AI Solution Architect

The AI Solution Architect is responsible for designing and implementing specific architectural components and solutions for AI agents within the established Bluefield framework. This role works in close collaboration with Generative AI Engineers to convert architectural guidelines into practical, deployable systems, ensuring high technical quality at the project level. The ideal candidate will also act as a technical evangelist, sharing knowledge and showcasing the team's work through internal and external tech talks.

Responsibilities

* Design agentic workflows- Architect multi-agent systems on Vertex AI Agent Builder, defining agent orchestration patterns (sequential, parallel, hierarchical), tool use strategies, function calling, and grounding configurations (Google Search, Vertex AI Search, custom data stores)

* Build architecture blueprints- Produce solution design documents, architecture decision records, and integration patterns that connect AI agents with APIs, databases, and enterprise platforms

* Select and optimize models- Evaluate foundation models (Gemini family, open models via Model Garden) for cost, latency, accuracy, and context window fit; design prompt strategies including chain-of-thought, few-shot, and system instructions

* Architect RAG pipelines- Design retrieval-augmented generation flows using Vertex AI Search, Vector Search, and custom data stores to ground agent responses in enterprise knowledge

* Define guardrails and safety- Establish input/output validation, content filtering, hallucination mitigation, and human-in-the-loop checkpoints to ensure responsible, reliable agent behavior

* Design for observability- Build tracing, logging, and monitoring into agent architectures to track reasoning chains, tool call performance, latency, cost, and quality metrics

* Lead proof-of-concepts- Execute PoCs to validate architectural decisions, de-risk new patterns, and demonstrate feasibility before committing to full builds

* Enable the team- Provide architectural guidance, conduct design reviews, create reusable templates and reference architectures, and help developers ramp up on the agent platform

* Collaborate across teams- Work with data engineering, platform engineering, Network Security, and business stakeholders to align AI solutions with enterprise standards, security requirements, and business goals

* Stay ahead of the curve- Track GCP platform updates, new agent capabilities, and emerging patterns in the rapidly evolving agentic AI landscape, and bring those insights back to the team

Must-Have Qualifications & Skills

* Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent practical experience.

* 8-10+ yearsin solution architecture, software architecture, or a senior technical rolespecifically in cloud architecture (GCP, AWS, or Azure).

* 3+ yearsof hands-on experience designing and deploying productionGenerative AI systems, including Retrieval-Augmented Generation (RAG), vector databases, and semantic search.

* Proven experience designingmulti-agent systems and orchestration workflows(e.g., Agent Development Kit (ADK), LangGraph, CrewAI, AutoGen).

• Strong LLM fundamentals - prompt engineering, embeddings, vector search, fine-tuning, and distillation

* Deep understanding of machine learning foundations, NLP, model evaluation, fine-tuning, and LLM safety/guardrails.

* Hands on experience in designingMLOps / LLMOps pipelines, including continuous integration/deployment (CI/CD), data versioning, model monitoring, and governance in cloud environments.

* Expertise in cloud-native solution design ensuring enterprise-grade scalability, performance, data privacy, and security compliance.

* Proven track record leadingarchitecture design reviews (ADRs), establishing reference architectures, and defining best practices.

* Strong ability to bridge technical and business domains, delivering executive-level technical presentations and articulating business value to senior stakeholders.

* Demonstrated experience providing technical mentorship to engineering teams and cross-functional technical leadership.

* Certifications:

* Professional Cloud Architect or AI/ML Specialty certification (Google Cloud Professional Cloud Architect / Machine Learning Engineer, AWS Certified Solutions Architect - Professional, or equivalent).

Nice-to-Have:

• Knowledge of the Healthcare payer domain.
• Experience with multi-modal agents (vision, audio, document processing)
• Experience building evaluation frameworks for agent quality (benchmarks, LLM-as-judge patterns)

What You Bring

• A passion for pushing the boundaries of what AI agents can do in real-world enterprise settings
• The ability to think end-to-end - from a business problem through to a production-grade architecture with monitoring, security, and cost controls baked in
• Comfort operating in a fast-moving space where the tools and best practices are evolving monthly
• A builder's mindset - you don't just draw diagrams, you validate your designs through PoCs and hands-on prototyping
• A collaborative spirit - you elevate the team around you through mentorship, reusable patterns, and clear documentation

What You will Gain

• High visibility across the organization - present to leadership, influence technology direction, and drive build-vs-buy decisions
• Opportunity to build and mentor a growing AI engineering team
• Autonomy to explore, prototype, and champion new architectural approaches

High school degree or equivalent required unless otherwise noted above

The job posting range is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs and affordability.

This job is also eligible for variable pay.

We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and a suite of well-being benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

WHY Blue Cross Blue Shield of MA?

We understand that theconfidence gapandimposter syndromecan prevent amazing candidates coming our way, so please don't hesitate to apply. We'd love to hear from you. You might be just what we need for this role or possibly another one at Blue Cross Blue Shield of MA. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be brilliant. We encourage you to bring us your true colors, , your perspectives, and your experiences. It's in our differences that we will remain relentless in our pursuit to transform healthcare for ALL.

As an employer, we are committed to investing in your development and providing the necessary resources to enable your success. Learn how we are dedicated to creating an inclusive and rewarding workplace that promotes excellence and provides opportunities for employees to forge their unique career path by visiting ourCompany Culturepage. If this sounds like something you'd like to be a part of, we'd love to hear from you. You can also join ourTalent Communityto stay "in the know" on all things Blue.

At Blue Cross Blue Shield of Massachusetts, we believe in wellness and that work/life balance is a key part of associate wellbeing. For more information on how we work and support that work/life balance visit our "How We Work" Page.