AI Solution Architect

Addepto is a leading AI consulting ( https://addepto.com/ai-consulting/ ) and data engineering ( https://addepto.com/data-engineering-services/ ) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.

The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide .

As part of KMS Technology , a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.

We are looking for an AI Solution Architect who will play a key role in shaping and delivering AI strategies for enterprise clients. This position blends technical leadership, architecture design, and strategic advisory . You will act as a trusted expert in AI, helping organizations design scalable solutions, identify high-impact use cases, and bring AI initiatives from concept to production.

Your main 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
• Research and evaluate emerging AI technologies and assess their impact on business transformation
• Drive knowledge sharing and AI adoption across the organization