Suffolk

Suffolk

AI Engineer

Boston, MA, US · Contract

Sponsorship not specifiedDetected 731 days ago
PythonFastAPIBackend DevelopmentFull-Stack DevelopmentGitSQLDatabricksAWSTerraformCI/CDGitHub ActionsDevOpsAPI DevelopmentGraphQLRESTMachine LearningAirflowData EngineeringNLPLLMsRAGAgentic AILLMOpsAI Orchestration

About the role

  • 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 www.suffolk.com and follow Suffolk on Facebook, Twitter, LinkedIn, YouTube, and Instagram.
  • Role Join Suffolk's AI Studio in Boston as a core engineer transforming how AI powers construction management.

Responsibilities

  • Overview About Suffolk Suffolk is a national enterprise that builds, innovates, and invests.
  • 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.
  • 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, LangChain, 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 GraphQL endpoints.
  • Data Engineering & Integration Partner with Data Engineering to design robust ETL/ELT pipelines from enterprise systems to the Databricks Lakehouse.

Nice to have

  • cost monitoring, latency optimization, usage analytics, and model versioning.
  • Enforce security, governance, and access standards in line with enterprise policies.
  • Collaboration & Communication Work closely with product managers, site AI engineers, and data scientists to iterate rapidly in Agile sprints.
  • Communicate technical progress clearly to non-technical stakeholders
  • contribute to internal AI playbooks and templates.
  • 6-10 years of professional software development experience on AWS, with 2+ years focused on AI/ML engineering (LLMs, RAG, Bedrock, or similar).
  • Strong coding proficiency in Python (LangChain, FastAPI, boto3) and solid experience with SQL, Databricks, and vector databases.
  • Experience designing and deploying production systems using AWS Lambda, ECS/EKS, API Gateway, Step Functions, S3, CloudFront, and KMS.

Skills

  • The employee is frequently required to stands; walk; and reach with arms and/or hands.
  • Specific vision abilities include close vision, distance vision, depth perception and the ability to adjust focus.
  • The employee will spend their time in an office environment with a quiet to moderate noise level.
  • Actual salaries may be based on several factors including, but not limited to, skill set, experience, education and other qualifications.
  • Salary ranges may differ by geography and are reviewed regularly to reflect market trends.
  • Job site walking.

Compensation

  • Suffolk – America's Contractor – is a national company with more than $9 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,

Benefits

  • At Suffolk, we believe that our total rewards program should offer you and your family the support you need when it matters most.

Visa & Work Authorization

  • r employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other s
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This listing is sourced directly from Suffolk's careers page and normalized into a canonical job model.