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Sr Director, AI Solutions Architect

Replicon

Replicon

Software Engineering, IT, Data Science
United States
Posted on Mar 21, 2026

Ready to build an AI Center of Excellence from the ground up? As Senior Director, AI Solutions, you'll have an opportunity to build foundational AI capabilities that power AI transformation across the enterprise. You’ll establish technical standards, design scalable platforms, and architect solutions that enable AI adoption. This is a high-impact, high-visibility role reporting to the VP of AI Center of Excellence, where you'll partner directly with senior leadership to translate AI strategy into solutions that drive measurable business value.

Responsibilities

  • Define and drive the technical vision and architecture for enterprise AI platforms, ensuring alignment with business transformation goals and long-term scalability requirements
  • Develop and maintain the enterprise AI technology roadmap, balancing innovation with practical implementation and organizational readiness
  • Evaluate emerging AI technologies, platforms, and frameworks to inform strategic technology decisions
  • Design end-to-end AI solutions that address complex business challenges, considering integration points, data flows, security requirements, and operational constraints
  • Define the technical architecture for enterprise AI platforms, including model deployment infrastructure, orchestration frameworks, and observability tools
  • Collaborate with governance teams to translate AI policies into technical controls and architectural safeguards
  • Partner with cross-functional business stakeholders, product leaders, and data science teams to understand requirements and translate them into technical solutions

Qualifications:

  • 18+ years of experience in enterprise software architecture and IT systems, with significant recent experience (4+ years) architecting AI/ML solutions and platforms
  • Deep hands-on experience with modern AI technologies including large language models, generative AI platforms, machine learning frameworks, and AI agent architectures
  • Expert-level knowledge of cloud platforms (AWS, Azure, GCP) and their AI/ML services, API design, microservices architecture, containerization, and modern software development practices
  • Demonstrated superior analytical and technical thinking across multiple areas of responsibility, with proven track record defining technical strategy and leading enterprise-scale AI initiatives