AI Engineer

Suffolk Construction Company, Inc.; Boston (MA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Competitive salaries

Gas cards for eligible roles

Medical and emotional health benefits

Dental and vision insurance

Commuter benefits

Job summary

Suffolk Construction Company, Inc. in Boston seeks an AI Engineer to build scalable AI agents and platforms supporting construction management.

You will collaborate with Product Managers, Site AI Engineers, and Data Engineers to translate requirements into production-grade AI solutions. You will design retrieval-augmented generation pipelines, deploy multi-model agents across LLMs like Claude, GPT, Llama, and Titan, and own end-to-end delivery from design to maintenance using Python, FastAPI,

Qualifications

• 4–6 years of professional software development on AWS with 2+ years AI/ML engineering (LLMs, RAG).
• Proficient in Python and SQL; Databricks and vector DBs experience.
• Experience deploying production AI systems on AWS (Lambda, ECS/EKS, API Gateway).
• Strong CI/CD, IaC (Terraform/CDK), GitHub Actions.

Responsibilities

• Translate product requirements into production-grade AI solutions using AWS Bedrock, Lambda, ECS/EKS.
• Implement retrieval-augmented generation pipelines with Delta tables and vector search.
• Design multi-model agents selecting among LLMs based on cost and latency.
• Build multi-agent orchestration for complex construction workflows.
• Own end-to-end delivery lifecycle including design, testing, deployment and maintenance.
• Develop APIs, backend services, and agent workflows using Python, FastAPI, LangChain.

Skills

Python proficiency

Cross-functional collaboration

Problem solving

AI/ML mindset

Education

Bachelor's degree in CS/Engineering

Master's preferred

Tools

AWS

Databricks

LangChain

FastAPI

boto3

Job description

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.