AI (AMGBTTH10661) – Solution Architect (Exp: 15 Yrs+)

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.

• 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.

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.

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

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.

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.

Documentation & Communication

• Produce architecture diagrams, solution specifications, and technical documentation.

Present AI solution designs and clearly explain technical trade-offs to stakeholders and leadership.