AI Automation Architect
AI Automation Architect is required by our global client We are looking for a senior-level technical leader to design, build, and deploy intelligent, autonomous workflows that integrate machine learning (ML) and Large Language Models (LLMs) into business operations within a major SAP S/4 HANA client.
Skills
About This Role
Overview
AI Automation Architect is required by our global client
We are looking for a senior-level technical leader to design, build, and deploy intelligent, autonomous workflows that integrate machine learning (ML) and Large Language Models (LLMs) into business operations within a major SAP S/4 HANA client.
You will bridge the gap between high-level business goals and technical execution to reduce manual dependency and optimize enterprise productivity
Responsibilities
- Design robust multi-agent frameworks, AI hubs, and microservices capable of coordinated reasoning and executing real-world tasks
- Identify bottlenecks in sales, HR, customer service, and operations, replacing manual processes with intelligent, self-correcting loops
- Build APIs, webhooks, and secure bridges to connect AI capabilities to existing enterprise systems (in this case SAP ).
- Ensure compliance, enforce access controls, and implement safeguards against prompt injection or data leakag
- e.Build deployment pipelines for models, ensuring version control, automated testing, and scalable infrastructure
- Essential experience should include
- Deep practical knowledge of AI orchestration
- Experience designing end to end AI/ML solutions
- Hands-on experience with low-code/no-code platforms and workflow builders
- A hybrid mindset that understands strategic business logic and technical architecture
- At least 5 years of professional experience in software engineering, data engineering, ML engineering, or data science, including at least 2 years in roles with architectural or technical lead responsibilities for AI/ML solutions
- Proven experience designing and delivering at least one production AI/ML system integrated into business processes or customer facing products
- Practical experience working with cloud native solutions in at least one major cloud including use of managed data/ML services
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