26WD94741
Autodesk is undertaking a bold transformation to become an AI-first application platform, delivering a seamless, unified experience that fundamentally reshapes how customers and internal teams design, build, and operate within an agent-driven workspace. This platform will serve as the foundation for the next generation of Autodesk’s Design and Make software.
We are seeking a Software Architect for Agentic AI Initiatives to define, architect, and deliver advanced AI systems capable of autonomous reasoning, decision-making, and self-directed execution. This is a senior, highly influential role that blends deep technical expertise with architectural leadership and strategic vision. You will collaborate closely with engineering, product, research, and business leaders to build domain-aware intelligent systems that accelerate innovation and deliver measurable impact across the Autodesk platform.
Architect, design, and guide the development of AI systems, including autonomous agents, multi-agent frameworks, and LLM-powered agents.
Define reference architectures, patterns, and best practices for integrating agentic AI into existing Autodesk platforms, services, and workflows.
Drive architectural decisions across inference, orchestration, tool integration, memory, and feedback loops.
Evaluate emerging AI models, frameworks, and tooling.
Prototype, benchmark, and assess solutions for scalability, robustness, safety, cost efficiency, and performance.
Translate research and experimentation into production-ready architectural guidance.
Guide the deployment of agentic AI solutions into production environments with a focus on reliability, resilience, and operability.
Define strategies for monitoring agent behavior, detecting anomalies, and refining agent policies.
Establish feedback mechanisms for continuous learning, evaluation, and system improvement.
Ensure agentic AI systems adhere to ethical principles, regulatory requirements, and Autodesk governance standards throughout their lifecycle.
Champion best practices for data privacy, security, auditability, and responsible AI usage.
Partner closely with platform architects, software engineers, applied AI teams, product managers, and business stakeholders.
Clearly communicate complex architectural concepts, trade-offs, and risks to both technical and non-technical audiences.
Act as a technical thought leader and mentor within the organization
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent practical experience)
15+ years of professional software engineering experience, including at least 5 years in AI/ML engineering or architecture roles.
Demonstrated experience designing and delivering complex, production-grade software systems.
Deep understanding of AI/ML algorithms, architectures, and frameworks.
Proven experience delivering AI-powered features or platforms in large-scale software products.
Strong ability to work effectively across multidisciplinary, cross-functional teams.
API and service design at scale (REST, gRPC, GraphQL), including versioning and backward compatibility.
Distributed systems and data platforms, including microservices, service mesh, and streaming processing architectures.
Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Strong analytical and systems-thinking skills, with a track record of solving complex technical challenges.
Ability to think strategically about the future of AI and its application to design, construction, manufacturing, and infrastructure industries.
Experience deploying and operating AI solutions at scale on major cloud platforms (AWS, Azure, or Google Cloud Platform).
Strong experience with AWS services, such as EC2, ECS, Lambda, API Gateway, S3, DynamoDB, and RDS.
Database architecture and technologies, including relational and NoSQL systems.
Event-driven and streaming architectures (Kafka or Kinesis), including exactly-once processing and schema evolution (Avro / Protobuf).
Observability and SRE practices: OpenTelemetry, distributed tracing, metrics, SLIs/SLOs.
Knowledge graphs and semantic modeling (nice-to-have): RDF/OWL, property graphs, or ML feature stores.
Hands-on experience with RAG architectures, including embeddings, vector stores, chunking strategies, re-ranking, and retrieval evaluation.
Experience with agent orchestration frameworks (e.g., LangGraph, Semantic Kernel), function/tool calling, and assistants-style APIs.
AI data governance, privacy, and safety practices, including PII handling, prompt-injection defenses, content filtering, and auditability.
LLM observability and evaluation, including offline/online evaluations, guardrails, prompt and version management, and telemetry tools (e.g., LangSmith, PromptFlow, OpenTelemetry).
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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: https://www.autodesk.com/company/diversity-and-belonging
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