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Hiring companyInsight
Active listing
AI Cloud Engineer III
Gurugram,India Full-time Hybrid
About the role
Insight Cloud Engineering team drives AI transformation by building enterprise‑scale AI/ML cloud platforms. The AI Cloud Engineer III leads architecture, designs multi‑cloud infrastructure, and creates MLOps pipelines for Generative AI and LLM solutions. Works hybrid from Gurugram with occasional onsite collaboration across Delhi NCR, Hyderabad, Bangalore, and Pune, offering flexible remote days and comprehensive benefits.
What you’ll do
- Lead architecture and design of enterprise‑scale AI/ML cloud platforms across multi‑cloud environments
- Define and enforce cloud infrastructure standards, governance, and security for AI workloads
- Build scalable Kubernetes‑based self‑service environments for data science and ML teams
- Design and implement Generative AI, RAG, vector database, and LLM deployment solutions
- Develop and maintain production‑grade MLOps/LLMOps pipelines for model training, deployment, and monitoring
- Automate infrastructure using scripting and orchestration tools
What you’ll bring
- 5-8 years cloud AI/ML platform experience
- Hands‑on AWS, Azure, GCP architecture
- Kubernetes and MLOps pipeline design
- Generative AI frameworks (LangChain, CrewAI, LlamaIndex)
- Python, Bash, PowerShell scripting
- Design of RAG and LLM deployment solutions
Nice to have
- 5-8 years cloud AI/ML platform experience
- Strong AWS, Azure, GCP architecture skills
- Kubernetes and MLOps expertise
- Generative AI framework experience
- Python programming
- Security and governance knowledge
Skills
Cloud architectureKubernetesMLOpsGenerative AILLM deploymentPython scriptingSecurity governanceMulti‑cloud
Benefits
- Medical insurance
- Health benefits
- Professional development and certificate reimbursement
- Shift allowance
- Flexibility to work remotely up to 30 days per year
Education
Bachelor's degree in Computer Science or equivalent