Principal Engineer - Agentic AI

Autodesk
Bengaluru
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 15+ yearsEducation: bachelorsSkills: ["Technical leadership","Communication","Stakeholder management","Architectural judgment","Analytical thinking"]

Lead the architecture, development, and enterprise adoption of Autodesk’s agentic AI platform. Define reference architectures and engineering standards for scalable multi-agent systems, including orchestration, memory services, context management, RAG, MCP integration, and human-in-the-loop workflows. Build secure, highly available cloud-native AI services using Kubernetes and modern cloud platforms, drive observability and reliability, and partner across Product, Security, Infrastructure, and executive leadership to deliver trustworthy AI at scale.

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FursaFursa
Autodesk
Autodesk
1 month ago

Principal Engineer - Agentic AI

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Lead the architecture, development, and enterprise adoption of Autodesk’s agentic AI platform. Define reference architectures and engineering standards for scalable multi-agent systems, including orchestration, memory services, context management, RAG, MCP integration, and human-in-the-loop workflows. Build secure, highly available cloud-native AI services using Kubernetes and modern cloud platforms, drive observability and reliability, and partner across Product, Security, Infrastructure, and executive leadership to deliver trustworthy AI at scale.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Define Autodesk’s technical vision and reference architecture for enterprise agentic AI platforms
  • •Lead design and development of scalable multi-agent systems for planning, reasoning, memory management, and tool orchestration
  • •Establish engineering standards, architectural patterns, governance models, and best practices for agent development
  • •Build secure, cloud-native AI services and drive platform observability, resilience, reliability, and operational excellence
  • •Develop reusable SDKs/APIs/frameworks, integrate foundation models and AI service providers, and implement evaluation for reasoning quality, hallucination detection, safety, and performance

Key Requirements

  • •15+ years of software engineering experience building distributed systems and cloud-native platforms
  • •5+ years designing enterprise-scale AI, ML, or intelligent automation platforms
  • •Experience leading architecture and technical strategy across multiple engineering organizations
  • •Strong programming skills in one or more of Python, Java, Go, or C++
  • •Deep expertise with cloud platforms (AWS, Azure, or GCP) and Kubernetes-based, containerized, microservices architectures
Experience:15+ yearsDistributed systemsCloud-nativeEnterprise AIMachine learningIntelligent automation
Education:Bachelor's in Computer Science, Engineering (or related field)
Skills:Technical leadershipCommunicationStakeholder managementArchitectural judgmentAnalytical thinking
Tech Stack:PythonJavaGoC++Amazon Web Services (AWS)Microsoft AzureGoogle Cloud Platform (GCP)KubernetesContainersMicroservicesEvent-driven architecturesREST APIsGraphQLGRPCMessaging systemsService meshLLMsRetrieval-Augmented Generation (RAG)Model Context Protocol (MCP)OpenAI

Company Brief

Autodesk
Provides design and engineering software for architecture, construction, manufacturing, media, and entertainment industries, offering CAD, BIM, and 3D modeling tools to enable product and infrastructure design workflows.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Rafael, United States
Founded: 1982
Glassdoor
Glassdoor: 3.9
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