Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 employer and metro location increase competition, but senior, niche agentic AI role reduces applicant density.
Highly specialized agentic GenAI, RAG, knowledge-graph, and multi-agent orchestration skills reduce cross-industry transferability.
Mandatory 12+ years plus deep GenAI, RAG, knowledge-graph, and multi-agent orchestration requirements.
Lead design and implementation of generative and agentic AI solutions, focusing on integration within enterprise Controls Technology platforms.
Architect and optimize RAG systems, knowledge graphs, multi-agent orchestration, and context engineering to improve automation and operational efficiency.
Ensure production-grade deployment, scalability, observability, and compliance of AI agentic applications, mentoring junior team members.
12+ years total experience with 5-7 years in AI/software development focused on Generative AI and agentic AI.
Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
Strong hands-on expertise in generative AI concepts, prompt and context engineering, RAG systems, knowledge graphs, and multi-agent AI frameworks.
Experience with cloud infrastructure (AWS or equivalent), containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for AI applications.
Senior-level engineer with deep expertise in architecting scalable, production-grade agentic AI and generative AI systems.
Experienced in complex multi-agent orchestration, knowledge graph design, and integration of advanced retrieval and context management techniques.
Capable of working in cross-functional teams and mentoring peers while ensuring AI solution reliability, safety, and compliance in regulated enterprise environments.