On-site Site AI Engineer based in Dallas, TX, collaborates with project AI Champions to translate AI concepts into deployed solutions on active project sites. The role focuses on redesigning workflows and deploying AI agents that enhance reporting, RFIs, lookahead planning, progress updates, and materials tracking.
Overview
Suffolk Construction is a national contractor that builds, innovates, and invests across the project lifecycle. It delivers value through core construction management services and complementary business lines in real estate investment, design, self-perform construction, and technology ventures (Suffolk Technologies). By integrating data, artificial intelligence, and advanced technology via the Seamless Platform, Suffolk connects design, construction, and operations to support smarter delivery.
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 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 infrastructure 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 input from the central AI Solution Engineers or Data Engineering / Data Science teams; collaborate to turn prototypes into enterprise-ready, scaled applications.
- Compliance – Ensure every on-site AI tool meets Suffolk’s information security, data governance, and client confidentiality standards.
Requirements
- 4 to 6+ years in AI engineering, full-stack data applications, or data science, including 2+ years building production LLM, RAG, and agent-based solutions.
- Bachelor's degree in Computer Science, Engineering, Physics, or a related field; a Master’s degree is preferred.
- Hands-on work experience in construction or heavy process industries (manufacturing, oil & gas, chemicals) is highly desirable.
- Proven process excellence background, with Lean or Six Sigma Green Belt as a strong plus; 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 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 workflow discipline.
- Integration and ETL: 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
- FastAPI
- Databricks Lakehouse
- Vector stores
- GitHub Actions
- Terraform
- CloudFormation
- Airflow
- REST
- GraphQL
- AWS Bedrock
- SageMaker
- ChatGPT Enterprise
- OpenAI
- Azure OpenAI
- OpenSearch
- Teams
- SharePoint
- Databricks Workflows
- Claude Code
- Devin AI
- MS Copilot
Benefits
- Competitive salaries
- Auto allowances and gas cards for certain roles
- Medical benefits including emotional and mental health support
- Dental insurance
- 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-term and long-term disability
- Commuter benefits
Location
Dallas, TX (onsite)
Working Conditions
During duties, the role requires prolonged sitting, frequent speaking and listening, and keyboard use. The position involves standing, walking, and reaching with arms and hands. Visual requirements include near and far vision, depth perception, and focus adjustment. Work is performed in an office environment with a quiet to moderate setting.
EEO Statement
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 status, 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.
Compensation Information
Where required by law, pay ranges can be found in Suffolk's job postings. Base salary is one component of Suffolk's total rewards package, with actual salaries determined by factors such as skill set, experience, education, and other qualifications. Suffolk offers a comprehensive benefits package as part of its total rewards strategy. Salary ranges are reviewed regularly to reflect market trends.
