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# AI Technical Lead

- **Company:** Commonwealth of Massachusetts
- **Location:** Boston, MA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $107,164.0 - $157,374.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Engineering, Cyber Security, Continuous Integration, Software Product Management, Software Engineering, AI Infrastructure, Delivery Pipeline, AI Platforms, Infrastructure Automation Frameworks, Machine Learning Operations, Virtual Agents, GPT, Devsecops
- **Published:** October 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=970ce841a9b679ed

## About the Role

* Five (5) 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.
 * Experience supporting technology modernization initiatives, particularly integration with legacy enterprise systems, a plus.
 * Ability to translate product strategies and policy goals into scalable technical architectures and implementation plans.
 * Excellent written and verbal communication skills with both 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., Applicants must have (A) at least three (3) years of full-time or equivalent part-time professional or practical experience in the field of information technology security, or (B) any equivalent combination of the required experience and the substitutions below.
Substitutions:
I. An Associate's degree in a related field may substitute for one (1) year of the required experience.
II. A Bachelor's degree or higher in a related field may substitute for two (2) years of the required experience.
III. A Master's degree or higher in a related field may substitute for the required experience.

## Description

The AI Technical Lead provides technical leadership for the Commonwealth's AI platforms and products, ensuring they are secure, scalable, reliable, and operationally sustainable. This role establishes engineering standards, deployment pipelines, and cloud architecture that enable AI solutions to move efficiently from proof of concept into enterprise production. The role partners closely with Product Management, agency technical teams, security, data, and enterprise architecture to modernize technology, accelerate responsible AI adoption, and reduce barriers to delivering AI-enabled public services.

The ideal candidate combines deep software engineering expertise with hands-on experience deploying AI and machine learning solutions in production environments. They are equally comfortable defining technical strategy, mentoring engineers, advising agency teams, and translating business and policy objectives into practical technical solutions.

The primary work location for this role is 1 Ashburton Place Boston, Massachusetts 02108. The work schedule is Monday - Friday, 9:00 AM - 5:00 PM EST. This position is expected to follow a hybrid model of reporting to work that combines in-office workdays and work from home days as needed.

Major 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.