Back
Metro location plus broad GenAI skill requirements create moderate candidate competition.
Highly specialized enterprise Agentic AI architecture skills limit easy transfer across unrelated industries.
Explicit 12+ years and 5+ years AI/GenAI requirements with many mandatory technical skills make filtering strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Define and lead enterprise-wide Agentic AI architecture, platform standards, and governance ensuring production readiness and alignment with business units.
Design and architect autonomous multi-agent AI systems, including orchestration, lifecycle management, and reusable AI capabilities across use cases.
Architect scalable AI solutions incorporating LLMs and GenAI on cloud platforms, integrating with enterprise systems and overseeing AI security, compliance, and Responsible AI frameworks.
12–18+ years experience in Software Engineering, AI/ML, Cloud Architecture, or Enterprise Solution Architecture with at least 3–5 years in Generative AI solution design.
Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
Experience delivering enterprise-scale AI solutions with strong knowledge of cloud-native architectures and enterprise integration patterns.
Proficiency with AI frameworks (LangChain, LangGraph), cloud platforms (Azure, AWS, Google Cloud), multi-agent AI systems, and relevant programming languages (Python, Java, C#, JavaScript/TypeScript).
Senior architect with strong track record in designing and deploying production-grade autonomous AI agent solutions at enterprise scale.
Experienced in multi-cloud AI solution architecture including AI platform engineering and integrations with major enterprise software like SAP, Salesforce, Microsoft 365.
Strategic thinker skilled in AI governance, security, and operational excellence driving measurable business productivity and AI reliability improvements.