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Senior specialist role with strong niche GenAI requirements reduces applicant pool.
Highly specialized GenAI and enterprise architecture skills limit cross-industry transferability.
Explicit 12–17 years requirement plus mandatory hands-on GenAI, architecture, and tech-stack mandates.
Design and build production-grade GenAI/Agentic AI solutions including RAG pipelines, LLM orchestration, and multi-agent workflows.
Define and enforce technical standards, reusable patterns, and architecture guidelines for AI delivery across projects.
Own AI-related budget management and lead technical mentoring and client-facing presales solutioning.
12–17+ years in software engineering with architecture or technical lead experience.
2–3 years recent hands-on experience in GenAI/Agentic AI projects involving LLMs, prompt engineering, and agentic AI patterns.
Proficient in Python for AI/ML, and strong software engineering background in .NET/C# and/or Java with REST API, microservices, cloud platforms (Azure/AWS/GCP), databases, containerization, and CI/CD.
Education: Any Degree. Work authorization in applying country without visa sponsorship required.
Experienced architect well-versed in end-to-end AI solution design and delivery with measurable team leadership in GenAI technical standards.
Comfortable operating with client engagement and presales technical discussions to translate requirements into viable AI solutions.
Strong foundation in enterprise software engineering capable of selecting and justifying diverse AI stacks based on problem context.