AI Solution Architect
AISolutionArchitect-AIStudio
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“AI Solution Architect - AI Studio at AI Solution Architect. Skills: AI Solution Architecture, GenAI Solutions, LLM Ecosystems, Scalable AI Pipelines, Cloud AI Services. Drive end-to-end ownership of high-impact AI use-cases from problem framing to production deployment. Orchestrate rapid prototyping, scalable architecture design, and delivery of parallel MVPs and products”
What You'll Achieve.
drive end-to-end ownership of high-impact AI use-cases from problem framing to production deployment; orchestrating rapid prototyping, scalable architecture design, and delivery of parallel MVPs and products across multiple use-cases within compressed timelines; own fast-delivered MVPs through to UAT and launch into production environments; surface outcome metrics; validate use-case feasibility; MVP readiness within 4–6 weeks; compliance with enterprise security, privacy, and governance standards; value realization
Industry & Context.
Ability to translate business problems into structured AI solutions
Travel Required: Up to 10%, Clearance Required: None
What They're Looking For.
Must Have
8–12 years of experience in AI solution architecture or applied AI delivery, Experience delivering AI/GenAI solutions from concept to production, understanding of LLM ecosystems, embeddings, vector databases, and agent frameworks, Experience building scalable AI pipelines with cost, latency, and observability considerations, Ability to manage multiple concurrent deliveries under tight timelines, Solid software engineering fundamentals including CI/CD and infrastructure automation, Working knowledge of cloud AI services, Experience implementing data privacy and governance controls, Ability to translate business problems into structured AI solutions, stakeholder communication and decision-making skills, Knowledge of Agile methodologies, experience working with tools like JIRA
Nice to Have
Experience across multiple industry domains with automation for AI use-cases, Exposure to enterprise productization beyond MVP, Familiarity with Azure AI, AWS Bedrock/SageMaker, or Google Vertex AI, Experience designing evaluation frameworks for GenAI systems, Relevant certifications in cloud, AI or agile methodologies
What You'll Do.
Drive end-to-end ownership of high-impact AI use-cases from problem framing to production deployment
Orchestrate rapid prototyping
scalable architecture design
and delivery of parallel MVPs and products
Own fast-delivered MVPs through to UAT and launch into production environments
Engage directly with business stakeholders to surface outcome metrics and validate use-case feasibility
Drive rapid prototyping cycles followed by elaboration
design and architecture finalization
Architect enterprise-grade GenAI solutions including RAG
and human-in-the-loop systems
Lead concurrent delivery of multiple AI use-cases ensuring MVP readiness within 4–6 weeks
Establish architectural guardrails across data
Ensure compliance with enterprise security
and governance standards
Translate architecture into delivery plans including backlog
and acceptance criteria
Own lifecycle from MVP to production including UAT and operational handover
Act as primary interface for stakeholders
articulating trade-offs and value realization
How You'll Work.
Team & Collaboration
Mentor engineering teams of 10-15 to maintain delivery velocity and design consistency; Act as primary interface for stakeholders, articulating trade-offs and value realization
Communication Scope
stakeholder communication; articulating trade-offs and value realization
Process & Methodology
Translate architecture into delivery plans including backlog, sprint planning, and acceptance criteria, Agile methodologies
Full Job Description
**_Job Family_ :** Data Science & Analysis (India) **_Travel Required_ :** Up to 10% **_Clearance Required_ :** None **Summary** AI Studio in India is seeking an AI Solution Architect to drive end-to-end ownership of high-impact AI use-cases from problem framing to production deployment. This role operates at the intersection of business-technology outcomes and applied AI, orchestrating rapid prototyping, scalable architecture design, and delivery of parallel MVPs and products across multiple use-cases within compressed timelines. This role will own fast-delivered MVPs through to UAT and launch into production environments. **What You Will Do** * Engage directly with business stakeholders to surface outcome metrics and validate use-case feasibility * Drive rapid prototyping cycles followed by elaboration, design and architecture finalization * Architect enterprise-grade GenAI solutions including RAG, agentic workflows, and human-in-the-loop systems * Lead concurrent delivery of multiple AI use-cases ensuring MVP readiness within 4–6 weeks * Establish architectural guardrails across data, models, orchestration, and deployment * Ensure compliance with enterprise security, privacy, and governance standards * Translate architecture into delivery plans including backlog, sprint planning, and acceptance criteria * Mentor engineering teams of 10-15 to maintain delivery velocity and design consistency * Own lifecycle from MVP to production including UAT and operational handover * Act as primary interface for stakeholders, articulating trade-offs and value realization **What You Will Need** * 8–12 years of experience in AI solution architecture or applied AI delivery * Experience delivering AI/GenAI solutions from concept to production * Strong understanding of LLM ecosystems, embeddings, vector databases, and agent frameworks * Experience building scalable AI pipelines with cost, latency, and observability considerations * Ability to manage multiple concurrent deliveries un
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