Senior AI Automation Engineer

Posted Yesterday
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Mumbai, Maharashtra, IND
In-Office
Senior level
Fintech • Financial Services
The Role
Designs and operates an enterprise AI automation platform supporting infrastructure workflows. Builds Python-based automation frameworks, APIs, LLM integrations, agentic workflows, self-healing capabilities, and cloud infrastructure solutions. Responsibilities include deployment, reliability, governance, security, troubleshooting, root cause analysis, continuous optimization, and mentoring engineers. The role requires extensive experience with cloud platforms, Kubernetes, CI/CD, enterprise integrations, AI orchestration frameworks, and production-grade automation.
Summary Generated by Built In
Your Team Responsibilities
  • 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.
Your Key Responsibilities
  • 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.
Your skills and experience that will help you excel

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.
About MSCI

What we offer you

  • Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
  • Flexible working arrangements, advanced technology, and collaborative workspaces.
  • A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.
  • A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.
  • Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.
  • Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.
  • We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum.

At MSCI we are passionate about what we do, and we are inspired by our vision – to power better decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.

MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.

MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email [email protected] and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.


To all recruitment agencies

MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.


Note on recruitment scams

We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Skills Required

  • 7–11 years of experience in Automation Engineering, Infrastructure Automation, Cloud Automation, Platform Engineering, or AI Automation
  • Experience with Kubernetes, Linux, Windows, VMware, Cisco UCS, networking fundamentals, DNS, load balancing, and IP management
  • Experience with Azure or Google Cloud Platform
  • Strong hands-on experience with Python
  • Strong hands-on experience with REST APIs
  • Experience designing reusable automation frameworks and enterprise APIs
  • Hands-on experience developing AI-enabled automation using Large Language Models
  • Experience with prompt engineering, agentic AI, tool or function calling, AI guardrails, and self-healing automation
  • Experience with CI/CD pipelines and Kubernetes
  • Experience integrating enterprise applications with AI platforms
  • FastAPI experience
  • Experience with LangChain, LangGraph, CrewAI, Semantic Kernel, AutoGen, or Model Context Protocol
  • Experience with ServiceNow
  • Experience with Retrieval-Augmented Generation, vector databases, AI evaluation techniques, or knowledge graphs

MSCI Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about MSCI Inc. and has not been reviewed or approved by MSCI Inc..

  • Fair & Transparent Compensation — Compensation is characterized as competitive in several functions, with strong total compensation cited for higher-paid roles and market-aligned packages described as a baseline.
  • Healthcare Strength — Health coverage is positioned as comprehensive, including medical, dental, vision, mental-health support via an Employee Assistance Program, and care-navigation resources.
  • Retirement Support — Retirement support includes a 401(k) with company contributions and automatic enrollment, plus related financial protections such as life and disability insurance and an HSA option with employer contribution when selected.

MSCI Inc. Insights

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The Company
HQ: New York, NY
5,040 Employees

What We Do

MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process.

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