Enterprise Architecture AI Architect at MassMutual

AI Architect Mastery, Enter prise 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:

• Build Enterprise AI Architecture strategy and roadmaps
• Develop AI Reference Architectures and Guidance.
• Update specification and publication of AI Standards and Patterns around AI technology, development, security, privacy and observability.
• Build AI platform architecture and Integration Patterns, stay abreast of emerging AI technologies and integrate them into AI architecture as needed
• Consult on AI capabilities for business and technology platforms and ensure alignment between AI architecture frameworks and standards and overall business strategy
• Evaluate and lead AI architecture deliverables, perform capability assessments, and support technical evaluations for closing gaps
• Actively publish deliverables and utilize multi-media to educate and engage with federated solution architecture community members
• Partner with solution architect to document design decisions and solution architecture
• Partner with technology leaders, business and governance partners to identify AI risks and process issues, then provide enterprise patterns to resolve the issues
• Provide recommendations on problem solving, solution options, risks, cost/benefit analysis, and impact on cross-domain systems, business strategy, goals, and processes
• Partner with extended enterprise architecture, enterprise cyber security, compliance, governance, privacy, business, and IT support teams to communicate and collaborate on architecture strategies, standards, and guidance
• Partner with AI Governance, Security and Privacy team for supporting Secure, Ethical and Responsible use of AI.
• Stay abreast of current and emerging AI threats and design AI architecture to mitigate them. Design capabilities for AI Governance and Observability
• Achieve AI architecture compliance on requirements, including, but not limited to, Colorado AI Act, global data privacy requirements, and state and federal regulations

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

The Ideal Qualifications:

• Exposure to and involvement in governance and compliance regimes; a good understanding of security and privacy management. Experience working with AI Governance, Privacy requirements like Colorado Artificial Intelligence Act (CAIA).
• Experience supporting agile teams by providing guidance on design, opportunities, impact, and risks, taking account of technical and architectural debt
• Preferred experience designing GenAI solutions, with experience in MLOPS, LLM, Amazon Bedrock, Q, OpenAI, CoPilot Studio, Langchain, Data Foundry, Data Fabric.
• Trusted and respected as a thought leader who can influence and persuade business and IT leaders and IT development teams
• Technology-neutral: remains unbiased toward any specific technology or vendor choice and is more interested in results than personal preferences
• Displays intellectual curiosity and integrity
• Motivated and driven by achieving long-term business outcomes
• Ability to balance the long-term (big picture) and short-term implications of individual decisions
• Ability to work effectively in a team environment and lead cross-functional teams