AI Solution Architect

Responsibilities

• Act as a go-to expert for AI-related topics across client engagements
• Lead the design of end-to-end AI architectures, including data pipelines, model training environments, integrations, and MLOps strategies
• Evaluate and select appropriate AI frameworks, tools, and models
• Support decision-making processes for make vs. buy AI solutions
• Ensure AI solutions comply with security standards, ethical guidelines, and enterprise reliability requirements
• Support product management and innovation teams in identifying AI use cases that deliver real business value (e.g. efficiency improvements, customer value)
• Contribute to the creation of AI strategy and roadmaps, including ideation workshops, AI hackathons, and architecture discussions
• Provide technical leadership in Machine Learning, Generative AI, and Agentic AI
• Collaborate with product managers, data scientists, data engineers, and DevOps engineers to bring AI solutions into production
• Monitor and improve AI systems using performance metrics, A/B testing, and optimization techniques

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