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Salary
$33k – $78k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Principal · 15+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Autodesk is a global software leader specializing in 3D design, engineering, construction, and entertainment technology solutions. The company provides industry-standard software platforms, including AutoCAD, Revit, Fusion 360, and Maya, enabling professionals to design, visualize, and simulate complex physical structures and digital media.

Job Requisition ID #

26WD99827

Position Overview

Autodesk is seeking a visionary and hands-on Principal Engineer - Agentic AI Platform & Implementation to lead the architecture, development, and enterprise adoption of next-generation Artificial Intelligence (AI) agent platforms. This role will define the technical strategy for building intelligent, autonomous systems that enhance Autodesk products, internal engineering workflows, and business operations.

As a Principal Engineer, you will drive technical direction across multiple engineering organizations, establish best practices for agentic AI systems, and collaborate closely with Product Management, Research, Security, Infrastructure, and executive leadership to deliver scalable, secure, and trustworthy AI solutions.

This position requires deep expertise in distributed systems, Large Language Models (LLMs), AI orchestration frameworks, cloud-native architectures, and enterprise software engineering.

Roles and Responsibilities

  • Define Autodesk's technical vision and reference architecture for enterprise Agentic AI platforms

  • Lead the design and development of scalable multi-agent systems capable of planning, reasoning, memory management, and tool orchestration

  • Establish engineering standards, architectural patterns, governance models, and best practices for AI agent development

  • Serve as the technical authority for complex AI platform initiatives spanning multiple business units

  • Design reusable Agentic AI platform capabilities, including agent orchestration, memory services, context management, tool execution frameworks, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP) integration, agent-to-agent communication, and human-in-the-loop workflows

  • Build highly available, secure, cloud-native AI services using Kubernetes and modern cloud platforms

  • Drive platform observability, resilience, reliability, and operational excellence

  • Architect integrations with leading foundation models and AI service providers

  • Optimize AI agent workflows for latency, reliability, quality, scalability, and cost efficiency

  • Implement evaluation frameworks for reasoning quality, hallucination detection, safety, and overall AI system performance

  • Develop reusable Software Development Kits (SDKs), Application Programming Interfaces (APIs), engineering frameworks, and accelerators for AI product teams

  • Define enterprise standards for AI governance, security, compliance, privacy, and Responsible AI practices

  • Partner with Legal, Security, Privacy, and Trust teams to implement secure AI deployment patterns and enterprise guardrails

  • Lead Product Management partnerships to define AI platform roadmaps and long-term technical strategy

  • Mentor senior technical leaders, Principal Engineers, and engineering teams across Autodesk

  • Influence engineering strategy through architectural reviews, technical leadership, and cross-functional collaboration

  • Drive adoption of AI engineering best practices through documentation, technical workshops, and engineering communities

  • Evaluate emerging AI technologies, frameworks, and research to inform Autodesk's long-term AI strategy

  • Prototype advanced autonomous capabilities using state-of-the-art reasoning, planning, and orchestration techniques

  • Represent Autodesk at technical conferences, standards organizations, and industry collaborations

  • Contribute to strategic technology investments and long-term AI platform vision

Minimum Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field, with a Master's degree or Doctor of Philosophy (PhD) preferred

  • 15+ years of software engineering experience, including significant experience building distributed systems and cloud-native platforms

  • 5+ years of experience designing enterprise-scale Artificial Intelligence (AI), Machine Learning (ML), or intelligent automation platforms

  • Demonstrated experience leading architecture and technical strategy across multiple engineering organizations

  • Strong programming skills in one or more languages such as Python, Java, Go, or C++

  • Deep expertise with cloud platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)

  • Experience with Kubernetes, containers, microservices, and event-driven architectures

  • Expertise with Representational State Transfer (REST) Application Programming Interfaces (APIs), GraphQL, gRPC, messaging systems, and service mesh technologies

  • Exceptional technical leadership, communication, and stakeholder management skills

Preferred Qualifications

  • Experience building and deploying production-grade autonomous AI agents

  • Deep understanding of multi-agent architectures, planning and reasoning systems, tool calling, function execution, long-term memory architectures, workflow orchestration, and AI evaluation methodologies

  • Experience with foundation models such as OpenAI, Anthropic, Google Gemini, or equivalent technologies

  • Experience using AI frameworks such as LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, LlamaIndex, or similar platforms

  • Experience with vector databases, Retrieval-Augmented Generation (RAG) architectures, knowledge graphs, and Model Context Protocol (MCP)

  • Familiarity with AI observability, monitoring, and evaluation platforms

  • Experience with enterprise-scale platform engineering, identity and access management, Zero Trust security architectures, API management, enterprise integration patterns, DevSecOps, and Machine Learning Operations (MLOps)

  • Experience defining enterprise technology strategy and driving organization-wide engineering transformation

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

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