Lead the end-to-end design of AI and data solutions, ensuring alignment with business requirements, technical standards, and enterprise architecture.
Act as the primary technical authority for AI initiatives, guiding solution decisions, managing architectural risks, and ensuring design integrity across delivery teams.
Define and evolve AI architectures, including data pipelines, ML platforms, model deployment patterns, and integration with enterprise systems.
Partner with clients and stakeholders to identify AI use cases, assess feasibility, and translate business needs into scalable technical solutions.
Establish architectural governance, best practices, and design patterns to ensure security, compliance, performance, and maintainability.
Provide hands-on technical guidance and mentorship to engineering teams during implementation, reviews, and production readiness.

10+ years of experience in solution architecture, technical consulting, or engineering roles focused on data, analytics, and AI-enabled systems.
5+ years of hands-on experience designing and implementing AI/ML solutions using modern cloud platforms (e.g., Azure, AWS, GCP) and AI services.
Strong expertise in data architectures, including data lakes, lakehouses, data warehouses, and real-time or event-driven data platforms.
Proven experience with AI/ML frameworks, model lifecycle management (MLOps), and scalable deployment patterns.
Demonstrated ability to lead technical design discussions, influence architectural decisions, and communicate complex concepts to technical and non-technical audiences.
Experience collaborating with delivery, product, and business teams to ensure solutions are feasible, secure, and aligned with strategic goals.
Preferred certifications: Cloud Architect certifications (Azure, AWS, GCP), AI/ML certifications, TOGAF, or equivalent architecture credentials.

AI Solution Architect

Key skills