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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Technical Program Manager, Foundations - Generative AI - **Company:** BINGHAMTOM UNIVERSITY - **Location:** Boston, MA, United States - **Experience:** Expert - **Salary:** $124,000.0 - **Contract:** Permanent contract - **Skills:** Adobe InDesign, Artificial Intelligence, Autodesk Revit, Machine Learning, Data Ingestion, Generative AI, Information Technology, Autodesk Autocad, Data Pipelines - **Published:** September 11, 2026 - **Apply:** https://www.themuse.com/jobs/autodesk/principal-technical-program-manager-foundations-generative-ai?utm_source=uconnect ## About the Role * 5+ years of Program Management and Strategic Planning experience * BS or MS in Statistics, Computer Science, Machine Learning, Data Science or other related fields * Previous experience in AI technology and practices, with a focus on how to apply AI in commercialized professional products. * Prior experience leading a product through initial research to a commercially available offering. * Embody data-driven decision-making while ensuring an inclusive and collaborative culture * Experience managing teams with a collaborative and empowering approach * Exceptional communication and influencing skills * Experience in the AEC industry, Autodesk products such as Revit, and AEC data schemas and standards. * Experience building scalable and resilient data ingestion and processing pipelines, monitoring and self-healing systems that power AI-based solutions for AEC workflows * Experience working with scrum and Agile development processes and methodologies * Comfortable with a dynamic business structure and able to adapt to changes swiftly * Have a business degree ## Description As a Principal Technical Program Manager on the AEC Solutions team, you will own execution and delivery for our visible, highly important AEC Generative AI program-coordinating cross-functional work to bring models and ML/data pipelines into production experiences for customers. You will be part of a versatile group of AI Researchers, ML Engineers, Software Architects, and Experience Designers who are building cutting-edge foundation models and generative AI tools for the AEC industry. You will partner across functions and groups to create delivery roadmaps, define clear scope, milestones, and success metrics, manage dependencies and risks, and ensure we deliver scalable, secure, reliable, efficient AI/ML solutions and platforms that meet product launch and operational requirements. You will help drive the AEC Generative AI initiative by translating strategic direction and organization-level goals into executable workstreams with clear delivery outcomes. You will influence senior leadership and executive stakeholders as we make important technical decisions and resource commitments, and you will help establish delivery mechanisms that keep teams aligned and unblocked. You will also partner with Product, Engineering, Research, Legal/Privacy, Security, and Customer Success to define launch gates, go/no-go criteria, and operational readiness for delivered AI features., * Collaborate with the AEC Generative AI Leadership team to plan, operationalize, and execute the AEC Generative AI vision with clear delivery outcomes * Drive end-to-end delivery planning (scope, milestones, resourcing, dependencies) across multiple teams and workstreams * Ensure tasks are coordinated, progress is consistently monitored, risks/issues are actively managed, and stakeholders are kept informed * Lead cross-organizational delivery projects to ensure overall alignment with organizational goals, timelines, and release commitments * Own delivery governance: establish cadence, dashboards/status reporting, decision logs, and escalation paths to keep execution on track * Identify, maintain, and grow key partnerships and collaborations with cross-functional, cross-organization stakeholders to enable successful delivery * Anticipate bottlenecks, lead escalations, make tradeoffs, and balance delivery needs versus technical constraints * Define release readiness criteria (quality, privacy, security, reliability, responsible AI, and operational readiness), and coordinate launch gates, go/no-go decisions, rollout, and post-launch stabilization * Simplify technical complexity and lead well-educated decisions across product, engineering, design, and research representatives * Communicate delivery progress across organizational boundaries and levels from individual contributors to senior executives * Define and continuously improve organization-wide processes for project delivery * Champion continuous learning and communication by helping the AEC Generative AI team build technical and soft skills through knowledge sharing, mentoring, and training opportunities * Supervise the update and creation of content in design resources to ensure accuracy and timeliness * Organize and provide essential administrative support for design meetings, reviews, and delivery team members ## Related Videos - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Building Products in the era of GenAI](https://www.wearedevelopers.com/videos/827-building-products-in-the-era-of-genai) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [The shadows that follow the AI generative models](https://www.wearedevelopers.com/videos/624-the-shadows-that-follow-the-ai-generative-models) - [GenAI Is a Junior Dev With Root Access](https://www.wearedevelopers.com/videos/100191-genai-is-a-junior-dev-with-root-access) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)