Live opening · Posted 2 days ago

AI Cloud Enablement Engineer

Tata Consultancy Services (TCS) · Greater Bengaluru Area (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 2 days ago
CompanyTata Consultancy Services (TCS)
LocationGreater Bengaluru Area (On-site)
Work modeNo
SkillsPython, AWS, Azure, GCP, Docker, Kubernetes, Terraform
SourceLinkedin
ListedPosted 2 days ago

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About the role

Description supplied by the original job listing.

🚀 Hiring: AI Cloud Enablement Engineer
📍 Location: Bangalore
💼 Experience: 6-9 Years
⏳ Notice Period: Immediate to 30 Days
We are seeking an experienced AI Cloud Enablement Engineer to drive the design, deployment, and optimization of cloud-based AI/ML platforms and solutions. The ideal candidate will have strong expertise in cloud technologies, AI/ML enablement, automation, and platform engineering to support enterprise-scale AI initiatives.
Key Responsibilities
✅ Design, implement, and manage AI/ML platforms on cloud environments
✅ Enable and support AI application deployment using cloud-native services
✅ Build and automate infrastructure using Infrastructure as Code (IaC) tools
✅ Develop CI/CD pipelines for AI/ML workloads and model deployment
✅ Collaborate with data scientists, ML engineers, and application teams to operationalize AI solutions
✅ Ensure platform scalability, security, reliability, and performance
✅ Monitor, troubleshoot, and optimize cloud infrastructure and AI services
✅ Implement governance, compliance, and cost optimization best practices
Required Skills
✔ Cloud Platforms: AWS / Azure / Google Cloud Platform (GCP)
✔ AI/ML Services and MLOps
✔ Python and Scripting
✔ Docker & Kubernetes
✔ Terraform / Infrastructure as Code
✔ CI/CD Tools (Azure DevOps, GitHub Actions, Jenkins, etc.)
✔ Monitoring & Observability Tools
✔ Linux Administration
✔ DevOps and Cloud Automation
Preferred Skills
➕ Generative AI & Large Language Models (LLMs)
➕ Vector Databases and RAG Architectures
➕ MLflow, Kubeflow, or SageMaker
➕ Data Engineering and Analytics Exposure
➕ Experience with Enterprise AI Platforms
Qualifications
🎓 Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
What We're Looking For
🔹 Strong understanding of AI/ML lifecycle and cloud-native architectures
🔹 Excellent problem-solving and analytical skills
🔹 Strong communication and stakeholder management abilities
🔹 Experience working in agile and cross-functional teams

Work arrangement
No

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