Job Description: AI – Solution Architect (Exp: 15 Yrs+)
We are looking for a highly skilled and experienced AI as a Solution Architect to join the team. Your key mission will be supporting the business on their AI roadmap and transform their requirements into end-to-end AI Solutions, coordinating with our AI Factory.
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Experience should have 15+ Years AI Solution Architect of which 5+ years of hands-on experience in AI Solution Architecture.
- A very broad experience in different types of AI solutions: different technology stacks, different tooling, in-house and SaaS applications, Ability to evaluate what works and what doesn’t, what is mature and what isn’t.
- Proven experience deploying AI solutions in Microsoft Azure and SAP technologies
- Knowledge about SAP integration architectures
- Familiarity with LLMs and generative AI frameworks
- Knowledge of model monitoring, retraining, and explainability techniques.
- Excellent communication, collaboration, and stakeholder management skills.
- English: Advanced (written and spoken).
- Knowledge about Finance business processes
- Knowledge about Purchasing business processes is a plus
Roles & Responsibility:
Business & Requirements Analysis
- Actively participate to business process optimization workshops
- Collaborate with business stakeholders to identify challenges and opportunities where AI can add value.
- Translate business goals into technical requirements for AI solutions.
Identify use cases where AI adds real value, prioritizing ROI and feasibility.
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Solution Design & Architecture
- Design end-to-end AI solutions, covering:
- Data ingestion and processing
- Model training and evaluation
- Deployment, monitoring, and scaling
Ensure the architecture is scalable, maintainable, and secure.
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Model & Technology Selection
- Evaluate and recommend GenAI models, frameworks, and AI services.
- Decide between custom development and external tools
Collaboration & Cross-Functional Leadership
- Work closely with:
- Data Scientists — to ensure models meet business objectives
- Software Engineers / Developers — for integration into applications
- AI Technical architects
Act as a bridge between business, internal and external consulting teams and our implementation partners
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Governance, Compliance & Risk
- Ensure AI solutions follow ethical guidelines, avoid bias, and comply with regulations (GDPR, HIPAA, AI Act, etc.).
Ensure all AI solutions adhere to internal governance policies and procedures.
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Prototyping & Proof-of-Concepts
- Build or oversee prototypes / PoCs to validate technical feasibility and business impact.
Assess performance, accuracy, and latency of AI models in the target environment.
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Documentation & Communication
- Produce architecture diagrams, solution specifications, and technical documentation.
Present AI solution designs and clearly explain technical trade-offs to stakeholders and leadership.
