At Suffolk Construction projects, the Site AI Engineer serves as an on-site catalyst, partnering with AI Champions to surface opportunities, redesign workflows, and deploy agentic AI tools that advance field operations. Based in New Haven, CT, this role spans discovery, data readiness, MVP agent development, LLMOps, and cross-cloud deployments, contributing to the vision of the Construction Site of the Future.
Responsibilities
- Lead discovery to map value streams, assess process and data maturity, and identify high-impact, low-effort AI use cases.
- Evaluate jobsite workflows and underlying data to surface gaps and craft phased improvement plans with Operations Excellence to establish a solid baseline before deploying agents.
- Assess market solutions, run pilots, measure impact, and scale successful implementations.
- Build MVP AI agents quickly from user stories using AWS Bedrock, Sagemaker, ChatGPT Enterprise and other frameworks; connect front-end to Teams/SharePoint and back-end to Databricks Lakehouse, AWS services, or other sources.
- Engineer enterprise-grade LLM operations and RAG pipelines backed by data stores like Opensearch; automate infrastructure with GitHub Actions and monitor latency, cost, adoption, and drift.
- Collaborate with Data Engineering to design and maintain ETL pipelines, API integrations, and event-driven connectors feeding agents and RAG systems.
- Orchestrate cross-cloud deployments by blending AWS Bedrock, OpenAI, and Azure OpenAI behind secure connectors for smooth rollout.
- Drive change enablement through crew training, feedback collection, iteration, and tracking of adoption and ROI metrics; apply behavioral change principles to embed agents into daily routines and SOPs.
- Communicate progress and business impact to project leadership and clients; contribute use cases and playbooks for Suffolk’s Construction Site of the Future.
- Draft clear user stories, data specs, and acceptance criteria to hand off complex solutions to central AI Studio or Data Engineering teams for scaling prototypes into enterprise-grade applications.
- Ensure on-site AI tools comply with Suffolk information security, data governance, and client confidentiality standards.
Requirements
- 4–6+ years in AI engineering, full-stack data applications, or data science, including at least 2+ years building production LLM, RAG, or agentic solutions.
- Bachelor’s degree in CS, Engineering, Physics, or a related field; Master’s degree preferred.
- Hands-on experience in construction or heavy process industries (manufacturing, oil & gas, chemicals) is a strong plus.
- Proven process excellence background (Lean or Six Sigma Green Belt highly valued) with ability to diagnose process and data gaps and support change management with Operations Excellence.
- Strong facilitation and communication skills.
- Hands-on experience with coding assistants such as Claude Code, Devin AI, MS Copilot, among others.
- Proficiency in Python, SQL, FastAPI, Databricks Lakehouse, and vector stores.
- DevOps and IaC experience with GitHub Actions, Terraform or CloudFormation; solid Git/GitHub workflow discipline.
- Foundational ETL/ELT design knowledge, experience with Airflow or Databricks Workflows, and REST/GraphQL API development; collaboration with Data Engineering on pipelines.
- Willingness and ability to travel and work on active jobsites.
Technologies
- Claude Code
- Devin AI
- MS Copilot
- Python
- SQL
- FastAPI
- Databricks Lakehouse
- Vector stores
- GitHub Actions
- Terraform
- CloudFormation
- AWS Bedrock
- Sagemaker
- ChatGPT Enterprise
- Teams/SharePoint
- AWS services
- OpenAI
- OpenSearch
- REST
- GraphQL
- Airflow
- Databricks Workflows
- Azure OpenAI
Benefits
- Competitive salaries
- Auto allowances and gas cards for certain roles
- Medical benefits
- Mental health and emotional well being support
- Dental insurance
- Vision insurance
- Virtual care options for physical therapy and primary care
- Generous paid time off
- 401k with employer match
- Access to expert financial resources
- Company paid and voluntary life insurance
- Tax deferred savings accounts
- 10 backup daycare days per year
- Short- and long-term disability coverage
- Commuter benefits
Location
New Haven, Connecticut
Working Conditions
Regularly seated work with use of keyboard and phone; occasional standing, walking, and reaching; requires close and distance vision, depth perception, and focus for extended periods; primarily office environment with site exposure as needed.
EEO Statement
Suffolk provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran status, gender identity, age, or any other status protected by law. This policy covers all aspects of employment including recruitment, hiring, transfers, promotions, compensation, benefits, and termination.
Compensation Information
The expected salary range for this position in New Haven, CT is between $152,000 and $222,600 per year. This range reflects typical compensation for the role and may vary based on skills, experience, education, and other qualifications. Suffolk offers a comprehensive benefits package as part of the total compensation.
