AI Solutions Engineer

About Suffolk

Suffolk is a leading national enterprise focused on building, innovating, and investing. We provide comprehensive value across the project lifecycle, utilizing construction management services along with vertical service lines such as real estate investment, design, self-perform construction services, technology start-up investments, and innovation research and development.

As Suffolk - America's Contractor, our company boasts over $5.0 billion in annual revenue and is supported by a dedicated team of 2,600 employees across major cities including Boston, New York City, Miami, Los Angeles, and more. We manage complex projects across multiple sectors like healthcare, education, government, and commercial, consistently ranked among the top in our industry. For more information, visit www.suffolk.com.

At Suffolk, we’re committed to creating a total rewards program that best supports you and your family. Our benefits package includes competitive salaries, a variety of medical and health benefits, generous paid time off, a 401k plan with employer match, and more.

Role

Join Suffolk's AI Studio in reshaping the future of construction management through innovative AI solutions. Collaborating with Product Managers, Site AI Engineers, and Data Engineers, you'll tackle challenges, enhance workflows, and develop AI agents to streamline reporting, RFIs, project updates, and materials tracking. You will build secure, scalable, and high-performance AI agents using advanced technologies like AWS Bedrock and Databricks, forming the backbone of Suffolk's Construction Site of the Future.

The AI Solutions Engineer will lay the groundwork for scalable jobsite AI, focusing on technical excellence and platform reliability to transform construction project execution.

Responsibilities

• AI Product Engineering & Deployment
• Translate product requirements and user stories into robust AI solutions utilizing AWS Bedrock, Lambda, ECS / EKS, and Databricks.
• Implement RAG pipelines with Delta tables, Unity Catalog, and Vector Search.
• Design multi-model agents that dynamically select LLMs based on task context, cost, and latency.
• Develop multi-agent orchestration frameworks for enhanced collaboration among specialized agents.
• Oversee the entire lifecycle of product delivery, including design, development, testing, deployment, and maintenance.
• Full-Stack & Backend Development
• Build APIs, backend services, and agentic workflows using Python, FastAPI, LangChain, and AWS SDKs.
• Create reusable connectors for multi-model agents.
• Develop front-end integrations for Teams and web applications via REST or GraphQL.
• Data Engineering & Integration
• Collaborate with Data Engineering to establish reliable ETL / ELT pipelines into the Databricks Lakehouse.
• Enhance data access and responsiveness for AI functionality.
• Develop tools for monitoring data quality and performance.
• DevOps & Platform Automation
• Utilize Terraform and AWS CDK to automate infrastructure and deployments.
• Implement best practices for LLMOps including cost monitoring and model versioning.
• Ensure robust security and compliance in all processes.
• Collaboration & Communication
• Work alongside cross-functional teams in Agile sprints to rapidly iterate on solutions.
• Clearly articulate technical progress to non-technical stakeholders and contribute to internal documentation.

Qualifications

Working Conditions

This role requires the ability to sit for extended periods, engage in fine motor skills with a keyboard, and occasionally walk or reach. The work environment is primarily in an office setting with moderate noise. Job site walking may be required.

EEO Statement

Suffolk is committed to providing equal employment opportunities for all individuals and prohibits unlawful discrimination or harassment. We welcome applications from all qualified candidates, regardless of background or identity.