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Specialized senior GenAI architect role with niche skills reduces applicant density despite AI popularity.
Requires deep GenAI and architecture experience so skills are somewhat industry-transferable but domain-sensitive.
Explicit 12+ years, mandatory recent GenAI experience, architecture expectations and specific tech stack demand high filtering.
Lead design and build of production-grade GenAI and Agentic AI systems including RAG pipelines and multi-agent workflows.
Set technical direction, standards, reusable patterns, and architecture for AI delivery across projects.
Manage AI-related budgets and justify tooling, licensing, and infrastructure costs against delivery outcomes.
12–17+ years in software engineering with a proven architecture or technical lead track record.
At least 2–3 years hands-on experience in GenAI/Agentic AI projects involving LLMs, RAG, Agentic AI patterns, and vector databases.
Strong software engineering skills in .NET/C# and/or Java at an architecture level, including REST API, microservices, cloud platforms (Azure/AWS/GCP), SQL/NoSQL databases, containerization, and CI/CD.
Ability to operate client-facing and presales technical discussions; current and future work authorization in applying country required.
Experienced architect with both deep software engineering and applied AI expertise comfortable owning end-to-end solution architecture.
Strategic thinker who chooses AI stacks and technical approaches based on problem fit, establishes team standards, and enforces production readiness with evaluation and guardrails.
Capable technical leader who mentors a team, shapes AI delivery discipline, and bridges client requirements into scalable AI solutions.