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AI Program Lead

Suffolk Construction
life insurance, vision insurance, paid time off, 401(k)
United States, Massachusetts, Boston
65 Allerton Street (Show on map)
Nov 20, 2025

AI Program Lead




ID
2025-10094


Job Location : Location

US-MA-Boston

Type
Regular Full-Time

Category/Department
Artificial Intelligence



Overview

About Suffolk

Suffolk is a national enterprise that builds, innovates, and invests. We provide value across the entire project lifecycle through our core construction management services and complementary business lines in real estate investment, design, self-perform construction, and technology start-up investment (Suffolk Technologies). By integrating data, artificial intelligence, and advanced technology through our Seamless Platform, we connect design, construction, and operations to deliver smarter, more predictable results and redefine how America builds.

Suffolk - America's Contractor - is a national company with more than $8 billion in annual revenue, 3,000 employees, and 17 offices, including Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, San Diego, Las Vegas, Herndon, U.S. Virgin Islands, and other key markets. Suffolk manages some of the most complex and transformative projects in the country, serving clients across healthcare, life sciences, education, gaming, aviation, transportation, government, mission critical, and commercial sectors. Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 on ENR's list of "Top CM-at-Risk Contractors." For more information, visit www.suffolk.com and follow Suffolk on Facebook, Twitter, LinkedIn, YouTube, and Instagram.

At Suffolk, we believe that our total rewards program should offer you and your family the support you need when it matters most. That's why we have created a program that provides employees with access to a wide variety of options that can be personalized to support you and your loved ones physically, emotionally, and financially.

Benefits include, competitive salaries, auto allowances and gas cards for certain roles, access to market leading medical and emotional and mental health benefits, dental, and vision insurance plans, virtual care options for physical therapy and primary care, generous paid time off, 401k plan with employer match and access to expert financial resources, company paid and voluntary life insurance, tax deferred savings accounts, 10 backup daycare days each year, short- and long-term disability, commuter benefits and more. For more information, clickhere.

Overview

Suffolk is building the future of construction by fusing deep field expertise with cutting-edge AI innovation. As part of our Jobsite of the Future initiative, we are deploying a cohort of Site AI Engineers across select pilot projects to rapidly identify pain points, redesign workflows, and deploy agentic AI solutions that transform project delivery.

The JoF AI Program Lead will serve as the orchestrator and strategic integrator across all Jobsite of the Future pilots. In this role, you will oversee 3-4 Site AI Engineers, synthesize insights and use cases emerging from the field, coordinate closely with Operations leadership at HQ, and ensure that successful solutions are matured, hardened, and rolled out across Suffolk's national project portfolio.

You will play a pivotal role in connecting field experimentation with enterprise strategy-accelerating how Suffolk discovers, validates, and scales AI-driven operational excellence. This is a highly cross-functional, high-visibility leadership role requiring a blend of technical depth, operational empathy, and strategic program execution.



Responsibilities

Program Leadership & Coordination

    Lead the Jobsite of the Future AI program across multiple pilot projects, ensuring consistency, alignment, and shared learning.
  • Directly manage and mentor Site AI Engineers deployed to active jobsites, providing technical guidance, workflow redesign support, and development coaching.
  • Establish weekly and monthly operating rhythms across all pilot sites, consolidating insights, blockers, and opportunities into executive-ready reporting.

Field-HQ Integration

  • Act as the bridge between field operations, Operations Excellence leadership, and the central AI Studio.
  • Synthesize field-discovered AI use cases, workflow redesign opportunities, and learnings into clear recommendations for enterprise adoption.
  • Ensure alignment with Suffolk's broader technology and operations roadmap, connecting jobsite innovation with strategic business initiatives.
  • Partner with Operations, Safety, Quality, Scheduling, and Finance stakeholders to validate, prioritize, and roadmap AI features.

Solution Validation & Enterprise Rollout

  • Oversee the maturation of successful pilots into scalable, enterprise-ready AI solutions.
  • Coordinate cross-functional teams (AI Studio, Data Engineering, IT, Operations Excellence) in packaging solutions for wider deployment.
  • Drive structured rollout plans, including training, change management, and adoption tracking across additional project sites.
  • Ensure each new solution meets enterprise requirements for security, compliance, data governance, and client confidentiality (mirroring expectations from Site AI Engineer roles).

Technical Oversight & Architecture Alignment

  • Guide engineering decisions made by Site AI Engineers around:
    • RAG pipelines, Delta Lake/Unity Catalog integrations, and vector search.
    • Use of Databricks, AWS Bedrock, Azure OpenAI, and cross-cloud custom connectors.
    • Workflow automation, API integrations, and ETL/ELT data flows.
  • Ensure solutions developed in the field adhere to Suffolk's evolving AI platform standards and engineering best practices.

Change Management & Adoption Enablement

  • Work closely with Operations to develop and execute training, communication, and change management plans for new AI tools.
  • Track business impact, adoption, and behavior change KPIs across jobsites.
  • Champion the value of AI-enabled operations by sharing success stories, metrics, and playbooks.

Stakeholder Engagement & Executive Communication

  • Prepare and deliver briefings for project leadership, Operations executives, and ELT stakeholders.
  • Translate technical outcomes into clear business language that highlights productivity, efficiency, and risk-reduction impacts.
  • Serve as a visible ambassador for the Jobsite of the Future vision, internally and with clients.


Qualifications

  • 7-10+ years experience across AI engineering, full-stack development, data engineering, or intelligent workflow automation-at least 3+ years in a leadership or program or product management capacity.
  • Hands-on experience building or overseeing production LLM/RAG systems, data integrations, and AI workflow automation at scale.
  • Strong familiarity with Databricks Lakehouse (Delta, Unity Catalog), vector search, API integrations, and CI/CD tooling (GitHub Actions or similar).
  • Demonstrated experience synthesizing complex technical and operational insights into clear, actionable plans.
  • Proven ability to coach and lead technical teams.
  • Excellent communication skills with the ability to engage field personnel, operations leaders, and executives.
  • Ability to travel regularly to active construction jobsites.

Preferred

  • Background in construction, heavy industry, or field operations environments.
  • Experience with Lean/Six Sigma methods or workflow redesign. (This echoes expectations from the Site AI Engineer role. )
  • Prior work integrating multi-cloud AI services (AWS Bedrock, Azure OpenAI, OpenAI API).
  • Experience leading enterprise rollout of new digital or AI capabilities.


Working Conditions

While performing the duties of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills in the use of a keyboard, telephone, or writing. The employee is frequently required to stands; walk; and reach with arms and/or hands. Specific vision abilities include close vision, distance vision, depth perception and the ability to adjust focus. The employee will spend their time in an office environment with a quiet to moderate noise level. Job site walking.



EEO Statement

Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law. This policy applies to recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms and conditions of employment. Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees by anyone at Suffolk, or anyone working on behalf of Suffolk.



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