Senior Site AI Engineer

About Suffolk

Suffolk is a national enterprise that builds, innovates and invests. Suffolk is an end-to-end business that provides value throughout the entire project lifecycle by leveraging its core construction management services with vertical service lines that include real estate capital investment, design, self-perform construction services, technology start-up investment (Suffolk Technologies) and innovation research/development.

Suffolk - America's Contractor - is a national company with more than $5.0 billion in annual revenue, 2,600 employees, and main offices in Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, and San Diego. Suffolk manages some of the most complex, sophisticated projects in the country, serving clients in every major industry sector, including healthcare, life sciences, education, gaming, transportation/aviation, government, mission critical and commercial. 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, click here.

Role

Join Suffolk's project teams across the U.S. as the senior on-site catalyst who turns AI ideas into working reality, while mentoring a distributed network of junior Site AI Engineers. Partnering with each project's AI Champion (Project Manager or Superintendent), you'll uncover pain points, redesign workflows, and deploy GPT / Copilot / custom agents that cut down reporting, accelerate RFIs, simplify look-ahead planning, progress updates, materials tracking, and more. When needed, you will also develop user stories and coordinate development with the central AI Studio. You'll help shape the long-range vision of the "Construction Site of the Future," showing how agentic AI will transform project management operations.

Location: Starting location - Cedar Rapids, Iowa, with flexibility to relocate within 6-12 months to a major metropolitan area on the East Coast.

Opportunity hunting and workflow redesign - Lead Lean/Six Sigma discovery workshops; map value streams, assess process and data maturity, and log low-effort/high-impact AI use cases.
• Process and data maturity assessment - Evaluate each jobsite's current workflows and underlying data; surface gaps that block AI adoption and develop phased improvement plans with Operations Excellence to establish the right process baseline before deploying agents.
• Assess the market solutions - Evaluate off-the-shelf and platform tools; launch pilots, measure impact, and scale wins.
• Rapid AI agents builds - Convert user stories into production-ready agents in Copilot Studio, Power Apps/Automate, ChatGPT Enterprise or code-first frameworks within days; wire them to Teams/SharePoint on the front end and Databricks Lakehouse (AWS S3) or other sources on the back end.
• Enterprise-grade engineering & LLMOps - Build RAG pipelines backed by Delta tables, Unity Catalog, and Databricks Vector Search; automate infra with GitHub Actions / Posit; monitor latency, cost, adoption, and drift.
• Data integrations - Partner with Data Engineering to design and maintain ETL pipelines, API integrations, and event-driven connectors feeding RAG and agents.
• Cross-cloud orchestration - Blend OpenAI, Azure OpenAI, and AWS Bedrock behind secure custom connectors; package agents for seamless rollout.
• Change enablement - Train crews, gather feedback, iterate, and track adoption and ROI metrics; apply influence model principles to embed agents into daily routine and SOPs, track behavior change KPIs.
• Mentorship & oversight - Provide architectural reviews, pair-programming, and code standards for Site AI Engineers, mentor on opportunity hunting and workflow redesign, host bi-weekly guild calls to share best practices.
• Strategic storytelling & executive influence - Brief project executives and clients on Agentic AI impact in clear business terms, articulate AI vision and Suffolk's "Construction Site of the Future"; Contribute use-cases and playbooks for Suffolk's "Construction Site of the Future" initiative.
• Product & portfolio ownership - Treat every AI agent as a product: maintain a roadmap, release plan, and success metrics; manage related epics in Jira.
• Escalation & hand-off - Draft clear user stories, data specs, and acceptance criteria for any complex solution that requires the central AI Solution Engineers or Data Engineering / Data Science team to lean in.
• Compliance - Ensure every on-site AI tool meets Suffolk's information security, data governance, and client confidentiality standards.

• 6+ years in data/AI engineering / full-stack data applications or data science, including 3+ years building production LLM/RAG solutions (ChatGPT Enterprise, Azure OpenAI, AWS Bedrock).
• Bachelor's and Master's in Computer Science, Physics, Engineering or associated fields.
• Prior hands-on work in heavy process industries (manufacturing, oil & gas, chemicals) or construction environments is a significant plus.
• Demonstrated process-excellence background (Lean/Six Sigma Green/Black Belt) with a track record of diagnosing process and data gaps and steering change management plans in partnership with Operations Excellence.
• Exceptional facilitation and communication skills-comfortable running discovery sessions, white-boarding with PMs, and demoing prototypes to senior leaders.
• Demonstrated product-management mindset: roadmap ownership, KPI definition, and budget/risk trade-off communication.
• Hands-on experience leading change initiatives and measuring adoption by teams.
• Track record of mentoring engineers and building community of practice around AI.
• Hands-on expertise with Copilot Studio, Power Apps/Automate, custom connectors, Dataverse, and CoE Toolkit governance.
• Programming & data stack: Python, SQL, Databricks Lakehouse (Delta, Unity Catalog, MLflow), vector stores.
• DevOps & IaC: GitHub Actions (or Azure DevOps) and Posit Workbench/Connect automation or comparable CI/CD tooling; strong Git/GitHub workflow discipline.
• Integration & ETL skills: Foundational understanding of ETL/ELT design, Airflow or Databricks Workflows, and REST/GraphQL API development; proven track record collaborating with Data Engineering on source-to-lake and lake-to-agent pipelines.
• Willing and able to travel and work on active jobsites.

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.

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.