AI and Cloud Technical Architect

Site: Mass General Brigham Incorporated

 

Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.

 

The AI and Cloud Technical Architect role is critical to the success of the AI Initiatives at MGB. Looking for this role to be at the forefront of AI innovation in a cloud-first enterprise environment. Work with cross-functional teams to design impactful, AI-driven solutions at scale. Help shape AGM’s digital transformation journey by architecting intelligent systems for real-world impact.

 

Job Summary

The Opportunity

The AI and Cloud Technical Architect is a systems logistics subject matter expert that designs, implements and maintains IT systems for business clients. Responsible for designing the structure of new technology, overseeing the implementation of programs, and liaising with software development teams. seeking a visionary Artificial Intelligence Technical Architect with deep expertise in Azure Cloud to lead the design and delivery of enterprise-scale AI solutions. You will play a pivotal role in architecting intelligent systems that leverage machine learning, generative AI, and cognitive services while ensuring alignment with enterprise strategy, security, and compliance. This role is ideal for someone who thrives at the intersection of AI innovation, cloud architecture, and technical leadership.

 

Qualifications

• Bachelor's Degree Related Field of Study required or Master's Degree Related Field of Study preferred

• MGB can consider experience in lieu of a degree

• Experience in software development, systems architecture, or a related field. 8-10+ years required

• 3-4 years of AI and Cloud preferred

Knowledge, Skills and Abilities for Success
- Strong knowledge of software development methodologies, including Agile and Scrum.
- Strong knowledge of software architecture principles and best practices, including microservices, APIs, and service-oriented architecture (SOA).
- Strong knowledge of data architectures, including data modeling, database design, and data integration.
- Experience with cloud computing platforms.
- Strong knowledge of security principles and best practices, including authentication, authorization, and data encryption.
- Excellent communication, collaboration, and interpersonal skills, with the ability to work effectively with other members of the IT team, business stakeholders, and external partners.
- Strong leadership and mentorship skills, with the ability to provide technical leadership and mentorship to other members of the IT team.

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AI Specific Skills and Abilities;

• AI/ML architecture design and deployment

• Hands-on experience with cloud platforms (preferably Azure, but also AWS or GCP)

  • Key services: ML platforms, cognitive APIs, container orchestration, data lakes, serverless functions

• Proficient in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)

• Experience with MLOps, CI/CD, model monitoring, and automation

• API integration and containerization (Docker, Kubernetes)

• Strong foundation in supervised/unsupervised learning, NLP, GenAI, and LLMs

• Skilled in prompt engineering, model fine-tuning, and evaluation

• Familiar with Responsible AI principles (bias, fairness, explainability)

• Has the ability to Design scalable, secure AI solutions in a cloud environment

• Building data pipelines and integrating structured/unstructured data

• Understanding of data governance and regulatory compliance (HIPAA, GDPR)

• Technical leadership across architecture and engineering teams

• Effective collaboration with cross-functional teams (product, data, DevOps)

• Strong communicator with experience presenting to technical and business stakeholders

 

Additional Job Details (if applicable)

• M-F Eastern Business Hours required

• Onsite Flexible Hybrid working model required includes Weekly onsite working days at Assembly Row will be determined for team and business needs 2-3 days per week and subject to change as needed

• Remote working days require stable, secure, HIPPA compliant work station

 

Remote Type

Hybrid

 

Work Location

399 Revolution Drive

 

Scheduled Weekly Hours

40

 

Employee Type

Regular

 

Work Shift

Day (United States of America)

 

EEO Statement:

Mass General Brigham Incorporated is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.

 

Mass General Brigham Competency Framework

At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.