Enterprise Architect

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Job description & requirements

AI Architect Mastery, Enterprise Architecture, ETX

(Full-Time, Location: Boston, Springfield, New York)

The Opportunity

The AI Architect will evaluate and benchmark AI capabilities, define implementation patterns for AI services, and enable MassMutual to make impactful, long-term decisions around AI-enabled business capabilities. This includes developing strategies, reference architectures, roadmaps, and patterns to drive responsible AI Adoption, Research & Development. As an AI Architect, you will be part of MassMutual's team focused on aligning AI technology strategy with business strategy and goals. You will guide the planning and design of AI capabilities to maximize their value in secure and responsible manner, using architecture strategies, blueprints, and roadmaps to standardize technology stacks and enhance AI engineering speed and agility.

The Team

The
MassMutual Enterprise Architecture
team in the Enterprise Technology and Experience organization is composed of Business, Application, Infrastructure, Data, and Security architecture domains. The team collaborates on enterprise-wide technology initiatives, providing a unique perspective and opportunity to partner with best-in-class architects, technologists and business leaders. The AI Architect will join this team to drive digital innovation and create a competitive advantage for MassMutual.

The Impact:

The AI Architect will play a critical role in designing AI solutions that enhance MassMutual's digital capabilities and customer engagement. This role involves working closely with various domains of Enterprise Architecture (EA), Research & Development, business stakeholders, IT teams, Cyber, Governance and Privacy partners to design and implement AI solutions that align with business outcomes and architectural requirements

Responsibilities:

The Minimum Qualifications:

Bachelor's degree in computer science, IT, system analysis, or a related technical field

8+ years of IT design and implementation experience with a minimum of two of the following (or similar) technical disciplines: AI/ML frameworks, AI/ML development and coding environments, cloud platforms, and big data technologies

5+ years involvement with solution architecture development and delivery.

5+ years of experience developing and interpreting business architecture.

5+ years of experience in building solutions on complex cloud-native products, applications, and platforms

5+ years of experience in a technology advisory role, experience working directly with any of AI, machine learning technologies, statistical systems, or big data platforms