Director- Architecture for AI

Hallmark CardsKansas City, MO
1dHybrid

About The Position

The Director of Architecture for Artificial Intelligence (AI) serves as a strategic and technical leader within Hallmark’s Enterprise Architecture team. This role is responsible for shaping, guiding, and governing the design and implementation of AI systems and agentic agents that drive innovation, operational efficiency, and emotional connection across the enterprise. The Director of Architecture for AI will lead cross-functional efforts to realize Hallmark’s AI strategy, ensuring solutions are scalable, secure, ethical, and aligned with Hallmark’s core values. This position plays a key role in defining and executing Hallmark’s broader AI strategy.

Requirements

  • At least twelve years of combined experience in Information Technology and/or Information Security
  • Bachelor’s degree or 4 years’ professional work experience
  • At least 10 years’ experience in enterprise architecture or AI/ML systems design
  • At least 3 years’ experience in leadership role
  • At least 3 years’ experience in Enterprise Architecture modeling frameworks (TOGAF, Zachman, etc.)
  • Cloud AI/ML certification (e.g., Azure AI Engineer, AWS AI Practitioner, or equivalent)

Nice To Haves

  • Master’s degree in computer science, data science, engineering or related field
  • Strong understanding of data privacy, security, and regulatory compliance in AI contexts
  • Excellent communication and stakeholder management skills
  • Strong Experience in Standards (TOGAF, GDPR, ISO/IEC 27001, 27002, 20000-1, 42001 AI Management) TOGAF or Zachman Framework certification
  • Experience with AI-specific security risks and controls (e.g., prompt injection, model extraction)
  • Demonstrated ability to embed fairness, transparency, and explainability into AI systems
  • Experience contributing to or leading AI governance boards or councils
  • Experience launching or scaling AI innovation and center of excellence programs
  • Deep expertise in AI/ML frameworks and Large Language Models (e.g., TensorFlow, PyTorch, Hugging Face, OpenAI, CoPilot, SageMaker, Llama, Grok, Anthropic, etc.) and cloud platforms (Azure, AWS)
  • Experience with AI accelerator Platforms and suites (i.e. Azure AI Foundry, AWS Bedrock, H2o.ai, etc.) and API/A2A/MCP connections for LLM integrations to accelerate AI development.
  • Knowledge of NIST Cyber Security Framework
  • Knowledge of Cloud Governance
  • Ability to develop automation scripts
  • Strategic Planning: Develop and maintain multi-year architecture roadmaps aligned with business goals
  • Architecture Design: Create models for business, data, application, and technology layers
  • Strong grasp of data science, statistics, and algorithm design
  • Technology Experience preferred: AWS, Azure, GCP cloud technologies SAP LeanIX or other EA tooling API/MCP/A2A management tools
  • Data Tools (Snowflake, Informatica, Power BI, Teradata)
  • AI Programming Languages (Python, Java, R, Golang)
  • Office 365 & Power Platform (inc. SharePoint, Visio, Power Automate)

Responsibilities

  • AI Architecture Leadership: Define and evolve the AI reference architecture and collaborate with executive leadership to identify AI opportunities that drive value and competitive advantage.
  • AI and Innovation Strategy: Lead the technical direction of the Hallmark AI Accelerator Program, ensuring alignment with business goals and the AI Council (AIC) charter.
  • Cross-Functional Collaboration: Partner with data architects, engineers, product managers, legal, privacy, and security teams to deliver responsible AI solutions.
  • Governance & Risk Management: Implement AI governance frameworks, define risk levels, decision rights, and ensure compliance with the Security Architecture Review Board, legal, and regulatory standards.
  • Platform Engineering: Stand up and evolve AI platforms, including sandbox environments, vendor selection, and build-vs-buy decisions.
  • Design and govern architecture for AI agents, multi-agent systems, and autonomous workflows across enterprise platforms including establishing standards for agent orchestration, memory management, tool integration, and human-in-the-loop oversight.
  • Mentorship & Evangelism: Mentor architects and engineers, and promote AI literacy across the enterprise through training, awareness campaigns, and community engagement.
  • AI/ML Systems Design: Proven experience designing and deploying AI/ML systems at scale, including model training, inference pipelines, and integration with enterprise platforms.
  • Cloud & Infrastructure: Hands-on experience with cloud-native AI platforms (Azure ML, AWS SageMaker, GCP Vertex AI), GPU/TPU infrastructure, and container orchestration (Kubernetes, Docker).
  • Security & Compliance: Familiarity with AI-specific security risks (e.g., prompt injection, model extraction), and experience implementing controls aligned with frameworks like NIST AI RMF.
  • AI and Data Platform Integration: Partner with enterprise data architecture/governance teams to align AI systems with enterprise data platforms, data modeling, governance, and unified consumer data strategies.

Benefits

  • This role is eligible for Hallmark’s Annual Incentive Plan.
  • Employees are eligible for annual merit-based increases, aligned with individual and company performance.
  • Hallmark offers a competitive benefits package, including medical, dental and vision plans, paid time off, 401K with company match, and profit-sharing.
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