V
Architect
V
Architect
Virtusa- Posted 9 hours ago
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Job Description
Solution Architect — Accelerators
Hyderabad, Bengaluru or Colombo
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 clear 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. +
Hyderabad, Bengaluru or Colombo
- Hybrid
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 clear 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. +
More Info
Key Skills
About Company
Skills:
Oauth, Google Cloud Platform, Apis, Saml, Middleware, Integrations, Microservices, Microsoft Azure, Rest Apis, AWS, Genesys Cloud CX, CCaaS, Event Notifications, Conversational AI, Webhooks
Skills:
Azure Data Factory (ADF), Metadata Management, Data Warehouse Concepts, Scala, Spark, Python Programming, Azure Databricks, Data Modeling, Data Governance, Azure Data Warehouse, Entity Relationship design
Skills:
Java, Bdd, C, Zephyr, Jira, Accessibility Testing, Typescript, Gherkin, Javascript, Docker, Gitlab, Cucumber, Kubernetes, Python, Azure DevOps, Playwright, CI CD, AI assisted test generation, Xray, Test observability
Skills:
Azure Data Factory (ADF), Power Bi, Pyspark, Azure Databricks, Tableau, Sql, Database Design, Tensorflow, Azure ML, Devops, MLops, Azure Synapse Analytics, Azure Data Lake, Dimensional Data Modeling, Azure Data Explorer, Query Storage Performance Tuning, CI/CD, Microsoft Fabric