AWS GenAI Platform Engineer (Cloud Engineer with AWS + AI) at Virtusa
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Jul 1, 2026
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Jul 20, 2026
What this job asks for AI summary
A senior cloud and AI platform engineering role focused on designing and operating AWS infrastructure alongside generative AI capabilities. Day-to-day work spans building IaC-driven cloud architecture, CI/CD pipelines, data integrations, and security controls, while also owning Amazon Bedrock integrations, RAG pipelines, agentic AI workflows, and MLOps practices for foundation models. Suited to experienced engineers with deep AWS hands-on background and practical GenAI/LLM platform experience.
Senior level · 6+ years · National · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
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 (8)
This role is based in Chennai, India (IN-TN-Chennai) — US compensation benchmarks do not apply.
The title carries no seniority level word; advertised seniority is Unspecified. The 6–9 years overall / 5+ years cloud / 3+ years AWS requirements support a Senior classification.
SOC classification is Medium confidence: the role writes and ships IaC, pipelines, and AI platform code (pointing to 15-1252 Software Developers), but a meaningful portion of the work is operating and maintaining cloud infrastructure (which could support 15-1244). The primary day-to-day emphasis on building reference architectures, IaC modules, CI/CD pipelines, and GenAI integrations tips the balance to 15-1252.
The JD states 'Bachelor's degree in Computer Science/Engineering or equivalent experience' — because equivalent experience is explicitly accepted, no formal degree is hard-required.
The overall experience range is stated as '6-9 years'; minimum (6) is used for the overall years minimum. The 5+ years cloud engineering and 3+ years AWS figures are role-level and skill-level requirements respectively.
OpenSearch is listed as one of several vector store options alongside Aurora and DynamoDB for RAG pipelines; all three are named as alternatives under the OpenSearch skill entry.
DVC and Git are listed together as versioning options under MLOps/Governance; Git here refers to its use as a model/dataset versioning tool alongside DVC, not general source control.
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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