Lead the design and implementation of agentic AI solutions
Engage deeply with business leaders to translate strategic objectives into architectures
Define system blueprints for multi-agent ecosystems
Guide integration of data, knowledge graphs, and enterprise systems
Own the end-to-end solution lifecycle from business understanding to deployment
Requirements
Minimum 12 - 16 years of overall experience in IT industry
Proven experience designing and deploying enterprise-scale agentic AI architectures
Expertise in AI/ML development, LLM orchestration, and agent frameworks such as LangChain, LlamaIndex, Hugging Face, AutoGen, CrewAI, or Azure AI Studio/Prompt Flow
Strong architectural background in cloud-native AI platforms (Azure, AWS, GCP)
Exceptional communication and influence skills
Track record of managing multiple enterprise AI initiatives
Benefits
Employee learning programs with access to industry certifications
Opportunities for volunteering and giving through a company-wide platform
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