Director - Agentic AI

Deutsche Telekom Digital Labs; Gurugram District; On-site; INR 6,000,000 - 9,000,000; Full time

Job summary

Deutsche Telekom Digital Labs is seeking a seasoned director to lead the design, development, and scaling of next-gen AI systems built on LLMs, autonomous agents, and voice-driven experiences. This leadership role drives innovation at scale in a B2C/D2C product environment.

The candidate will define and execute a comprehensive Agentic AI roadmap, hire and mentor high-performing AI/ML teams, and collaborate with product and engineering leaders to deliver customer-centric AI solutions at scale.

Qualifications

• 13-18 years of experience in backend/AI engineering, with a recent focus on agentic AI/GenAI.
• Strong expertise in LLMs, LangChain (or similar), RAG architectures, and AI orchestration.
• Proven experience building scalable B2C/D2C platforms.
• Deep understanding of distributed systems, cloud, and real-time architectures.
• Hands-on leadership with the ability to go deep into system design when needed.

Responsibilities

• Define and execute the Agentic AI roadmap across products and platforms.
• Build and scale systems leveraging LLMs, RAG, multi-agent frameworks, and voice AI.
• Lead architecture for autonomous workflows, decisioning systems, and orchestration layers.
• Collaborate with Product, Data, and Engineering leaders to deliver customer-centric AI solutions.
• Hire, mentor, and grow high-performing AI/ML engineering teams.
• Drive production-grade deployments, scalability, and performance optimisation.

Skills

LLMs

LangChain

RAG

AI orchestration

Tools

GCP/AWS/Azure

Job description

We're looking for a seasoned director - agentic AI - to lead the design, development, and scaling of next-gen AI systems built on LLMs, autonomous agents, and voice-driven experiences. This is a high-impact leadership role driving innovation at scale in a B2C/D2C product environment.

Responsibilities:

• Define and execute the Agentic AI roadmap across products and platforms.


• Build and scale systems leveraging LLMs, RAG, multi-agent frameworks, and voice AI.


• Lead architecture for autonomous workflows, decisioning systems, and orchestration layers.


• Collaborate with Product, Data, and Engineering leaders to deliver customer-centric AI solutions.


• Hire, mentor, and grow high-performing AI/ML engineering teams.


• Drive production-grade deployments, scalability, and performance optimisation.

Requirements:

• 13-18 years of experience in backend/AI engineering, with a recent focus on agentic AI/GenAI.


• Strong expertise in LLMs, LangChain (or similar), RAG architectures, and AI orchestration.


• Proven experience building scalable B2C/D2C platforms.


• Deep understanding of distributed systems, cloud (GCP/AWS/Azure), and real-time architectures.


• Hands-on leadership with the ability to go deep into system design when needed.


• Experience in voice AI, conversational systems, or autonomous agents is a big plus.