Senior AI Architect

We are seeking a highly skilled Senior AI Architect with deep expertise in designing and implementing multi-agent architectures and integrating AI solutions with enterprise ecosystems. The ideal candidate will have hands-on experience in building scalable AI systems, defining reusable architectural patterns (such as RAG and orchestration), and enabling seamless connectivity with enterprise platforms like SAP, APIs, and data platforms.

Responsibilities

• Design and implement multi-agent AI architectures for complex enterprise use cases.
• Define and standardise reusable design patterns, including Retrieval-Augmented Generation (RAG), orchestration frameworks, and workflow automation.
• Integrate AI solutions with enterprise systems such as SAP, REST APIs, and modern data platforms.
• Lead architecture decisions for scalability, performance, and reliability of AI-driven applications.
• Collaborate with product managers, data scientists, and engineering teams to translate business requirements into technical solutions.
• Establish best practices for AI system design, deployment, and monitoring.
• Drive the adoption of AI frameworks and tools across the organisation.
• Ensure compliance with security, governance, and enterprise architecture standards.
• Mentor and guide junior engineers and architects in AI/ML system design.
  
  

• 8+ years of experience in software engineering, AI/ML architecture, or related domains.
• Proven expertise in designing multi-agent systems and distributed AI architectures.
• Strong understanding of RAG frameworks, LLM orchestration, and AI workflows.
• Experience integrating AI solutions with enterprise systems (e. g., SAP, APIs, data lakes/warehouses).
• Proficiency in programming languages such as Python, Java, or Scala.
• Hands-on experience with AI/ML frameworks and tools (e. g., LangChain, vector databases, orchestration tools).
• Strong knowledge of microservices architecture and cloud platforms (AWS, Azure, or GCP).
• Experience with data engineering concepts and platforms.
• Excellent problem-solving and system design skills.
  
  

• Experience in enterprise AI transformation initiatives.
• Familiarity with workflow automation tools and BPM platforms.
• Knowledge of MLOps, CI/CD pipelines, and deployment strategies for AI systems.
• Experience working in global, cross-functional teams.
  
  

• Strong communication and stakeholder management skills.
• Ability to lead technical discussions and influence architecture decisions.
• Strategic thinking with a hands-on approach.