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

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

Minimum Qualifications

• 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

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

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