Site AI Engineer

On-site Site AI Engineer in Charlotte Amalie, VI, turning AI ideas into deployed agents and redesigned workflows on construction sites.

Responsibilities

• Identify opportunities and redesign workflows by leading discovery, mapping value streams, evaluating current processes and data maturity, and documenting high impact, low effort AI use cases
• Assess jobsite process and data maturity; review workflows and data foundations, surface gaps blocking AI adoption, and develop phased improvement plans with Operations Excellence to establish baselines before deploying agents
• Evaluate market solutions; review off-the-shelf and platform tools, run pilots, measure results, and scale successful implementations
• Deliver rapid MVP AI agents from user stories using AWS Bedrock, Sagemaker, ChatGPT Enterprise, and other frameworks within days; leverage AI coding assistants; connect front ends to Teams/SharePoint and back ends to Databricks Lakehouse, AWS services, or other data sources
• Develop enterprise grade engineering and LLMOps for agentic RAG pipelines backed by Opensearch and other data stores; automate infrastructure with GitHub Actions; monitor latency, cost, adoption, and drift
• Collaborate with Data Engineering to design and maintain ETL pipelines, API integrations, and event-driven connectors feeding RAG and agents
• Orchestrate cross cloud solutions by combining AWS Bedrock, OpenAI components, and Azure OpenAI behind secure connectors; package agents for seamless rollout
• Drive change enablement by training crews, collecting feedback, iterating, and tracking adoption and ROI; apply influence-model practices to embed agents into daily routines and SOPs; monitor behavior change KPIs
• Communicate with project leadership and clients on agent impact in business terms; contribute use cases and playbooks for Suffolk's Construction Site of the Future
• Escalation and hand-off: draft precise user stories, data specs, and acceptance criteria for complex solutions requiring central AI Solution Engineers or Data Engineering/Data Science teams; collaborate to turn prototypes into enterprise-grade applications
• Ensure on-site AI tools comply with Suffolk’s information security, data governance, and client confidentiality standards

Requirements

• 4 to 6 plus 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 work in construction or heavy process industries (manufacturing, oil & gas, chemicals) is a significant plus
• Proven process excellence background (Lean or Six Sigma Green Belt a strong plus) with experience diagnosing process and data gaps and supporting change management with Operations Excellence
• Strong facilitation and communication skills
• Hands-on expertise with Claude Code, Devin AI, MS Copilot, and other coding assistants
• Programming and data stack: Python, SQL, FastAPI, Databricks Lakehouse, vector stores
• DevOps and IaC: GitHub Actions, Terraform or CloudFormation automation, or comparable CI/CD tooling; solid Git/GitHub discipline
• Integration and 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

• Python
• SQL
• Fast API
• Databricks Lakehouse
• Vector stores
• AWS Bedrock
• Sagemaker
• ChatGPT Enterprise
• Teams
• SharePoint
• Opensearch
• GitHub Actions
• Terraform
• CloudFormation
• REST
• GraphQL
• Airflow
• Databricks Workflows
• Claude Code
• Devin AI
• MS Copilot
• OpenA
• Azure OpenAI

Benefits

• Competitive salaries
• Auto allowances and gas cards for certain roles
• Market leading medical and mental health benefits
• Dental coverage
• Vision insurance
• Virtual care options for physical therapy and primary care
• Generous paid time off
• 401k plan 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
• Commuter benefits

Role

• Join Suffolk project teams nationwide as the on-site catalyst who turns AI ideas into working solutions
• Partner with each project’s AI Champion to identify pain points, redesign workflows, and deploy AI agents that reduce reporting, accelerate RFIs, improve lookahead planning, progress updates, and materials tracking
• Develop user stories and coordinate development with the central AI Studio when needed
• Support advancement of Suffolk's Construction Site of the Future initiative

Working Conditions

Regularly required to sit for long periods, communicate verbally, and use a keyboard; may stand, walk, and reach; vision needed for close and distance tasks and focus adjustments; typical office environment with quiet to moderate noise levels.

EEO Statement

Suffolk provides equal employment opportunities to all applicants and employees regardless of 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 recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms of employment.

Compensation Information

Base salary is one component of Suffolk's total rewards package; actual salaries depend on skills, experience, education and other qualifications. Suffolk offers a comprehensive benefits package. Salary ranges are posted where required by law and are reviewed regularly to reflect market trends.