-driven systems, Ai, IaC, prompt engineering, GitHub Actions, enterprise integration patterns, RAG architectures
Skills:
Cursor, CrewAI, LLMOps, Claude Code, vector databases, Semantic Kernel, AutoGen, LangGraph, GitHub Copilot, evaluation pipelines, AgentKit, AI observability, RAG architectures
Skills:
data engineering , Ml, Distributed Systems, Microservices, Devops, Data Science, Apis, Prompt engineering, AI Automation, Infrastructure automation, Ai, Vector databases, GenAI, LLM APIs, Agentic workflows, Cloud-native architectures, MLOps practices, Orchestration frameworks, RAG architectures, CI CD pipelines
Skills:
Gcp, AWS, Microservices, Machine Learning, Risk-scoring environments, Cloud-native architectures, Adversarial AI Security, Multi-agent orchestration frameworks, Data platforms, Event-driven systems
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