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Highly specialized senior-agentic AI role with deep LLM and architecture skills reduces applicant density.
Requires deep ML/AI architecture and enterprise integration experience, limiting cross-industry transferability.
Mandated 12+ years, 5+ years Generative AI, and deep architecture skills enforce strict filters.
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Define and architect enterprise-grade Agentic AI solutions, including multi-agent systems, governance, security, and integration with enterprise platforms.
Lead design and deployment of scalable AI frameworks leveraging LLMs and generative AI technologies across business units.
Drive AI modernization efforts ensuring production readiness, compliance, and measurable business impact such as automation and operational efficiency improvements.
12–18+ years in software engineering, AI/ML, cloud architecture, or enterprise solution architecture with at least 3–5 years in Generative AI solution design and implementation.
Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
Experience delivering enterprise-scale AI solutions with strong understanding of cloud-native architectures and enterprise integration patterns.
Proficiency with AI frameworks (e.g., LangChain, LangGraph), Large Language Models (GPT, Claude, Gemini, etc.), cloud platforms (Azure, AWS, Google Cloud), and programming languages (Python, Java, C#, JavaScript/TypeScript).
Senior-level architect experienced in designing autonomous, multi-agent AI systems with strong expertise in GenAI technologies and platforms.
Strategic thinker with proven ability to define enterprise AI roadmaps and governance frameworks ensuring security, compliance, and operational efficiency.
Experienced leader capable of collaborating with business stakeholders and mentoring technical teams to drive AI transformation from proof-of-concept to production deployment.