Senior Director - Agentic AI

We are looking for a Senior Director - Agentic AI to lead the strategy, architecture, and execution of next-generation AI-powered platforms. This is a high-impact leadership role for someone who can define technical vision while remaining hands-on with architecture, AI systems, and critical engineering decisions.

The ideal candidate will have deep expertise in agentic AI, large language models (LLMs), retrieval-augmented generation (RAG), and deploying production-ready AI applications at scale. You will lead high-performing engineering teams, drive AI-first development practices, and build scalable products serving millions of users.

Responsibilities:

• Define and execute the engineering vision for Agentic AI platforms and AI-powered products.
• Build and scale production-grade AI solutions using LLMs, RAG, AI agents, and multi-agent systems.
• Drive AI-first software development by adopting coding agents, AI-assisted testing, and AI-powered development workflows.
• Lead architecture reviews and establish engineering standards for cloud-native, distributed systems.
• Design scalable, secure, and highly available AI platforms capable of serving large-scale B2C applications.
• Partner with Product, Design, and Business teams to align technology strategy with business objectives.
• Mentor engineering leaders and build a culture of ownership, innovation, and technical excellence.
• Evaluate emerging AI technologies and implement solutions that improve engineering productivity and product quality.
• Ensure AI systems are production-ready with strong observability, security, governance, and compliance.

Requirements:

• 17-22 years of software engineering experience with significant engineering leadership experience.
• Strong expertise in agentic AI, LLMs, RAG, and production-ready AI systems.
• Experience building and deploying AI-powered applications at enterprise or internet scale.
• Strong understanding of AI orchestration frameworks, prompt engineering, and AI workflows.
• Hands-on experience with cloud-native architecture, microservices, Kubernetes, containers, and distributed systems.
• Expertise in designing highly scalable APIs, data platforms, and resilient backend systems.
• Strong knowledge of Python and modern AI development ecosystems.
• Experience leading engineering organizations delivering high-scale B2C products.
• Excellent stakeholder management and cross-functional leadership skills.

Preferred Skills:

• Experience with multi-agent frameworks such as LangGraph, CrewAI, AutoGen, or similar.
• Exposure to vector databases (Pinecone, Weaviate, Milvus, FAISS).
• Experience with OpenAI, Azure OpenAI, Google Vertex AI, or AWS Bedrock.
• Telecom, FinTech, e-commerce, or other large-scale consumer platform experience is preferred.
• Familiarity with GDPR and enterprise AI governance.