Job description

Ready to help us transform healthcare? Bring your true colors to blue. 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. This role is eligible for our Flex Persona for candidates local to our Boston, MA office. Responsibilities • Solution Design & Implementation: Design detailed technical solutions and blueprints for individual AI agents, ensuring alignment with the overarching architectural vision, including data flows, API integrations, and component interactions within Google Agent Space. • Technical Guideline Adherence: Ensure agent development efforts strictly follow established architectural patterns, coding standards, security protocols, and best practices. • Platform Optimization: Optimize Google Agent Space and Google Cloud Platform services for agent performance, cost-efficiency, and scalability on a project-by-project basis. • Component Development & Reusability: Design and contribute to the development of reusable agentic components, libraries, and common services. • Technical Problem Solving: Provide expert-level troubleshooting for complex architectural and integration challenges faced by Generative AI Engineers. • System Integration: Oversee the technical integration of newly developed agents with existing enterprise systems, databases, and external APIs. • Proof of Concepts (POCs) & Prototyping: Lead or significantly contribute to technical POCs and prototypes for new agentic capabilities to validate feasibility. • Documentation: Create and maintain detailed technical documentation for agent architectures, design decisions, and deployment configurations. • Technical Review & Quality Assurance: Participate in code, design, and architectural reviews to ensure the quality, maintainability, and scalability of solutions. • Mentorship: Offer technical guidance and mentorship to Generative AI Engineers to help them effectively implement architectural principles. Qualifications Must-Have: • Bachelor's degree in Computer Science, Data Science, a related field, or equivalent practical experience. • 10-12 years of experience as a solution architect in cloud technologies. • 8+ years of hands-on experience delivering technical presentations and leading business value sessions. • 5+ years of implementation experience setting up CI/CD pipelines and MLOps on cloud platforms. • 3+ years of experience implementing Retrieval-Augmented Generation (RAG) models. • Expertise in machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and natural language processing. • Proven experience providing technical guidance, mentoring engineers, and leading project teams. • Experience leading design and architecture review meetings to ensure solutions are well-architected, secure, and scalable. • Experience in designing and deploying multi-agent architectures with Agent Development Kit (ADK). Nice-to-Have: • Knowledge of the Healthcare payer domain. • Solution Architect Associate certification (preferably in GCP or AWS). Minimum Education Requirements: High school degree or equivalent required unless otherwise noted above Location Boston Time Type Full time Salary Range: $175,860.00 - $214,940.00 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 the confidence gap and imposter syndrome can 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 our Company Culture page. If this sounds like something you’d like to be a part of, we’d love to hear from you. You can also join our Talent Community to 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.

Requirements

Must-haves

Ready to help us transform healthcare? Bring your true colors to blue.
Technical Guideline Adherence: Ensure agent development efforts strictly follow established architectural patterns, coding standards, security protocols, and best practices.
Platform Optimization: Optimize Google Agent Space and Google Cloud Platform services for agent performance, cost-efficiency, and scalability on a project-by-project basis.
Component Development & Reusability: Design and contribute to the development of reusable agentic components, libraries, and common services.
Technical Problem Solving: Provide expert-level troubleshooting for complex architectural and integration challenges faced by Generative AI Engineers.
System Integration: Oversee the technical integration of newly developed agents with existing enterprise systems, databases, and external APIs.
Proof of Concepts (POCs) & Prototyping: Lead or significantly contribute to technical POCs and prototypes for new agentic capabilities to validate feasibility.
Documentation: Create and maintain detailed technical documentation for agent architectures, design decisions, and deployment configurations.
Technical Review & Quality Assurance: Participate in code, design, and architectural reviews to ensure the quality, maintainability, and scalability of solutions.
Mentorship: Offer technical guidance and mentorship to Generative AI Engineers to help them effectively implement architectural principles.
Bachelor's degree in Computer Science, Data Science, a related field, or equivalent practical experience.
10-12 years of experience as a solution architect in cloud technologies.
8+ years of hands-on experience delivering technical presentations and leading business value sessions.
5+ years of implementation experience setting up CI/CD pipelines and MLOps on cloud platforms.
3+ years of experience implementing Retrieval-Augmented Generation (RAG) models.
Expertise in machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and natural language processing.
Proven experience providing technical guidance, mentoring engineers, and leading project teams.
Experience leading design and architecture review meetings to ensure solutions are well-architected, secure, and scalable.
Experience in designing and deploying multi-agent architectures with Agent Development Kit (ADK).
High school degree or equivalent required unless otherwise noted above
Boston Time Type
This job is also eligible for variable pay.

Nice-to-haves

Knowledge of the Healthcare payer domain.
Solution Architect Associate certification (preferably in GCP or AWS).

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiapici/cdmachine learninggcpaws

Platform: phenom
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Wellness