AI Program Lead

Description

• Oversee the maturation of successful pilots into scalable, enterprise-ready AI solutions.
• Drive structured rollout plans, including training, change management, and adoption tracking across additional project sites.
• Guide engineering decisions made by Site AI Engineers around:
• Translate technical outcomes into clear business language that highlights productivity, efficiency, and risk-reduction impacts.
• Establish weekly and monthly operating rhythms across all pilot sites, consolidating insights, blockers, and opportunities into executive-ready reporting.
• 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).
• Champion the value of AI-enabled operations by sharing success stories, metrics, and playbooks.
• Partner with Operations, Safety, Quality, Scheduling, and Finance stakeholders to validate, prioritize, and roadmap AI features.
• Synthesize field-discovered AI use cases, workflow redesign opportunities, and learnings into clear recommendations for enterprise adoption.
• Coordinate cross-functional teams (AI Studio, Data Engineering, IT, Operations Excellence) in packaging solutions for wider deployment.
• Ensure alignment with Suffolk’s broader technology and operations roadmap, connecting jobsite innovation with strategic business initiatives.
• Act as the bridge between field operations, Operations Excellence leadership, and the central AI Studio.
• Ensure solutions developed in the field adhere to Suffolk’s evolving AI platform standards and engineering best practices.
• 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.
• Work closely with Operations to develop and execute training, communication, and change management plans for new AI tools.
• Prepare and deliver briefings for project leadership, Operations executives, and ELT stakeholders.
• Serve as a visible ambassador for the Jobsite of the Future vision, internally and with clients.

Requirements

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

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance