AI Solution Architect

Apgar is a consulting firm specializing in Data Management, supporting organizations of all sizes and industries in unlocking the value of their strategic data. Our services cover the full data lifecycle — from consulting and implementation to training, preconfigured solutions, and production platform support.

With 18 offices worldwide and a team of 250 experts, Apgar is recognized as a key player in the Data Management market. We have been listed by Gartner among the 18 global leaders in its MDM Market Guide 2021 for the second consecutive year.

Certified Great Place To Work® since 2022, Apgar places people at the heart of its model. We foster an inclusive, collaborative, and empowering work environment where everyone can grow, share ideas and find their place according to their aspirations and their work-life balance.

Our international and multicultural teams are a core strength of our success.

Your Role

The AI Solution Architect plays a strategic and technical leadership role in shaping, promoting, and delivering innovative AI solutions. Leveraging expertise in Agentic AI, Machine Learning, Natural Language Processing (NLP), Information Retrieval, and Software Development, the AI Solution Architect designs scalable architecture, supports business development efforts, drives presales activities, and leads AI solution adoption across client organizations.

The role combines technical leadership, solution design, client engagement, team coordination, and innovation to ensure the successful growth and delivery of Apgar's AI offerings.

AI Strategy & Solution Architecture

• Design end-to-end AI solution architectures aligned with client business objectives.
• Define technical roadmaps for AI initiatives, from ideation through deployment and scaling.
• Architect solutions leveraging Agentic AI, Generative AI, Machine Learning, NLP, Information Retrieval, and enterprise software technologies.
• Ensure solution scalability, security, performance, maintainability, and governance.
• Define integration patterns between AI solutions and enterprise systems.
• Drive adoption of best practices in AI architecture, MLOps, LLMOps, and Responsible AI.

Client Engagement & Business Consulting

• Act as a trusted advisor to clients throughout their AI transformation journey.
• Collaborate with business leaders to identify opportunities where AI can create measurable value.
• Translate business challenges into innovative AI-driven solutions.
• Conduct discovery workshops, assessment sessions, and strategic advisory engagements.
• Present technical and business recommendations to executive stakeholders.
• Support clients in defining AI adoption roadmaps and governance frameworks.
• Lead technical presales activities for AI opportunities.
• Participate in client presentations, workshops, demonstrations, and proof-of-concept discussions.
• Design solution proposals and technical approaches in response to RFPs and client requirements.
• Support effort estimation, project scoping, and resource planning.
• Develop compelling value propositions demonstrating the business impact of AI initiatives.
• Contribute to proposal writing and solution documentation.

AI offering Development & Promotion

• Serve as a key ambassador for Apgar's AI offerings.
• Demonstrate AI use cases, accelerators, and industry-specific solutions to prospects and clients.
• Collaborate with marketing and business teams to promote AI thought leadership.
• Contribute to webinars, conferences, workshops, and client showcases.
• Develop reusable solution frameworks, accelerators, and AI assets.

Technical Leadership & Team Coordination

• Provide technical leadership to AI consultants and project teams.
• Guide architecture decisions throughout project lifecycles.
• Mentor junior and senior AI consultants on best practices and emerging technologies.
• Facilitate knowledge sharing and innovation within the AI team.
• Coordinate technical activities across AI engagements and initiatives.
• Review solution designs and ensure alignment with architectural standards.
• Continuously evaluate emerging AI technologies, frameworks, and market trends.
• Explore advancements in Agentic AI, LLM ecosystems, Retrieval Augmented Generation (RAG), multi-agent systems, and enterprise AI architectures.
• Lead experimentation initiatives and proof-of-concepts.
• Recommend new technologies and approaches that strengthen Apgar's AI capabilities.
• Contribute to the evolution of AI methodologies and delivery frameworks.

Your Profile

Education

• PhD or Master’s degree in Computer Science, Artifici