Senior Development Manager, Platforms Development AI/ML San Francisco, CA at Autodesk

**Who this is for** An experienced engineering leader with a background in building scalable platform infrastructure and a passion for machine learning, specifi

Work type: onsite

Location: San Francisco, CA, USA

Type: Full-time

Summary

**Who this is for** An experienced engineering leader with a background in building scalable platform infrastructure and a passion for machine learning, specifically looking to drive the development of agentic AI capabilities. **Key highlights** You will lead a team of engineers at Autodesk, defining the technical roadmap and architecture for a next-generation AI/ML platform that supports diverse products and complex agentic AI systems. **You might be a good fit if you...** - Have 12+ years of software development experience with at least 3 years in a management capacity. - Possess hands-on experience with cloud infrastructure, containerization, and MLOps principles. - Demonstrate a proven track record of delivering AI/ML systems and mentoring high-performing engineering teams. - Are skilled in driving technical strategy and working within agile environments to meet complex delivery deadlines.

Job Description

Job Requisition ID #

26WD97783

Position Overview

Autodesk is seeking a passionate and experienced Senior Software Development Manager with deep experience leading enterprise-scale platform development to lead our talented team of software and ML engineers in building AMP, our next-generation machine learning platform.

You will play a key role in developing the platform that powers the next generation of Agentic AI features across Autodesk products.

A successful candidate will require providing technical leadership, driving the technical strategy, execution, and delivery of scalable AI/ML platform, ensuring alignment with organizational goals and priorities, driving adoption of the Platform. This role requires a blend of technical expertise in AI/ML technologies, strong leadership skills, and a proven track record of delivering complex projects on time and within budget. A successful candidate will deliver while motivating the team and instilling a culture of development excellence.

Location: The role is based in the San Francisco Bay Area. Hybrid/Remote.

Responsibilities

• Lead and mentor a team of engineers in the development and deployment of AI/ML solutions

• Collaborate with cross-functional teams including product management, data science, data, and cloud infrastructure to define and execute the AI/ML platform roadmap

• Provide guidance to the design and architecture of scalable, reliable, and efficient AI/ML systems and drive critical technology decisions

• Driving the execution of the platform strategy following principles of agile methodology and best practices in software development, code quality, and security standards

• Create and manage plans, track, and ensure tactical execution and adherence to budgets, schedules, plans, and performance

• Actively participate in coding review processes, and problem-solving alongside your team

• Build and foster a high-performance culture, mentor team members and provide your team with the tools and motivation to make things happen

• Actively participate in the hiring process to attract and onboard top-tier development talent, ensuring the team possesses the necessary skills and expertise to execute on the AI/ML platform vision

• BS/MS in Computer Science, Engineering, or a related field. (MS preferred)

• 12+ years of experience of software development with 3+ years of experience as a manager

• Proven experience leading and mentoring software and ML development teams

• Experience with design, build and running scalable, high-performance systems production applications on cloud platforms such as AWS, Azure, or Google Cloud Platform and containerization technologies (Docker, Kubernetes)

• Experience building and deploying AI models, for rapid AI application development, using AWS SageMaker, Bedrock or Azure Machine Learning

• Experience working with complex agentic AI architectures, API ecosystems, guardrails, context management and other best of breed AI/ML offerings

• Understanding of MLOps principles and practices for effectively managing and automating machine learning workflows, including model versioning, monitoring, and deployment

• Expertise in CI/CD, automation tools, and practices for machine learning lifecycle management

• Strong background in AI/ML with experience in deep learning, statistical modeling, and neural networks

• Experience with Scrum and agile development processes and methodologies.

• Excellent communication and written skills

• BS or MS in Computer Science or related technical field

• Ability to inspire, motivate, and guide team members towards achieving project goals

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