AI Engineer in Suffolk Construction's AI Studio in Boston builds scalable AI agents and platforms to power construction management, collaborating with Product Managers, Site AI Engineers, and Data Engineers.
Responsibilities
- Translate product requirements and user stories into production-grade AI solutions using AWS Bedrock, Lambda, ECS/EKS, and Databricks.
- Implement retrieval-augmented generation pipelines with Delta tables, Unity Catalog, and vector search.
- Design and deploy multi-model agents that dynamically select among LLMs such as Claude, GPT, Llama, Titan, and others based on task context, cost, and latency.
- Build multi-agent orchestration frameworks to enable collaboration among specialized agents (data retriever, planner, summarizer, action executor) for complex construction workflows.
- Own end-to-end delivery lifecycle, including design, development, testing, deployment, monitoring, and ongoing maintenance.
- Develop APIs, backend services, and agent-centric workflows using Python, FastAPI, LangChain, and AWS SDKs.
Requirements
- 4–6 years of professional software development on AWS, with 2+ years focused on AI/ML engineering (LLMs, RAG, Bedrock or equivalent). Proficient in Python (LangChain, FastAPI, boto3) and experienced with SQL, Databricks, and vector databases.
- Experience designing and deploying production systems on AWS using Lambda, ECS/EKS, API Gateway, Step Functions, S3, CloudFront, and KMS.
- Strong foundation in CI/CD, IaC (Terraform/CDK), and GitHub Actions.
- Experience training, retraining, and performing transfer learning on ML models is desirable.
- Bachelor’s degree in Computer Science, Engineering, Physics, or a related field; Master’s preferred.
- Prior hands-on work in construction or heavy process industries (manufacturing, oil & gas, chemicals) is a significant plus.
- Excellent collaboration and communication skills, with the ability to work cross-functionally without heavy business-side facilitation.
- 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.
Technologies
- AWS Bedrock, AWS Lambda, AWS ECS, AWS EKS, Databricks, Delta tables, Unity Catalog, Vector Search
- Claude, GPT, Llama, Titan
- Python, LangChain, FastAPI, boto3
- SQL, REST, GraphQL, Teams
- S3, API Gateway, Step Functions
- Terraform, AWS CDK, GitHub Actions
- Airflow, Databricks Workflows, Databricks Lakehouse
Benefits
- Competitive salaries
- Auto allowances and gas cards for eligible roles
- Market-leading medical and emotional health benefits
- Dental and vision insurance
- Virtual care options for physical therapy and primary care
- Generous paid time off
- 401k with employer match and access to financial resources
- Company paid and voluntary life insurance
- Tax-advantaged savings accounts
- 10 backup daycare days per year
- Short- and long-term disability
- Commuter benefits
Overview
Suffolk is a national enterprise that blends data, artificial intelligence, and advanced technology across the project lifecycle through its Seamless Platform to connect design, construction, and operations. The company operates a diverse portfolio of core construction management services, real estate investment, self-perform construction, and technology startup investments via Suffolk Technologies.
As a leading national contractor, Suffolk reports substantial scale with billions in annual revenue, thousands of employees, and multiple offices nationwide, including a Boston headquarters. The organization emphasizes total rewards and comprehensive support to employees and their families across physical, emotional, and financial well-being.
