GEN AI Consultant at Virtusa
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Jul 1, 2026
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Jul 20, 2026
What this job asks for AI summary
A hands-on development role focused on building production-grade generative AI applications on Azure, including RAG pipelines, LLM orchestration via Model Context Protocol, and backend APIs in Python. The work spans multiple LLM providers such as Claude and Gemini, vector database integration, and deployment through Azure OpenAI, AI Studio, and Azure Machine Learning. Suited to an experienced AI/ML developer comfortable owning end-to-end solution delivery.
Mid level · 3+ years · Hyderabad, India · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (9)
This role is based in Hyderabad, India (hybrid) — US compensation benchmarks do not apply.
The job title is 'GEN AI Consultant' but the posting body frames it as 'Generative AI Developer' with no explicit seniority level in either title; advertised seniority is treated as Unspecified.
The 3–5 year experience range maps to a Mid-level band; the scope (individual contributor, no org-wide authority) supports this.
Claude and Gemini are listed under Mandatory Skills and are treated as hard gates, though in practice familiarity with any major LLM provider is likely acceptable to the hiring team.
MCP (Model Context Protocol) is listed under Mandatory Skills and treated as a hard gate, despite being a relatively niche/emerging standard — worth flagging as a potential pool-narrowing requirement.
Vector databases (FAISS, Pinecone, Azure Cognitive Search) appear under Required Skills & Qualifications with 'familiarity with' language, softening them to preferred.
NLP, prompt engineering, LLM fine-tuning, REST APIs, and CI/CD appear under the 'Required Skills & Qualifications' section but are framed with softer language ('experience with', 'familiarity with', 'understanding of') compared to the explicit 'Mandatory Skills' block above; they are treated as preferred accordingly.
No compensation range is stated in the posting.
This role's work location reads as outside the US — the candidate pool, comp, and contention benchmarks here are US-only (BLS employment, Adzuna/USAJOBS demand, and certified H-1B wages), so treat them as a rough US reference, not a local market.
Read the full posting
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