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Principal AI Engineer

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Job Description — Principal AI Engineer

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About the Role

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As a Principal AI Engineer, you will define and drive the technical direction for the systems that bring our AI products to life.

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You will architect and scale the AI platform and services that enable investors worldwide to assess the Environmental, Social, and Governance (ESG) performance of companies.

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Your focus will be on enterprise-grade AI engineering: LLM and ML inference platforms, orchestration, retrieval systems, resilient data pipelines, and scalable APIs—built with security, reliability, cost, and maintainability as first-class concerns.

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Responsibilities

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- Own the architecture and technical roadmap for production AI services across the product ecosystem.
- Design, build, and scale LLM and ML inference platforms, including routing, caching, model lifecycle, and API standards.
- Drive production patterns for RAG, retrieval systems, vector databases, and knowledge pipelines; set best practices for quality and relevance.
- Establish platform-level capabilities: orchestration frameworks, event-driven services, and reusable microservice components (Python-first).
- Define and enforce SLOs, reliability standards, observability practices, and incident response playbooks for AI services.
- Lead cost governance for AI (token usage, infrastructure scaling, caching, batching, evaluation-driven deployment decisions).
- Build robust CI/CD and release strategies for AI systems; automate deployments on AWS (e.g., Bedrock, Lambda, EKS, S3, etc.).
- Partner with research, engineering, security,



and product leadership to align on trade-offs, delivery milestones, and risk controls.
- Provide technical mentorship and influence through design reviews, architecture forums, and by raising the engineering bar across teams.
- Evaluate new technologies and guide adoption (vector stores, orchestration tools, evaluation frameworks, MCP/server patterns) with a pragmatic lens.

Qualificationsn
- Expert-level programming in Python (services, APIs, pipelines, platform components).
- 9 years of experience in AI engineering, MLOps, backend/platform engineering, or related roles with demonstrable architecture leadership.
- Proven experience deploying and operating LLMs in production at scale, including evaluation, guardrails, and cost/performance optimization.
- Robust knowledge of AWS (e.g., Bedrock, Lambda, EKS, S3), cloud-native design, and distributed systems.
- Strong experience with CI/CD, container orchestration (Kubernetes), and infrastructure automation (Terraform/CloudFormation).
- Deep understanding of microservices, event-driven architecture, queues/streams, and high-availability system design.
- Robust ML fundamentals and the ability to bridge research and engineering: model metrics, latency/throughput,



inference constraints, and practical deployment.
- Experience with SQL databases (e.g., PostgreSQL) and scalable data access patterns.
- Excellent communication and stakeholder management skills—able to influence decisions across multiple teams and levels.

Nice to Haven
- Experience with JavaScript/TypeScript and full-stack integration patterns for AI products.
- Experience building or operating observability platforms (CloudWatch, Prometheus, Grafana) and defining SLO-based operations.

Equal Opportunity & Work Environmentn

Morningstar is an equal opportunity employer.

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Morningstar’s hybrid work environment gives you the opportunity to collaborate in person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis. In most locations, the hybrid work model includes four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change.

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Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

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I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

Experience Level

Senior Level

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📌 Principal Artificial Intelligence Engineer (Mumbai)
🏢 Morningstar India
📍 Mumbai