Senior Software Engineer, Agentic AI

We are seeking an experienced Senior Software Engineer to design, build, and operate resilient, scalable, high-performing services for the Product Access platform, which supports the access experience for millions of Autodesk users worldwide.

You will own end-to-end solution design and delivery across the full engineering lifecycle and use spec-driven development and agentic systems to build, operate, and support Product Access in production, including agent-based automation for engineering and operational workflows. This role includes shared production on-call responsibilities as part of end-to-end service ownership.

You will report to the Senior Engineering Manager and collaborate closely with Product Managers, Architects, Domain Leads, and cross-functional stakeholders across Product Access and beyond., * Design, develop, and operate resilient, scalable, high-performing cloud-native Java microservices and distributed systems on AWS for the Product Access platform

• Own business features and platform initiatives end to end, from requirement analysis through production support, working with product and engineering partners on design, testing, and operational readiness
• Enhance system resiliency, reliability, scalability, and security; optimize performance, troubleshoot production issues, and implement engineering best practices across development and delivery pipelines
• Lead project delivery by organizing scope, estimating effort, establishing timelines, and driving medium-to-large initiatives independently
• Apply spec-driven development in platform and feature delivery
• Build and extend agentic systems and automation: composable skills, MCP integrations, and knowledge retrieval grounded in runbooks, tickets, and service documentation
• Deliver proactive triage and write-action automation with human-in-the-loop gates where required, progressing toward autonomous design-to-delivery workflows
• Enforce production standards for agentic systems through evaluation, CI quality gates, and end-to-end observability across agents and services
• Provide production support; lead incident response and root cause analysis; participate in a shared on-call rotation for production systems, including support outside standard business hours per team schedule; mentor engineers and uphold sound engineering practices, * Platform: Java, Spring Boot; Python, FastAPI (agentic); AWS (ECS Fargate, Lambda, DynamoDB, SQS, API Gateway, CloudWatch, OpenSearch); Docker; GitHub; Jenkins / GitHub Actions; Gradle / Maven
• Streaming & events: Kinesis, Kafka, REST publish, SNS/SQS fan-out, DLQ handling, checkpointed consumers, multi-language event SDKs
• Observability & ops: Splunk, Kibana, Dynatrace, OpenTelemetry; Jira, Slack
• Agentic AI: LLM agents, MCP, RAG and vector retrieval, spec-driven development, evaluation and CI quality gates for production AI
• Security & access: OAuth, Entra ID, OPA and policy-based access control

Exposure to equivalent technologies is welcome.

• Bachelor's degree or higher in Computer Science, Engineering, or a related field, or equivalent practical experience
• 6+ years of progressive software engineering experience building and operating Java microservices and serverless architectures in production
• Strong Java and Spring Boot skills; solid unit, integration, and system testing; strong debugging in local and integrated environments
• Hands-on experience building or integrating AI-powered systems: agents, LLM-based applications, RAG, or tool-calling workflows
• Experience with spec-driven development (SDD)
• Experience with event-driven streaming (Kinesis, Kafka, or equivalent), containers on AWS (Docker, ECS Fargate), CI/CD (Jenkins, GitHub Actions), and core AWS services (Lambda, DynamoDB, messaging, API gateways, logging, monitoring)
• Strong collaboration and communication skills; effective in small teams with shared end-to-end ownership of design, delivery, and production support, * Proficiency in Python and FastAPI; experience building MCP servers or equivalent tool-use frameworks for AI agents
• Experience with RAG, proactive or event-driven agents, and applying agentic AI to engineering workflows, operational automation, or DevOps
• Experience designing LLM evaluation frameworks, multi-agent patterns, and human-in-the-loop review gates
• Familiarity with high-volume event pipelines (Kinesis/Kafka streaming, REST publish, SNS/SQS/DLQ patterns), Gradle or Maven, OpenTelemetry, and AI tracing tools (Opik, LangSmith, or equivalent)
• Understanding of policy-based access control (OPA), authentication for AI systems (OAuth, Entra ID), and Responsible AI practices

From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $117,000 and $209,330. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

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!