Position Overview
As a Principal Software Development Engineer, you will join the Engineering & DevOps Services (EDS) team within AI, Data & Automation (AIDA) at Autodesk. Our team drives the Enterprise AI Strategy by building and operationalising the Enterprise AI Fabric , enabling intelligent search, LLM-powered workflows, and AI-driven agents across Autodesk. Our team has a lot of visibility and the impact of our work is directly related to Autodesk business results. We value the culture, transparency and collaboration in our team and at Autodesk in general, we take pride in our global diversity and how we work and talk with one another. This is a hybrid role based in Bengaluru, India.
Job Description :
We are looking for a highly skilled Principal Software Development Engineer (SDE-IV) to lead the development and operationalisation of AI Platforms. This role combines hands-on engineering with platform ownership, ensuring the successful implementation of tools and frameworks that enable intelligent search, LLM-powered actions, and AI-driven productivity agents across the organisation.
You will play a pivotal role in designing, building, and deploying AI-enabled solutions that integrate with enterprise collaboration platforms and intranet websites. As a senior engineer, you will also guide junior developers, influence architectural decisions, and ensure scalability, security, and adoption of enterprise AI tools.
Responsibilities
Technical Excellence & Engineering
- Demonstrate deep expertise in areas such as cloud infrastructure, distributed systems, and event-driven architectures
- Design and evolve large-scale, reliable, and secure systems with a focus on performance, maintainability, and operational excellence
- Stay hands-on when needed—prototyping, debugging, and delivering high-impact components
- Apply deep platform development expertise in AWS Cloud, including caching, load balancing, auto-scaling, database redundancy and resiliency, performance monitoring, hosting patterns, and full-stack platform architecture across all layers
Platform Engineering & Architecture
Build foundational platforms and shared services that enable rapid development and innovation across multiple teamsDesign systems for extensibility, multi-tenancy, and future growth — not just immediate product requirementsChampion reusable “building blocks” over siloed point solutionsDrive adoption of AI Agent Platforms, working with emerging standards like MCP, embedding Trusted AI governance, and enabling LLM-powered actions across enterprise systemsStrategic & Business Alignment
Connect technical decisions to broader business goals (e.g., cost optimization, customer impact, faster time to market)Prioritize initiatives based on a balance of technical merit and strategic business valueInfluence product direction through a strong technical voice in cross-functional forumsTechnical Leadership
Lead through influence and expertise across diverse engineering teamsDrive architectural decisions, mentor senior engineers, and contribute to a culture of engineering rigor and excellenceFacilitate knowledge sharing, tech strategy reviews, and cross-team collaborationSystems Thinking & Complex Problem Solving
Approach challenges holistically, considering code, infrastructure, team dynamics, and business contextNavigate ambiguity and deliver clarity through well-thought-out decisions and forward-looking designsBalance short-term execution with long-term system health and scalabilityCross-Functional Communication & Collaboration
Communicate clearly and effectively with technical and non-technical audiences, from engineers to executivesAdapt communication styles to suit the audience — technical deep dives vs. strategic roadmapsBuild strong partnerships with Product, Infrastructure, Security, and Business teamsExecution & Results Delivery
Own delivery from concept through deployment and adoption — ensuring business and customer impactDecompose complex initiatives into actionable work across teams, ensuring high-quality executionLead cross-team engineering programs with clarity, accountability, and alignmentAdaptability & Continuous Learning
Stay current on evolving technologies, best practices, and industry trendsEncourage experimentation and innovation in tools, architecture, and engineering processesFoster a team culture grounded in curiosity, learning, and continuous improvementMinimum Qualifications
10+ years of professional software development experience, including deep expertise in building and scaling distributed systems, cloud-native platforms (AWS, Azure, or GCP), and event-driven architecturesProven platform development experience in AWS Cloud across caching, load balancing, auto-scaling, database redundancy / resiliency, performance monitoring, hosting patterns, and full-stack platform architectureExpertise in Python (or similar modern programming languages) with experience delivering scalable, production-grade systemsDemonstrated ownership of end-to-end system design, development, and operational excellence for critical production systemsStrong understanding of security best practices, observability (monitoring, logging, alerting), and reliability engineering principlesExperience in designing and evolving AI / LLM-driven platforms, including AI Agent Platforms, MCP, Trusted AI governance, and LLM-enabled enterprise actionsProven ability to design and evolve foundational platforms that accelerate development across multiple business unitsDemonstrated ownership of initiatives from idea to production launch, with measurable business or customer impactExperience working across multiple technical domains (e.g., backend, cloud infrastructure, security, data engineering, automation, CI / CD) and demonstrated ability to quickly ramp up on new technologiesExperience leading cross-functional initiatives and collaborating with product, security, operations, infrastructure, and business teamsAbility to solve ambiguous, complex problems by considering technical, business, and organizational perspectivesExcellent communication and influencing skills with the ability to engage diverse technical and non-technical stakeholders, including senior leadershipExperience mentoring senior engineers and fostering a culture of engineering excellenceBachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent practical experience)Preferred Qualifications
Experience in participating or driving "Tech Culture" initiatives like Engineering Excellence and Reliability ProgramsMaster’s degree in Computer Science or a related technical disciplineExperience in building AI and Machine Learning solutions, with practical exposure to AI Agent Platforms, Trusted AI, and LLM-enabled automationExperience scaling systems to users or high-throughput enterprise environmentsContributions to open-source projects, technical publications, or speaking at major industry eventsHands-on experience with modern DevOps practices, CI / CD pipelines, and infrastructure as code (IaC)#LI-RV1
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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.
Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here :
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