Responsibilities:

• Technical Leadership:
  • Lead the strategic direction for AI product development, including solution architecture, technical roadmaps, and implementation standards across multiple AI initiatives and platforms.
  • Maintaining alignment with the Principal Solution Architect and supporting groups/teams.
  • Support and guide the development of data pipelines, feature engineering, and model training workflows.
  • Guide teams in implementing MLOps practices for model deployment, monitoring, and maintenance - help contribute towards standards and best practices
  • Lead and facilitate technical reviews and provide guidance on AI model performance, scalability, and business impact
  • Establish metrics and KPIs to measure the effectiveness of AI initiatives
  • Stay current with emerging AI technologies and methodologies, evaluating their potential application
• Technical Design:
  • Exercise independent judgment in developing AI solution approaches, model selection, and deployment strategies.
  • Enable the design and implementation of AI-powered solutions for enhancing the customer shopping experience, drive operational efficiency across the enterprise, optimizes inventory, pricing, supply chain, and other operations
  • Drive the development of reusable AI components and frameworks to accelerate future initiatives
  • Develop POCs (proof of concepts) to validate AI applications before full-scale implementation
• Team Support:
  • Direct and mentor multiple Agile teams comprising data scientists, AI engineers, and ML specialists, fostering a culture of innovation, learning, and excellence in AI development.
• Enterprise Coordination:
  • As part of the Enterprise Architecture (EA) team, ensure AI initiatives comply with corporate infrastructure, security, and data governance standards while influencing the evolution of those standards.
  • Collaborate with fellow Enterprise Architects to proliferate AI principles and patterns.
• Strategy:
  • Translate business requirements into technical AI roadmaps, working with AI Product Manager and business stakeholders to align AI initiatives with organizational goals while establishing measurement frameworks to track impact.
• Governance:
  • Participate and provide thought leadership in Architecture Review Board and review AI initiatives
  • Ensure AI solutions adhere to privacy, security, and ethical standards
• Cultural Champion:
  • Drive the adoption of AI-focused agile development practices, and partner with Responsible AI Governance team to promote transparency, explainability and ethical use of AI
• Product Management:
  • Partner with the Product Management Organization to identify opportunities for AI implementation, build consensus around AI priorities, and communicate complex technical concepts to non-technical stakeholders
  • Partner with Product Owners to translate business requirements into AI-specific technical requirements

Required Qualifications:

• Master's degree in Computer Science, Data Science, AI/ML, or equivalent professional experience
• 10 years of experience in AI/ML product development or related technical fields
• 4 years of experience leading teams of data scientists, AI engineers or architects
• Demonstrated success leading AI initiatives in personalization, recommendation systems, computer vision, or operational efficiency
• In-depth knowledge of machine learning algorithms, frameworks, and best practices
• Hands-on experience with modern ML frameworks (PyTorch, TensorFlow, etc.) and cloud-based AI services
• Proven experience with agile methodologies in the context of AI/ML
• Strong experience managing the full AI product lifecycle
• Track record of implementing successful AI solutions that delivered measurable value
• Experience with MLOps practices and tools for model deployment and monitoring
• Demonstrated ability to translate complex business problems into AI solution approaches
• Excellent communication skills with ability to explain AI concepts to both technical and non-technical audiences
• Experience in retail or e-commerce preferred
• Familiarity with AI governance, ethics, and responsible AI implementation
• Ability to work effectively in an onshore/offshore development model
• Travel required per the company policy