Principal Engineer - Agentic AI
Autodesk · Bengaluru
- Experience15–16 yrs
- SalaryNot disclosed
- Work modehybrid
- Posted24 Sept 2026
About Autodesk
Autodesk is hiring in Bengaluru in technology software. This role looks for around 15+ years of experience.
Skills
- Generative AI
- distributed systems
- cloud-native architecture
- Kubernetes
- containers
- microservices
- event-driven architectures
- REST APIs
- GraphQL
- gRPC
- messaging systems
- service mesh technologies
- Python
- Java
- Go
- C++
- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
The role
A generative AI engineer at a technology software company architects enterprise agent platforms and builds distributed systems using generative AI, cloud-native architecture, and Kubernetes. The role develops multi-agent orchestration, retrieval-augmented generation, and secure AI services for production adoption.
Full job description
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 platformsLead the design and development of scalable multi-agent systems capable of planning, reasoning, memory management, and tool orchestrationEstablish engineering standards, architectural patterns, governance models, and best practices for AI agent developmentServe as the technical authority for complex AI platform initiatives spanning multiple business unitsDesign 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 workflowsBuild highly available, secure, cloud-native AI services using Kubernetes and modern cloud platformsDrive platform observability, resilience, reliability, and operational excellenceArchitect integrations with leading foundation models and AI service providersOptimize AI agent workflows for latency, reliability, quality, scalability, and cost efficiencyImplement evaluation frameworks for reasoning quality, hallucination detection, safety, and overall AI system performanceDevelop reusable Software Development Kits (SDKs), Application Programming Interfaces (APIs), engineering frameworks, and accelerators for AI product teamsDefine enterprise standards for AI governance, security, compliance, privacy, and Responsible AI practicesPartner with Legal, Security, Privacy, and Trust teams to implement secure AI deployment patterns and enterprise guardrailsLead Product Management partnerships to define AI platform roadmaps and long-term technical strategyMentor senior technical leaders, Principal Engineers, and engineering teams across AutodeskInfluence engineering strategy through architectural reviews, technical leadership, and cross-functional collaborationDrive adoption of AI engineering best practices through documentation, technical workshops, and engineering communitiesEvaluate emerging AI technologies, frameworks, and research to inform Autodesk's long-term AI strategyPrototype advanced autonomous capabilities using state-of-the-art reasoning, planning, and orchestration techniquesRepresent Autodesk at technical conferences, standards organizations, and industry collaborationsContribute 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) preferred15+ years of software engineering experience, including significant experience building distributed systems and cloud-native platforms5+ years of experience designing enterprise-scale Artificial Intelligence (AI), Machine Learning (ML), or intelligent automation platformsDemonstrated experience leading architecture and technical strategy across multiple engineering organizationsStrong 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 architecturesExpertise with Representational State Transfer (REST) Application Programming Interfaces (APIs), GraphQL, gRPC, messaging systems, and service mesh technologiesExceptional technical leadership, communication, and stakeholder management skills
Preferred Qualifications
Experience building and deploying production-grade autonomous AI agentsDeep understanding of multi-agent architectures, planning and reasoning systems, tool calling, function execution, long-term memory architectures, workflow orchestration, and AI evaluation methodologiesExperience with foundation models such as OpenAI, Anthropic, Google Gemini, or equivalent technologiesExperience using AI frameworks such as LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, LlamaIndex, or similar platformsExperience with vector databases, Retrieval-Augmented Generation (RAG) architectures, knowledge graphs, and Model Context Protocol (MCP)Familiarity with AI observability, monitoring, and evaluation platformsExperience 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 systemsDefines long-term technical vision while balancing innovation, scalability, security, reliability, and operational excellenceSolves highly complex technical challenges by applying sound architectural judgment, analytical thinking, and industry best practicesInfluences engineering strategy across multiple organizations through technical leadership and architectural guidanceDrives innovation by evaluating emerging AI technologies and translating research into production-ready capabilitiesEstablishes engineering standards, governance models, and reusable frameworks that improve platform quality and developer productivityBuilds trusted partnerships with executive leadership, engineering teams, product organizations, and cross-functional stakeholdersMentors senior engineers, Principal Engineers, and technical leaders while fostering a culture of engineering excellence and continuous learningCommunicates complex technical concepts effectively to both technical and executive audiencesDemonstrates a customer-first mindset and aligns technical decisions with long-term business objectivesOperates with a high degree of ownership, accountability, and strategic influence while delivering measurable outcomesChampions Responsible AI, security, privacy, and governance as foundational principles for enterprise AI solutions
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).