Director- Architecture for AI

WHO WE ARE AND WHAT WE DO

The Hallmark Technology team is comprised of innovative technologists who are on the forefront of business transformation. Hallmark's growth strategy is reliant on a technology transformation across all lines of business. We are on a journey to reimagine, scale and simplify how our core infrastructure supports the evolution of new capabilities, consumer experiences and the beloved Hallmark-branded businesses. Achieving this aspiration will require a massive increase in technology and organizational transformation activities.

Technology capabilities Hallmark will require and implement:

• Digital and Direct to consumer (DTC) technologies across our media and retail business
• Advance data management capability, connected to new analytics and AI platforms
• Advancing the cloud-based application architecture and evolution our ERP/Core platforms
• An integration strategy to ensure seamless connection between on premise and cloud- based applications
• A people and digital workplace strategy the continues to put the employee at the heart of technology and collaboration tools
  
  

WHAT YOU'LL DO & HOW IT SHAPES OUR SUCCESS

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.

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.

BASIC QUALIFICATIONS

The following are required to be considered for this role:

• 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)
  
  

PREFERRED QUALIFICATIONS

Your resume will stand out if you have the following:

• 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)
  
  

ADDITIONAL DETAILS

• This position offers a hybrid work arrangement, giving you the best of both worlds: collaborating in person at our headquarters in Kansas City, MO and enjoying the flexibility of working remotely.
• This role is eligible for Hallmark's Annual Incentive Plan. More information will be shared during the interview process.
• Hallmark is committed to recognizing and rewarding performance. Employees are eligible for annual merit-based increases, aligned with individual and company performance.
• In alignment with our culture of care, Hallmark offers a competitive benefits package, including medical, dental and vision plans, paid time off, 401K with company match, and profit-sharing.

COME JOIN US! Now's your chance to embrace a future with Hallmark- just follow the instructions below to apply.

You must show how you meet the basic qualifications in a resume or document you upload, or by completing the work experience and education application fields.Accepted file types are DOCX and PDF.

In compliance with the Immigration Reform and Control Act of 1986, Hallmark Cards, Inc. and its subsidiary companies will hire only individuals lawfully authorized to work in the United States. Hallmark does not generally provide sponsorship for employment.

Employment by Hallmark is contingent upon the signing of the Employment Agreement, signing of an agreement to arbitrate in connection with the Hallmark Dispute Resolution Program, completing Form I-9 Employment Eligibility Verification, passing the urinalysis drug screen, education verification and satisfactory reference and background checks.

Hallmark is an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, age, pregnancy, national origin, physical or mental disability, genetics, sexual orientation, gender identity, veteran status, or any other legally-protected status. Principals only please.

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