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.
Requirements
- 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.
Preferred Qualifications
- 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.
Soft Skills
- Strong communication and stakeholder management skills.
- Ability to lead technical discussions and influence architecture decisions.
- Strategic thinking with a hands-on approach.
This job was posted by Namrata Chauhan from Patch Infotech.
