Senior AI Engineer

Sourced from mindpal.co

Suffolk Construction is hiring a Senior AI Engineer in Boston to own end-to-end delivery of production AI solutions on AWS. The role focuses on RAG pipelines, multi-model and multi-agent systems, and agentic backend services built with Python, FastAPI, and LangChain. You will partner with data engineering on ETL/ELT pipelines into the Databricks Lakehouse and implement LLMOps, monitoring, security, and governance for reliable enterprise AI.

• Translate product requirements 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 LLMs based on task context, cost, and latency
• Implement multi-agent orchestration frameworks for complex construction workflows
• Own full lifecycle delivery: design, development, testing, deployment, monitoring, and maintenance
• Build APIs and agentic backend services with Python, FastAPI, LangChain, and AWS SDKs
• Develop front-end integrations for Microsoft Teams and web SPAs via REST or GraphQL
• Partner on ETL/ELT pipelines into the Databricks Lakehouse
• Automate infrastructure and deployments with Terraform, AWS CDK, and GitHub Actions
• Implement LLMOps: cost monitoring, latency optimization, usage analytics, and model versioning
• Enforce security, governance, and access standards

• 5+ years of professional software development experience on AWS
• 2+ years focused on AI/ML engineering with LLMs, RAG, Bedrock, or similar
• Strong Python proficiency (LangChain, FastAPI, boto3)
• Solid SQL experience plus Databricks and vector databases
• Experience deploying production systems with AWS Lambda, ECS/EKS, API Gateway, Step Functions, S3, CloudFront, and KMS
• CI/CD and Infrastructure-as-Code experience (Terraform/CDK) with GitHub Actions
• Bachelor's degree in Computer Science, Engineering, Physics, or related field
• Excellent cross-functional collaboration and communication skills

• Master's degree in a related field
• Experience with Airflow or Databricks Workflows
• REST/GraphQL API development experience
• Familiarity with LLMOps practices and observability tooling