V
Architect
V
Architect
Virtusa- Posted 6 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
Integration patterns
LLMs
Responsible-AI practices
Security guardrails
AI and generative-AI capabilities
AI governance
ML models
About Company
Skills:
Lightning Web Components (LWC), Salesforce Certified Technical Architect (CTA), Salesforce Development, Data Architecture, Visualforce, APEX, Integration patterns, Salesforce APIs, SOAP APIs, Aura Components, Middleware solutions, Salesforce Certified System Architect, Salesforce security model, Salesforce Certified Application Architect, Sharing mechanisms
Skills:
data engineering , Pyspark, ELT, Nlp, Data Architecture, Siem, Python, AWS, Sql, Data Quality, Git, Databricks, Etl, RAG embeddings, knowledge graphs, CI CD, metadata lineage, Lakehouse architecture, Cloud Data Platforms, observability, vector semantic search, LLMs, AI GenAI, SOAR, Delta Lake
Skills:
Google Cloud Platform, Middleware, Microservices, Saml, Oauth, Rest Apis, Integrations, AWS, Apis, Microsoft Azure, Genesys Cloud CX, Conversational AI, Webhooks, Event Notifications, CCaaS
Skills:
.NET, snowflake , twilio , Data Governance, Data Modeling, Azure Administration, Python, AWS, Java, Sql, Databricks, Big Query, Segment, Salesforce Einstein, Adobe Experience Platform, Cdp, Tealium, Amperity, Ai, Data integration architecture, Treasure Data, Analytics, Data Cloud, Google Cloud Storage, Realtio