Design the architecture of Virtusa’s solution accelerators, turning recurring client problems into productized, deployable assets. +
Embed AI and generative-AI capabilities into accelerators — model selection, integration patterns,
evaluation, and guardrails.
Partner with sales and delivery teams to shape proposals, run architecture consulting sessions, and build proofs of concept that validate the approach.
Translate business requirements into technical designs across cloud platforms, APIs, and integration patterns.
Set technical standards and guide engineering teams through implementation. +
Keep accelerators current as AI, cloud, and platform technologies evolve. +
Able to design and ship production-grade solution architectures across cloud, APIs, and integration patterns.
Hands-on experience building and delivering AI and generative-AI solutions (LLMs and ML models) into production.
Able to turn recurring business problems into reusable, productized accelerators. +
Able to lead architecture conversations with clients and translate business needs into explicit technical designs.
Able to guide and mentor engineering teams through delivery. +
Depth in a major cloud platform (AWS, Azure, or GCP) and its AI services. +
Familiarity with AI governance, responsible-AI practices, and security guardrails. +
Architecture certification (such as TOGAF) or cloud architecture credentials. +
Pre-sales or client-facing consulting experience. +
📌 Architect Bengaluru
🏢 Virtusa
📍 Bengaluru
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