Pega Senior Software Engineer responsible for design, development and delivery of complex Pega solutions working closely with agile teams. Contributing to high quality solutions and ongoing system support.
About the role
- Software Architect in AI/ML at Autodesk, designing cloud-native solutions for Product Lifecycle Management workflows. Responsible for architecting workflows and building production-ready AI systems.
Responsibilities
- Architect and build scalable, secure cloud-native services and Agentic AI workflows that run in production
- Own the GenAI/ML architecture for production agentic systems
- Define model strategy across prompting, retrieval (RAG), and fine-tuning
- Standardize tool/context integrations across internal systems using MCP-based patterns
- Establish evaluation + observability standards
Requirements
- Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or equivalent practical experience
- 8+ years building cloud-native software in production (distributed systems, APIs, data-intensive services, reliability and operations)
- 4+ years delivering AI/ML-powered system in production
- Experience with MCP or similar standardized patterns for connecting models to tools and context
- Proficiency in Python/TypeScript/Java with strong engineering fundamentals (testing, code quality, performance, security)
Benefits
- Annual cash bonuses
- Stock grants
- Comprehensive benefits package
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