Experience:

• 15+ years of software engineering experience
• 5+ years designing enterprise-scale AI, ML, or intelligent automation platforms
• Experience leading architecture and technical strategy across multiple engineering organizations

Qualification:

• Bachelor's degree in Computer Science, Engineering, or related field
• Master's degree or PhD preferred

Responsibilities:

• Define technical vision and reference architecture for enterprise Agentic AI platforms
• Lead design and development of scalable multi-agent systems with planning, reasoning, memory management, and tool orchestration
• Establish engineering standards, architectural patterns, governance models, and best practices for AI agent development
• Serve as technical authority for complex AI platform initiatives across business units
• Design reusable AI platform capabilities including agent orchestration, memory services, context management, tool execution frameworks, RAG, MCP integration, agent-to-agent communication, and human-in-the-loop workflows
• Build highly available, secure, cloud-native AI services using Kubernetes and modern cloud platforms
• Drive platform observability, resilience, reliability, and operational excellence
• Architect integrations with foundation models and AI service providers
• Optimize AI agent workflows for latency, reliability, quality, scalability, and cost efficiency
• Implement evaluation frameworks for reasoning quality, hallucination detection, safety, and AI system performance
• Develop reusable SDKs, APIs, engineering frameworks, and accelerators for AI product teams
• Define enterprise standards for AI governance, security, compliance, privacy, and Responsible AI practices
• Partner with Legal, Security, Privacy, and Trust teams to implement secure AI deployment patterns and enterprise guardrails
• Lead Product Management partnerships to define AI platform roadmaps and long-term technical strategy
• Mentor senior technical leaders, Principal Engineers, and engineering teams
• Influence engineering strategy through architectural reviews, technical leadership, and cross-functional collaboration
• Drive adoption of AI engineering best practices through documentation, workshops, and communities
• Evaluate emerging AI technologies, frameworks, and research to inform long-term AI strategy
• Prototype advanced autonomous capabilities using state-of-the-art reasoning, planning, and orchestration techniques
• Represent Autodesk at technical conferences, standards organizations, and industry collaborations
• Contribute to strategic technology investments and long-term AI platform vision

Nice to have:

• Experience building and deploying production-grade autonomous AI agents
• Deep understanding of multi-agent architectures, planning and reasoning systems, tool calling, function execution, long-term memory architectures, workflow orchestration, and AI evaluation methodologies
• Experience with foundation models such as OpenAI, Anthropic, Google Gemini, or equivalent
• Experience using AI frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, LlamaIndex, or similar
• Experience with vector databases, RAG architectures, knowledge graphs, and MCP
• Familiarity with AI observability, monitoring, and evaluation platforms
• Experience with enterprise-scale platform engineering, identity and access management, Zero Trust security architectures, API management, enterprise integration patterns, DevSecOps, and MLOps
• Experience defining enterprise technology strategy and driving organization-wide engineering transformation

More skills:

Distributed systems, Large Language Models (LLMs), AI orchestration frameworks, Enterprise software engineering, Amazon Web Services (AWS), Google Cloud Platform (GCP), Containers, Microservices, Event-driven architectures, REST APIs, GraphQL, gRPC, Messaging systems, Service mesh technologies

Other:

• Salary based on experience and geographic location
• Compensation package may include base salary, annual cash bonuses, commissions for sales roles, stock grants, and comprehensive benefits
• Autodesk culture emphasizes belonging, innovation, and meaningful work
• Role requires strong technical leadership, communication, and stakeholder management skills
• Candidate should champion Responsible AI, security, privacy, and governance as foundational principles
• Ideal candidate demonstrates customer-first mindset, ownership, accountability, and strategic influence