Senior Software Engineer (Context Graph , AI/ML)

Job Requisition ID #

26WD99879

Position Overview


We are looking for a Senior AI/ML Software Engineer for the Search & Context Graph (CG) Platform within Autodesk Platform Services. In this role, you will lead the design and development of AI/ML systems that power search experiences and Context Graph capabilities across Autodesk's Industry Clouds - Fusion, Forma and Flow. You will drive model evaluation frameworks, inferencing infrastructure, and AI automation strategies while mentoring engineers and shaping AI engineering practices for the team.

Roles and Responsibilities

• Design, build, and operate scalable AI/ML platforms that support search, retrieval, recommendation, and Context Graph capabilities
• Architect and operate scalable model inferencing pipelines to serve AI/ML models at scale with low latency, high reliability and cost efficiency
• Design AI automation workflows that accelerate development, testing, and deployment of ML-powered features
• Define technical direction and best practices for AI/ML integration into Search and Context Graph platforms
• Perform code reviews, adopt industry best practices and improve AI/ML development standards within the team
• Partner with Principals, Software Architects, Product Managers and Engineering Managers to drive AI strategy and implement technical solutions
• Work with SREs to meet SLAs of AI-powered services with monitoring, troubleshooting and optimizations
• Participate in on-call rotation and help in detection, recovery and postmortems of production incidents
• Mentor junior engineers and guide their growth in AI/ML engineering

• BS or MS in Computer Science, Machine Learning, or related field, or equivalent work experience
• 5-7 years of experience building and running ML systems or AI-powered applications
• Strong machine learning fundamentals: model training, evaluation, inference, and production deployment at scale
• Expert proficiency in Python for ML engineering; familiarity with Java or other backend languages
• Proven experience designing and building LLM-powered applications, including RAG architectures, agents, or fine-tuning pipelines
• Familiarity with MLOps platforms and end-to-end ML pipelines (e.g. MLflow, Kubeflow, SageMaker Pipelines)
• Hands-on experience with vector databases (e.g. Pinecone, Weaviate, pgvector) and embedding-based retrieval systems
• Experience with Cloud infrastructure platforms such as AWS (e.g. SageMaker, Bedrock, Lambda, ECS)
• Experience with Information Retrieval and hands-on knowledge of Lucene/ElasticSearch/OpenSearch

• Experience with Context Graph technologies and graph databases (e.g. Neo4j, Neptune, SPARQL)
• Deep knowledge of AI evaluation benchmarks and frameworks (e.g. RAGAS, LangSmith, HELM, OpenAI Evals)
• Experience with agentic AI systems and multi-agent orchestration frameworks (e.g. LangChain, LlamaIndex)
• Aware of Security and Compliance challenges in Cloud AI products and platforms

• Strong communicator. You enjoy synthesizing, simplifying, and articulating complex AI/ML problems to others
• A team-player, with a result-focused passion to deliver intelligent solutions that improve user experiences
• You embrace perpetual learning in the rapidly evolving AI/ML landscape and are always ready for a new challenge