Principal Core Services Engineer(ai/ml Focus)

Job Requisition ID 25WD92328 Position Overview The Principal Core Services Engineer AI ML Focus within Autodesk s Cloud Infrastructure Platform Engineering CIPE organization will be a key contributor in advancing our next-generation intelligent cloud platform and Developer tools This role focuses on building scalable secure and self-optimizing systems that power Autodesk s global engineering ecosystem and Tier-0 services You will design and develop AI-enabled cloud-native solutions leveraging AWS Kubernetes and Python integrating Agentic AI workflows to automate complex operations improve reliability and drive platform-level resilience Working across hybrid and multi-cloud environments you will help standardize architectures and accelerate Autodesk s transformation toward autonomous infrastructure services The ideal candidate combines strong software engineering fundamentals with deep cloud infrastructure knowledge and brings a mindset of innovation reliability and operational rigor You will collaborate with architects service owners and AI platform teams to deliver production-ready systems that enhance developer productivity service uptime and global Service scalability Responsibilities Design optimize and maintain Core Services with a strong focus on DNS foundational cloud infrastructure and service reliability across hybrid and multi-cloud environments Build and enhance cloud-native services on AWS and Azure leveraging Python for scalable performant and secure system design Develop and deploy containerized workloads using Kubernetes ensuring efficiency resilience and operational consistency Implement Agentic AI capabilities to drive intelligent automation proactive issue resolution and continuous performance optimization Automate infrastructure provisioning CI CD pipelines observability and monitoring to strengthen platform efficiency and reduce operational overhead Collaborate with architecture and engineering teams to define evolve and standardize core service patterns and foundational designs Design and implement AI-driven agents leveraging MCP Model Context Protocol for tool interoperability dynamic orchestration and autonomous task execution across platforms Develop adaptive workflows and intelligent orchestration frameworks that enable DNS and other foundational services to self-heal scale intelligently and operate with minimal manual intervention Troubleshoot and resolve complex distributed system challenges with emphasis on performance tuning network optimization and DNS service reliability Contribute to engineering best practices design reviews and architectural evolution to enhance system efficiency and maintainability Required Qualifications Bachelor s or Master s degree in Computer Science Engineering or equivalent professional experience Proven expertise in Core Services engineering DNS networking service reliability and foundational service optimization Strong hands-on experience with AWS services e g EC2 EKS Lambda S3 RDS IAM and exposure to Azure environments Proficiency in Kubernetes orchestration and containerization for large-scale production-grade systems Advanced Python development skills for backend automation and service optimization Hands-on experience with MCP Model Context Protocol or equivalent frameworks Deep understanding of LLMs AI agent architectures and orchestration frameworks e g LangChain AutoGen Semantic Kernel Familiarity with Infrastructure-as-Code tools Terraform CloudFormation AWS CDK Experience with CI CD pipelines DevOps practices and cloud networking fundamentals Solid understanding of networking DNS architecture cloud security and distributed system design Preferred Qualifications Experience designing or managing Core DNS Services authoritative and recursive DNS and traffic management across multi-region environments Background in intelligent agent development AI-driven orchestration or self-optimizing infrastructure systems Exposure to multi-cloud and hybrid architectures including performance and cost optimization across providers Familiarity with observability stacks such as Prometheus Grafana ELK CloudWatch or equivalent Contributions to open-source projects in DNS AI Kubernetes or cloud-native ecosystems Strong analytical thinking cross-functional collaboration and communication skills LI-RV1 Learn More 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 Are you an existing contractor or consultant with Autodesk Please search for open jobs and apply internally not on this external site