4423307-Senior Manager

EXL Talent Acquisition Team; Pune District; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

EXL Talent Acquisition Team in Pune is seeking an senior AI Architect to define the strategy and roadmap for AI agent systems and LLM applications, and to lead multiple teams delivering cutting-edge demonstrations and production-ready capabilities.

The role emphasizes cloud-native architectures (AWS/Azure/GCP), containerization with Docker and Kubernetes, MLOps practices, API design, and collaboration with executives to shape technical direction and impact.

Qualifications

• Proven track record designing and deploying LLM systems at scale.
• Expertise in LLM fine-tuning, GPU optimization, and AI agent orchestration.
• Experience with cloud-native architectures and MLOps.
• Strong leadership and cross-functional collaboration.

Responsibilities

• Define strategy and roadmap for AI agent systems and LLM applications.
• Lead multiple teams or large-scale AI initiatives focused on fine-tuning, hybrid model integration, and autonomous agent orchestration.
• Drive adoption of frameworks like LangGraph, AutoGen, or CrewAI for complex workflows.
• Ensure architectural robustness, scalability, and resilience of AI systems in production.
• Collaborate with executive leadership, product owners, and external stakeholders on technical direction and impact.
• Establish engineering standards and mentor across levels (LAMs, Managers, Architects).

Skills

Leadership & cross-functional collab

Cloud-native architecture

API design

MLOps practices

Tools

Docker

Kubernetes

AWS

Azure

GCP

ECS

AKS

Lambda

Job description

Key Responsibilities

• Define strategy and roadmap for AI agent systems and LLM applications.
• Lead multiple teams or large-scale AI initiatives focused on fine-tuning, hybrid model integration, and autonomous agent orchestration.
• Drive adoption of frameworks like LangGraph, AutoGen, or CrewAI for complex workflows (planning, reasoning, tool use, and memory).
• Ensure architectural robustness, scalability, and resilience of AI systems in production.
• Collaborate with executive leadership, product owners, and external stakeholders on technical direction and impact.
• Establish engineering standards and mentor across levels (LAMs, Managers, Architects).

Requirements

• Expert in LLM fine-tuning, GPU optimization, and AI agent orchestration.
• Demonstrated success in designing and deploying LLM systems at scale.
• Deep understanding of cloud-native architectures (ECS, AKS, Lambda), API design, and MLOps practices.
• Strong leadership, cross-functional collaboration, and communication skills.
• Hands-on experience with at least one cloud platform: AWS, Azure, or GCP.
• Understanding of containerization (Docker) and orchestration (Kubernetes).
• Knowledge of microservices architecture and API gateways.

Nice to Have

• Experience managing budgets, vendor relationships, and high-impact cross-team projects.
• Experience with telephony APIs and platforms such as Twilio, Amazon Connect, or Genesys Cloud.
• Familiarity with AI safety, human-in-the-loop strategies, and responsible AI practices.