Senior AI Automation Engineer

MSCI Inc.; Mumbai; Sur place; INR 1 800 000 - 3 200 000; Plein temps

Résumé du poste

MSCI Inc. is seeking an experienced Automation Engineer to design, build, and maintain an enterprise AI Automation platform in Mumbai. You will own end-to-end automation initiatives across infrastructure operations, aiming for self-healing, secure, and scalable workflows.

The role emphasizes Python, APIs, and AI technologies within a cloud-enabled enterprise environment. The ideal candidate has hands-on experience with LLMs, tool orchestration, and governance, security, and reliability best

Qualifications

• Strong analytical and problem-solving skills.
• Experience with automation platforms and enterprise integrations.
• Ability to design scalable, reusable automation solutions.
• Hands-on coding and systems engineering mindset.

Responsabilités

• Design, develop, and maintain the enterprise AI Automation platform supporting 150+ automation workflows across Infrastructure Operations while maintaining ≥99% availability and SLA targets.
• Own automation and AI solutions end-to-end, from design and development through deployment, operations, and continuous optimization.
• Lead delivery of AI automation initiatives aligned with business priorities across Infrastructure
• Contribute to AI-enabled and self-healing automation capabilities across the platform.
• Mentor associate engineers and promote engineering best practices, reusable frameworks, and high-quality software delivery.
• Design, build, and maintain scalable automation solutions across infrastructure and cloud using Python, APIs, AI technologies, and RPA where appropriate.
• Build intelligent AI-powered workflows that reduce manual effort, improve operational efficiency, and enable self-healing infrastructure operations.
• Develop reusable automation frameworks, APIs, and services to accelerate enterprise automation initiatives.
• Integrate Large Language Models (LLMs) with enterprise systems through secure APIs and tool orchestration.
• Apply governance, security, and audit best practices to ensure automation remains compliant and production ready.
• Troubleshoot complex production issues, perform root cause analysis, and continuously improve platform reliability.

Connaissances

Automation engineering

Infrastructure Automation

Cloud Automation

AI Automation

Python

REST APIs

FastAPI

LLMs

Prompt Engineering

Agentic AI

Outils

Kubernetes

Linux

Windows

VMware

Cisco UCS

DNS

Load balancing

IP management

Azure

GCP

OpenAI

Azure OpenAI

Claude

Gemini

LangChain

LangGraph

CrewAI

Semantic Kernel

AutoGen

MCP

ServiceNow

Description du poste

• Design, develop, and maintain the enterprise AI Automation platform supporting 150+ automation workflows across Infrastructure Operations while maintaining ≥99% availability and SLA targets.
• Own automation and AI solutions end-to-end, from design and development through deployment, operations, and continuous optimization.
• Lead delivery of AI automation initiatives aligned with business priorities across Infrastructure
• Contribute to AI-enabled and self-healing automation capabilities across the platform.
• Mentor associate engineers and promote engineering best practices, reusable frameworks, and high-quality software delivery.

• Design, build, and maintain scalable automation solutions across infrastructure and cloud using Python, APIs, AI technologies, and RPA where appropriate.
• Build intelligent AI-powered workflows that reduce manual effort, improve operational efficiency, and enable self-healing infrastructure operations.
• Develop reusable automation frameworks, APIs, and services to accelerate enterprise automation initiatives.
• Integrate Large Language Models (LLMs) with enterprise systems through secure APIs and tool orchestration.
• Apply governance, security, and audit best practices to ensure automation remains compliant and production ready.
• Troubleshoot complex production issues, perform root cause analysis, and continuously improve platform reliability.

Infrastructure & Cloud

• 7–11 years of experience in Automation Engineering, Infrastructure Automation, Cloud Automation, Platform Engineering, or AI Automation.
• Solid grasp of infrastructure stack: Kubernetes, Linux and Windows, VMware, Cisco UCS, and networking fundamentals (L2/L3, DNS, load balancing, IP management)
• Experience working with Azure or GCP cloud platforms.

Programming & Development

Strong hands-on experience in:

• Python (preferred)
• REST APIs
• FastAPI (preferred)

Experience designing reusable automation frameworks and enterprise APIs.

AI & Agentic Automation

Hands-on experience developing AI-enabled automation using Large Language Models (LLMs).

Experience with:

• Prompt Engineering
• Agentic AI concepts
• Tool Calling / Function Calling
• AI Guardrails
• Self-Healing Automation

Experience with one or more of the following frameworks is highly desirable:

• LangChain
• LangGraph
• CrewAI
• Semantic Kernel
• AutoGen
• Model Context Protocol (MCP)

AI Platforms

Experience integrating enterprise applications with one or more AI platforms:

• OpenAI
• Azure OpenAI
• Claude
• Gemini

Practical experience using AI for:

• Automation
• Code generation
• Incident summarization
• Workflow orchestration
• Knowledge retrieval

Cloud & DevOps

Experience with:

• Azure or Google Cloud Platform (GCP)
• Kubernetes
• CI/CD pipelines

Enterprise Integration

Experience integrating with enterprise platforms such as:

• Cloud SDKs
• ServiceNow (preferred)

Nice to Have

Experience with:

• Retrieval-Augmented Generation (RAG)
• Vector Databases
• AI Evaluation techniques
• Knowledge Graphs

Personal Attributes

• Strong analytical and problem-solving skills.
• Passion for AI-driven automation and enterprise platform engineering.
• Ability to design scalable, reusable automation solutions.
• Strong communication and collaboration skills.
• Continuous learning mindset with a desire to adopt emerging AI technologies.