On the on-site team in New Haven, CT, the Site AI Engineer translates AI concepts into practical tools on active construction projects. You will collaborate with each project’s AI Champion to redesign workflows and deploy AI agents that improve reporting, accelerate RFIs, lookahead planning, progress updates, and materials tracking.
This role offers a base salary range of USD 170,000 to 222,600 per year and requires a bachelor’s degree along with 4+ years of AI engineering or related experience.
Responsibilities
- Opportunity hunting and workflow redesign – Lead discovery; map value streams, assess process and data maturity, and log low-effort/high-impact AI use cases.
- Process and data maturity assessment – Evaluate 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-agent builds – Convert user stories into MVP agents in AWS Bedrock/Sagemaker, ChatGPT Enterprise, and other frameworks within days, with heavy use of AI coding assistants; wire them to Teams/SharePoint on the front end and Databricks Lakehouse, AWS services, or other sources on the back end.
- Enterprise-grade engineering & LLMOps – Build Agentic RAG pipelines backed by OpenSearch and other data stores; automate infra with GitHub Actions; 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 AWS Bedrock, OpenAI and Azure OpenAI 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 routines and SOPs, and track behavior change KPIs.
- Stakeholder communication – Brief project leadership and clients on agent impact in clear business terms; contribute use cases and playbooks for Suffolk’s “Construction Site of the Future.”
- Escalation & hand-off – Draft clear user stories, data specs, and acceptance criteria for complex solutions that require collaboration with the central AI Studio, Data Engineering, and Data Science teams to scale prototypes into enterprise-ready applications.
- Compliance – Ensure every on-site AI tool meets information security, data governance, and client confidentiality standards.
Requirements
- 4–6+ years in AI engineering / full-stack data applications or data science, including 2+ years building production LLM/RAG/Agentic solutions.
- Bachelor’s in Computer Science, Engineering, Physics, or a related field; Master’s preferred.
- Prior hands-on work in construction or heavy process industries (manufacturing, oil & gas, chemicals) is a significant plus.
- Demonstrated process excellence background (Lean/Six Sigma Green Belt a huge plus) with experience diagnosing process and data gaps and supporting change management plans with Operations Excellence.
- Strong facilitation and communication skills.
- Hands-on expertise with Claude Code, Devin AI, MS Copilot, and other coding assistants.
- Programming & data stack: Python, SQL, FastAPI, Databricks Lakehouse, vector stores.
- DevOps & IaC: GitHub Actions, Terraform or CloudFormation 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 collaboration with Data Engineering on source-to-lake and lake-to-agent pipelines.
- Willing and able to travel and work on active jobsites.
Technologies
AWS Bedrock, SageMaker, ChatGPT Enterprise, Teams, SharePoint, Databricks Lakehouse, Databricks Workflows, OpenSearch, GitHub Actions, Terraform, CloudFormation, Airflow, REST, GraphQL, Azure OpenAI, OpenAI, Claude Code, Devin AI, MS Copilot, Python, SQL, FastAPI, Git
Role
Join Suffolk’s project teams across the United States as the on-site catalyst who turns AI ideas into working solutions. Collaborating with each project’s AI Champion, you will uncover pain points, redesign workflows, and deploy AI agents that streamline reporting, accelerate RFIs, simplify lookahead planning, progress updates, and materials tracking. When needed, you will develop user stories and coordinate development with the central AI Studio to advance the Construction Site of the Future.
Benefits
- Competitive salaries
- Auto allowances and gas cards for certain roles
- Medical benefits
- Mental health benefits
- Dental insurance
- Vision insurance
- Virtual care options for physical therapy and primary care
- Generous paid time off
- 401(k) plan with employer match
- Company-paid life insurance
- Voluntary life insurance
- Tax-deferred savings accounts
- Backup daycare days per year
- Short-term disability
- Long-term disability
- Commuter benefits
