AI Program Lead

Overview

Lead AI pilots across construction sites, manage engineers, scale solutions enterprise-wide.

Key Responsibilities

• ai program
• pilot scaling
• stakeholder management
• executive reporting
• training rollout
• compliance

Tasks

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. -Prepare and deliver briefings for project leadership, Operations executives, and ELT stakeholders. -Synthesize field-discovered AI use cases, workflow redesign opportunities, and learnings into clear recommendations for enterprise adoption. -Partner with Operations, Safety, Quality, Scheduling, and Finance stakeholders to validate, prioritize, and roadmap AI features. -Lead the Jobsite of the Future AI program across multiple pilot projects, ensuring consistency, alignment, and shared learning. -Translate technical outcomes into clear business language that highlights productivity, efficiency, and risk-reduction impacts. -Guide engineering decisions made by Site AI Engineers around: -Oversee the maturation of successful pilots into scalable, enterprise-ready AI solutions. -Ensure solutions developed in the field adhere to Suffolk’s evolving AI platform standards and engineering best practices. -Establish weekly and monthly operating rhythms across all pilot sites, consolidating insights, blockers, and opportunities into executive-ready reporting. -Directly manage and mentor Site AI Engineers deployed to active jobsites, providing technical guidance, workflow redesign support, and development coaching. -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. -Champion the value of AI-enabled operations by sharing success stories, metrics, and playbooks. -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. -Ensure each new solution meets enterprise requirements for security, compliance, data governance, and client confidentiality (mirroring expectations from Site AI Engineer roles). -Act as the bridge between field operations, Operations Excellence leadership, and the central AI Studio. -Serve as a visible ambassador for the Jobsite of the Future vision, internally and with clients. -Ensure alignment with Suffolk’s broader technology and operations roadmap, connecting jobsite innovation with strategic business initiatives.

Requirements

• databricks
• aws bedrock
• azure openai
• delta lake
• vector search
• lean six sigma

What You Bring

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. -RAG pipelines, Delta Lake/Unity Catalog integrations, and vector search. -Experience leading enterprise rollout of new digital or AI capabilities. -Workflow automation, API integrations, and ETL/ELT data flows. -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. -Demonstrated experience synthesizing complex technical and operational insights into clear, actionable plans. -Experience with Lean/Six Sigma methods or workflow redesign. (This echoes expectations from the Site AI Engineer role. ) -Use of Databricks, AWS Bedrock, Azure OpenAI, and cross-cloud custom connectors. -Prior work integrating multi-cloud AI services (AWS Bedrock, Azure OpenAI, OpenAI API). -Ability to travel regularly to active construction jobsites. -Background in construction, heavy industry, or field operations environments. -Strong familiarity with Databricks Lakehouse (Delta, Unity Catalog), vector search, API integrations, and CI/CD tooling (GitHub Actions or similar). -Hands-on experience building or overseeing production LLM/RAG systems, data integrations, and AI workflow automation at scale. -Proven ability to coach and lead technical teams. -Excellent communication skills with the ability to engage field personnel, operations leaders, and executives.

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Benefits

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.

About Suffolk Construction

-From its Boston headquarters, they expanded through strategic acquisitions in healthcare and regional offices across the US. -Their portfolio spans iconic projects like Wynn Everett casino, GE’s Boston headquarters, major airports, and mixed-use towers. -They offer full-spectrum services: pre-construction, construction management, general contracting, and design-build. -They operate Centers of Excellence across sectors such as aviation, mission-critical, education, healthcare, and hospitality. -Their approach combines cutting-edge technologies like AI, VR, and virtual design with collaborative, people-focused execution. -Notable innovations include VR groundbreaking ceremonies and AI-driven risk modeling on complex builds. -Projects range from large-scale casinos and airport terminals to universities, residential towers, and mission-critical facilities. -Despite its scale, they maintain a reputation for a regimented culture and a meritocratic, performance-driven ethos.

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