Anna Nagar Chennai Tamil Nadu Systems engineer data devops/mlops Jobs – 39 Open Jobs Today

GCP Gemini Enterprise Platform Architect
EPAM Systems, Inc. —Chennai, Tamil Nadu
- Machine learning
- APIs
- AI
- Health insurance
- Paid time off
1d
Data Architect
Accenture —Chennai, Tamil Nadu
- Full-time
- Computer science
- Doctoral degree
- Computer Science
8d
AI Technical Manager
Kumaran Systems —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- DevOps
Senior Digital Innovation Engineer - Data Science
Buckman —Chennai, Tamil Nadu
- Full-time
- Azure
- Doctoral degree
- Computer Science
Data Science Engagement Lead
Shell —Chennai, Tamil Nadu
- Full-time
- Azure
- Salesforce
- Master's degree
Large Language Model Architect
Accenture —Chennai, Tamil Nadu
- Full-time
- Computer science
- Doctoral degree
- Computer Science
8d
MLOps Architect
EPAM Systems, Inc. —Chennai, Tamil Nadu
- Azure
- Computer Science
- Machine learning
- Health insurance
- Paid time off
Senior Software Engineer, AI/ML
ValGenesis —Chennai, Tamil Nadu
- Full-time
- Computer Science
- DevOps
- Machine learning
Quick apply
Gen AI Lead
Orion Innovation —Chennai, Tamil Nadu
- Full-time
- Azure
- Doctoral degree
- Computer Science
Gen AI Lead
Orion Innovation Naukri —Chennai, Tamil Nadu
- Full-time
- Azure
- Doctoral degree
- Computer Science

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GCP Gemini Enterprise Platform Architect

EPAM Systems, Inc. -
Chennai, Tamil Nadu

Apply Now

Job details

1 day ago

Benefits

Health insurance
Paid time off

Qualifications

CI/CD
Cloud architecture
Kubernetes
Google Cloud Platform
Machine learning
Terraform
Continuous integration
APIs
AI
Identity & access management

Full job description

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking an experienced GCP Gemini Enterprise Platform Architect to define, build, and support an enterprise-scale agentic AI platform on Google Cloud Platform, driving architecture decisions across infrastructure, security, and AI services while enabling business-critical use cases.

Responsibilities

Define the architecture and technical roadmap for an enterprise agentic AI platform on GCP
Set up and configure Gemini Enterprise, the Gemini Enterprise Agent Platform, and supporting GCP AI services
Design and configure the infrastructure, compute, networking, security, and data layers required for the platform
Enable enterprise connectors, integrations, data access, and onboarding of applications and AI agents
Establish standards for agent deployment, lifecycle management, monitoring, governance, and access control
Architect and support containerized AI workloads using GKE and the associated compute stack
Provide technical guidance, proactive service support, and first-level assistance for critical platform incidents
Collaborate with business, security, data, and engineering teams to deliver lead qualification and customs and clearance agentic AI use cases

Requirements

13-20 years of experience in software engineering
Expertise in architecting enterprise-scale solutions on Google Cloud Platform
Proficiency in Gemini Enterprise, Gemini models, Vertex AI, or the broader GCP Generative AI ecosystem
Strong knowledge of GCP infrastructure, IAM, networking, security, governance, and observability
Experience designing or implementing agentic AI platforms and managing AI agents at scale
Strong expertise in GKE, Kubernetes, containers, and cloud-native compute platforms
Experience configuring AI platform infrastructure, data layers, connectors, APIs, and enterprise integrations
Knowledge of Terraform, CI/CD, MLOps, or LLMOps practices within GCP environments
Google Cloud certification such as Professional Cloud Architect, Professional Cloud DevOps Engineer, or Professional Machine Learning Engineer

Nice to have

Prior experience with Gemini Enterprise connectors and integrations
Background in production support for enterprise AI platforms
Familiarity with agentic AI use cases such as lead qualification or customs and clearance

We offer

Opportunity to work on technical challenges that may impact across geographies
Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
Opportunity to share your ideas on international platforms
Sponsored Tech Talks & Hackathons
Unlimited access to LinkedIn learning solutions
Possibility to relocate to any EPAM office for short and long-term projects
Focused individual development
Benefit package:
- Health benefits
- Retirement benefits
- Paid time off
- Flexible benefits
Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

Apply Now

Refine Your Search

systems engineer data devops/mlops jobs in anna nagar chennai tamil nadu

GCP Gemini Enterprise Platform Architect

Data Architect

AI Technical Manager

Senior Digital Innovation Engineer - Data Science

Data Science Engagement Lead

Large Language Model Architect

MLOps Architect

Senior Software Engineer, AI/ML

Gen AI Lead

Gen AI Lead

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