AI Engineer

Blue Cross Blue Shield of Massachusetts; Hingham (MA); On-site; USD 140,000 - 171,000; Full time

Benefits offered by this job

Paid time off

Medical/dental/vision insurance

401(k)

Suite of well-being benefits

Job summary

Blue Cross Blue Shield of Massachusetts is hiring to design and productionize AI assistants and multi-step agents for enterprise workflows on Google Cloud Platform (GCP) and Vertex AI in an onsite role in Hingham, MA.

You will build agents that integrate with enterprise APIs, databases and services, implement RAG and grounding, and ensure safety, monitoring and scalability in production.

Qualifications

• Bachelor’s or Master’s degree in CS/ML or related field; equivalent practical experience.
• 5+ years software engineering, with 2+ years AI/LLM or agent development.
• Hands-on GCP experience (BigQuery, Cloud Storage, Cloud Run or Cloud Functions).
• Experience with Vertex AI Agent Builder, Vertex AI Search, or Dialogflow CX.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
• Experience in prompt engineering, function calling, embeddings, and RAG.

Responsibilities

• Design and productionize AI assistants and multi-step agents for enterprise workflows.
• Develop grounded responses, evaluation and monitoring in production.
• Collaborate with product managers, data engineers, and business stakeholders to translate requirements into AI-powered solutions.

Skills

Python

GCP

Vertex AI

LangChain

LlamaIndex

TensorFlow

PyTorch

API design

CI/CD

Terraform

Education

Bachelor’s or Master’s in CS/ML

Tools

Vertex AI Agent Builder

Vertex AI Search

Dialogflow CX

BigQuery

Cloud Run

Cloud Functions

Git

Terraform

Cloud Build

Job description

Design and productionize AI assistants and multi-step agents for real enterprise workflows using Google Cloud Platform (GCP) and Vertex AI. In this onsite role in Hingham, MA, you will help build agentic experiences that combine LLM/agent development, grounded responses, and evaluation and monitoring in production.

What you’ll build

• AI assistants on Vertex AI, covering model selection, prompt engineering, grounding, retrieval-augmented generation (RAG), and agent orchestration.
• Multi-step AI agents using the Google Agent Development Kit (ADK), including agent architecture design with tool use, sub-agents, callbacks, and session management.
• Applications that connect to Google Cloud AI/ML SDKs, including Vertex AI SDK for Python and Google Gen AI SDK, for programmatic foundation model access, embeddings, tuning, and prediction endpoints.
• Agentic architectures using ADK orchestration patterns such as sequential, loop, parallel, and custom multi-agent hierarchies for multi-turn, multi-domain workflows.
• Tool and function calling patterns within ADK agents that connect to enterprise APIs, databases, and external services for grounded, domain-specific responses.

How quality and safety are handled

• Responsible AI practices including safety filters, bias detection, guardrails, hallucination mitigation, and content moderation.
• Evaluation and monitoring frameworks to measure assistant quality, latency, cost, and user satisfaction in production, including ADK evaluation and tracing capabilities.

Platform and delivery

• Architect scalable, production-grade solutions using Vertex AI Agent Builder, Vertex AI Search, Cloud Run, Cloud Functions, Pub/Sub, BigQuery, and other GCP services.
• Collaborate with product managers, data engineers, and business stakeholders to translate requirements into AI-powered solutions.
• Keep pace with the evolving AI landscape by evaluating emerging models, tools, and techniques and recommending adoption where appropriate.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field (or equivalent practical experience).
• 5+ years of software engineering experience, with 2+ years focused on AI/ML or LLM-based agentic development.
• Hands-on experience with GCP, particularly BigQuery, Cloud Storage, Cloud Run, or Cloud Functions.
• Hands-on experience with Vertex AI Agent Builder, Vertex AI Search, or Dialogflow CX.
• Hands-on experience with Google Cloud SDKs (Vertex AI SDK, Google Gen AI SDK) for model invocation, tuning, and deployment workflows.
• Strong proficiency in Python and familiarity with ML/AI frameworks and libraries such as LangChain, LlamaIndex, TensorFlow, and PyTorch.
• Experience building agentic LLM applications including prompt engineering, function calling, embeddings, and RAG.
• Solid understanding of API design, microservices architecture, and cloud-native development patterns.
• Familiarity with Git, CI/CD pipelines, and Infrastructure as Code such as Terraform and Cloud Build.

Compensation and benefits

• Salary range: USD 140,310 - 171,490 per year
• Paid time off
• Medical/dental/vision insurance
• 401(k)
• Suite of well-being benefits to eligible employees

Preferred qualifications

• Google Cloud certifications (e.g., Professional Machine Learning Engineer, Professional Cloud Architect).
• Exposure to multi-agent architectures, tool-use patterns, and agentic AI frameworks.
• Experience with vector databases (e.g., Vertex AI Vector Search, AlloyDB, Pinecone, Weaviate) and embedding-based retrieval.
• Knowledge of MLOps, including experiment tracking, model versioning, A/B testing, and monitoring in production.
• Experience in regulated industries (healthcare, finance, insurance) with understanding of data privacy and compliance requirements.

Technologies you’ll work with

• Google Cloud Platform (GCP), Vertex AI, Vertex AI Agent Builder, Vertex AI Search
• Google Agent Development Kit (ADK), Vertex AI SDK for Python, Google Gen AI SDK
• Cloud Run, Cloud Functions, Pub/Sub, BigQuery, Cloud Build, Terraform
• Python, LangChain, LlamaIndex, TensorFlow, PyTorch, Dialogflow CX, Git

Time type: Full time. Location: Boston, Hingham. Education minimum: High school degree or equivalent required unless otherwise noted above.