AI Technical Lead

Commonwealth of Massachusetts•Boston, MA

12h•Hybrid

About The Position

The AI Technical Lead provides technical leadership for the Commonwealth's AI platforms and products, ensuring they are secure, scalable, reliable, and operationally sustainable. The role establishes engineering standards, deployment pipelines, and cloud architecture that help AI solutions move from proof of concept into enterprise production. It partners with Product Management, agency technical teams, security, data, and enterprise architecture to modernize technology, support responsible AI adoption, and reduce barriers to delivering AI-enabled public services. The role combines software engineering expertise with hands-on experience deploying AI and machine learning solutions in production. The successful candidate will define technical strategy, mentor engineers, advise agency teams, and translate business and policy objectives into practical technical solutions. The primary work location is 1 Ashburton Place, Boston, Massachusetts 02108. The schedule is Monday through Friday, 9:00 AM to 5:00 PM EST, with a hybrid model that combines in-office and work-from-home days as needed.

Requirements

At least three years of full-time or equivalent part-time professional or practical experience in information technology security, or an equivalent combination of experience and qualifying education substitutions.
Five or more years of progressively responsible software, systems, or platform engineering experience, including work on complex technical solutions.
Hands-on experience deploying AI and machine learning systems in production environments.
Strong experience with cloud platforms, CI/CD pipelines, DevSecOps, infrastructure automation, and operational engineering practices.
Ability to translate product strategies and policy goals into scalable technical architectures and implementation plans.
Excellent written and verbal communication skills with technical and non-technical stakeholders.
Experience collaborating with engineering teams, providing technical guidance, and contributing to technical standards and best practices.
Comfort operating within security, privacy, accessibility, compliance, and governance requirements.
A related associate degree may substitute for one year of required experience; a related bachelor's degree or higher may substitute for two years; a related master's degree or higher may substitute for the required experience.

Nice To Haves

Experience supporting technology modernization initiatives, particularly integration with legacy enterprise systems.

Responsibilities

Lead technical delivery for enterprise AI platforms and products, establishing engineering standards and reference architectures.
Lead solution engineering for the Commonwealth AI Assistant, ChatGPT.
Design, implement, and maintain secure cloud-native AI infrastructure, deployment pipelines, CI/CD processes, DevSecOps practices, and MLOps capabilities.
Develop reusable engineering patterns, APIs, and shared services that enable agencies to adopt AI efficiently and consistently.
Partner with the AI Product Management Lead to evaluate technical feasibility, estimate effort, and translate product roadmaps into scalable technical solutions.
Advise agency engineering teams on architecture, implementation planning, and operational readiness while enabling agencies to own long-term solutions.
Identify opportunities to modernize legacy technology through AI-enabled capabilities and shared platforms.
Ensure reliability, observability, security, performance, and lifecycle management for AI applications transitioning into production.
Collaborate with enterprise architecture, cybersecurity, data, digital services, procurement, vendors, and agency technology leaders.