Job Description

Overview:

Our client 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 national project portfolio.

You will play a pivotal role in connecting field experimentation with enterprise strategy—accelerating how our client 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 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.

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.

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