Job Requisition ID #

26WD99802

Position Overview

Location: Bengaluru, India (Hybrid)

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.

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

The Ideal Candidate

The ideal candidate is a visionary engineering leader who combines deep expertise in Artificial Intelligence (AI), distributed systems, and enterprise architecture with the ability to influence technology strategy and deliver innovative, scalable platforms that drive business impact

Demonstrates exceptional expertise in designing and building enterprise-scale AI platforms and cloud-native distributed systems
Defines long-term technical vision while balancing innovation, scalability, security, reliability, and operational excellence
Solves highly complex technical challenges by applying sound architectural judgment, analytical thinking, and industry best practices
Influences engineering strategy across multiple organizations through technical leadership and architectural guidance
Drives innovation by evaluating emerging AI technologies and translating research into production-ready capabilities
Establishes engineering standards, governance models, and reusable frameworks that improve platform quality and developer productivity
Builds trusted partnerships with executive leadership, engineering teams, product organizations, and cross-functional stakeholders
Mentors senior engineers, Principal Engineers, and technical leaders while fostering a culture of engineering excellence and continuous learning
Communicates complex technical concepts effectively to both technical and executive audiences
Demonstrates a customer-first mindset and aligns technical decisions with long-term business objectives
Operates with a high degree of ownership, accountability, and strategic influence while delivering measurable outcomes
Champions Responsible AI, security, privacy, and governance as foundational principles for enterprise AI solutions

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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.

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In-Person Onboarding and Identity Verification

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