Principal Engineer – Agentic AI

Pomona College; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Autodesk is seeking a visionary Principal Engineer for the Agentic AI Platform & Implementation to lead architecture and enterprise adoption of next‑gen AI agent platforms. You will define the technical strategy, drive scalable cloud‑native solutions, and collaborate with PM, Security, Research, and leadership to deliver trustworthy AI capabilities.

You will guide cross‑functional teams across architecture reviews, governance, and best practices while shaping the long‑term AI platform roadmap

Qualifications

• 15+ years of software engineering experience, including distributed systems
• 5+ years designing enterprise AI/ML or intelligent automation platforms
• Demonstrated experience leading architecture across multiple engineering organizations
• Strong programming skills in Python, Java, Go, or C++
• Deep expertise with cloud platforms such as AWS, Azure, or GCP

Responsibilities

• Define Autodesk’s technical vision and reference architecture for enterprise AI platforms
• Lead the design and development of scalable multi-agent systems with planning, 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 across business units
• Design reusable AI platform capabilities including agent orchestration and context management

Skills

Distributed systems

LLMs / AI agent platforms

Cloud-native

Kubernetes

Python

Java

Go

C++

REST APIs

GraphQL / gRPC

Education

Bachelor's degree in CS/Engineering

Master's degree or PhD preferred

Tools

Kubernetes

Docker

Microservices

Event-driven architectures

API Management

Service mesh

RAG

MCP

Job description

and the job listing Expires on October 20, 2026

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

• 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

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