AI Engineer

Overview

About Suffolk

Suffolk is a national enterprise that builds, innovates, and invests. We provide value across the entire project lifecycle through our core construction management services and complementary business lines in real estate investment, design, self-perform construction, and technology start-up investment (Suffolk Technologies). By integrating data, artificial intelligence, and advanced technology through our Seamless Platform, we connect design, construction, and operations to deliver smarter, more predictable results and redefine how America builds.

Suffolk - America's Contractor - is a national company with more than $8 billion in annual revenue, 3,000 employees, and 17 offices, including Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, San Diego, Las Vegas, Herndon, U.S. Virgin Islands, and other key markets. Suffolk manages some of the most complex and transformative projects in the country, serving clients across healthcare, life sciences, education, gaming, aviation, transportation, government, mission critical, and commercial sectors.

Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 on ENR's list of "Top CM-at-Risk Contractors." For more information, visit  and follow Suffolk on Facebook, Twitter, Linked In, You Tube, and Instagram.

At Suffolk, we believe that our total rewards program should offer you and your family the support you need when it matters most. That's why we have created a program that provides employees with access to a wide variety of options that can be personalized to support you and your loved ones physically, emotionally, and financially.

Benefits include, competitive salaries, auto allowances and gas cards for certain roles, access to market leading medical and emotional and mental health benefits, dental, and vision insurance plans, virtual care options for physical therapy and primary care, generous paid time off, 401k plan with employer match and access to expert financial resources, company paid and voluntary life insurance, tax deferred savings accounts, 10 backup daycare days each year, short- and long-term disability, commuter benefits and more. 

For more information, click here.

Role

Join Suffolk's AI Studio in Boston as a core engineer transforming how AI powers construction management. Partnering with Product Managers, Site AI Engineers and Data Engineers, you'll solve pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. You'll focus on building secure, scalable, and high-performance AI agents using modern technologies including AWS Bedrock, and Databricks - shaping the backbone of Suffolk's "Construction Site of the Future."

The AI Engineer (AI Studio) builds the foundation that enables jobsite AI to scale. You'll focus on technical excellence, platform reliability, and scalable agent frameworks, enabling field teams to transform how construction projects are executed.

Responsibilities

AI Product Engineering & Deployment

* Translate product requirements and user stories into production-grade AI solutions using AWS Bedrock, Lambda, ECS/EKS, and Databricks.

* Implement RAG pipelines with Delta tables, Unity Catalog, and Vector Search.

* Design and deploy multi-model agents that dynamically select between LLMs (Claude, GPT, Llama, Titan, etc.) based on task context, cost, and latency.

* Implement multi-agent orchestration frameworks enabling collaboration among specialized agents (e.g., data retriever, planner, summarizer, and action executor) for complex construction workflows.

* Own full lifecycle delivery - design, development, testing, deployment, monitoring, and maintenance.

Full-Stack & Backend Development

* Build APIs, backend services, and agentic workflows using Python, FastAPI, Lang Chain, and AWS SDKs.

* Create reusable connectors and orchestration layers for multi-model agents (Claude, GPT, Llama, etc.).

* Develop front-end integrations for Teams and web SPAs via REST or Graph

QL endpoints.

Data Engineering &…