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Director - Platform Deployment and Management

Director - Platform Deployment and Management

Cognizant

12 years

0 Lacs

chennai tamil nadu india

Posted:1 week ago| Platform:

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Skills Required

deployment management ai technology architecture training data engineering vision design model versioning aws gcp azure code terraform integration scaling reliability annotation drive security leadership devops automation engagement estimation service kubernetes mlflow airflow tuning

Work Mode

On-site

Job Type

Full Time

Job Description

Role Summary

The Director of AI Platform & MLOps is a critical, hands-on technology leader responsible for the architecture, execution, and day-to-day management of the infrastructure powering our AI Training Data Services. You will lead a world-class team of engineers to build, scale, and operate a robust, secure, and highly automated platform. This role requires a deep technical background in cloud infrastructure, MLOps, and large-scale systems, combined with proven experience in leading high-performing engineering teams.

Responsibilities

Technical Execution & Architecture:

Translate the long-term vision into an executable technical roadmap, making key architectural decisions for the platform.
Lead the hands-on design and implementation of our MLOps/LLMOPs framework, including CI/CD for models, data/model versioning, automated workflows, and monitoring.
Engineer and manage a scalable, multi-cloud infrastructure (AWS/GCP/Azure) using Infrastructure as Code (IaC) principles (Terraform, CloudFormation).
Oversee the technical integration, scaling, and reliability of data annotation platforms and the GIG worker technology layer.
Drive SRE best practices to ensure high availability, performance, and security of the entire platform.

Team & Operational Leadership

Recruit, lead, mentor, and directly manage a team of Cloud, DevOps, MLOps, and Site Reliability Engineers.
Foster a culture of technical excellence, automation, and accountability within the engineering team.
Manage the day-to-day project timelines, resource allocation, and operational activities to ensure successful platform delivery.
Implement and optimize the cloud budget (FinOps) for your domain, ensuring cost-effective scaling.

Stakeholder & Client Engagement

Act as the primary technical expert in project-level discussions with clients, providing detailed solutioning and estimation for new deals.
Collaborate closely with product management and service delivery teams to ensure the platform meets their requirements.

Skills & Qualification

Experience: 12+ years in platform engineering or DevOps, with at least 4 years in a leadership role directly managing engineering teams.
Cloud Architecture Mastery: Deep, hands-on experience designing and managing complex infrastructure on AWS, GCP, or Azure. Expertise with Kubernetes (EKS, GKE, AKS), serverless, and core cloud services.
Expertise in MLOps/LLMOPs: Demonstrable, in-depth implementation experience with the full MLOps lifecycle (e.g., Kubeflow, MLflow, Seldon, DVC, Airflow) and infrastructure for LLMs (Vector DBs, fine-tuning environments).
Infrastructure as Code (IaC): Strong, hands-on proficiency with Terraform or CloudFormation is a must.
Technical Leadership: Proven ability to lead, mentor, and scale a technical team, driving projects from conception to production.
Problem Solving: Exceptional ability to debug and solve complex technical issues in a distributed systems environment.

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Director - Platform Deployment and Management