AI Solution Architect – Generative AI & Sprinklr

We are looking for an experienced AI Solution Architect with strong expertise in Generative AI, LLMs, conversational AI, and Sprinklr-based contact center solutions.

The role will be responsible for owning the AI solution architecture, translating business outcomes and use cases into technical AI requirements, mapping appropriate Sprinklr and Generative AI capabilities, defining scalable solution patterns and guardrails, and providing architecture leadership throughout implementation and delivery.

The ideal candidate should remain hands-on with AI architecture and solution design while guiding engineering teams and ensuring production-ready solutions.

Key Responsibilities

• Engage with business and product stakeholders to understand business use cases, customer journeys, constraints, and success criteria.
• Translate business requirements into clear and actionable technical AI requirements.
• Assess and map relevant Sprinklr AI, Conversational AI, Knowledge, Automation, and Integration capabilities to business requirements.
• Design end-to-end Generative AI solutions covering:
• LLMs and prompt engineering
• Grounding and RAG
• Agentic AI patterns
• Orchestration
• Enterprise integrations
• Context management
• Observability
• Human handoff
• Create solution designs and provide technical guidance to AI, bot, and engineering teams.
• Define and review approaches related to intents, entities, dialogues, prompts, knowledge, APIs, integrations, and testing.
• Lead technical architecture reviews and resolve design decisions, dependencies, and technical trade-offs.
• Ensure AI solutions align with enterprise architecture, integration, data, security, and governance standards.
• Review implementation quality, testing results, observability evidence, risks, and production readiness.
• Guide teams in defect resolution, performance tuning, optimization, and solution improvements.
• Lead backlog refinement and grooming from a technical AI architecture perspective.
• Define reusable AI architecture patterns, quality gates, guardrails, risks, and architecture decisions.
• Collaborate with cross-functional teams to ensure successful implementation and delivery.Required Skills & CompetenciesGenerative AI
• Strong hands-on knowledge of LLMs, Generative AI, Prompt Engineering, RAG/Grounding, Agentic AI, Guardrails, and AI Evaluation.
• Experience designing enterprise-grade GenAI solutions.

Sprinklr AI

• Strong understanding of Sprinklr AI and contact center capabilities.
• Ability to map business requirements to relevant Sprinklr AI, Conversational AI, Knowledge, Automation, and Integration capabilities.

AI Architecture

• Ability to design scalable, secure, explainable, observable, and supportable AI solutions.
• Strong understanding of AI architecture patterns and enterprise AI implementation.

Requirements Translation

• Ability to convert business journeys and outcomes into:
• Technical requirements
• Interfaces
• Controls
• Acceptance criteria
• Solution designs

Integration & Data

• Strong understanding of APIs, enterprise data sources, context mapping, knowledge systems, and AI integration dependencies.
• Experience working with enterprise integration and data architecture teams.

Technical Leadership

• Experience guiding AI/engineering teams and conducting technical design reviews.
• Strong ability to resolve technical trade-offs and maintain delivery alignment.
• Ability to mentor and provide architecture guidance to implementation teams.

Backlog & Governance

• Experience leading backlog refinement and grooming.
• Ability to define reusable patterns, architecture decisions, risks, dependencies, quality gates, and production-readiness criteria.

Key Deliverables

• AI solution architecture and capability mapping connecting business requirements with Sprinklr and Generative AI components.
• Technical AI requirements and reusable solution design patterns.
• Architecture decisions, AI guardrails, integration requirements, and observability requirements.
• Backlog-ready technical solution inputs.
• Reviewed solution designs and implementation guidance.
• Risk and dependency identification and resolution actions.
• Production-readiness recommendations and architecture assurance.

Preferred Candidate Profile

• 10–12 years of overall experience in technology, AI, solution architecture, or related roles.
• Strong experience in Generative AI and AI solution architecture.
• Hands-on experience with Sprinklr and contact center AI solutions.
• Strong stakeholder management and communication skills.
• Experience working in enterprise-scale AI transformation or digital transformation programs.
• Ability to balance hands-on technical contribution with architecture leadership.
• Strong analytical, problem-solving, and decision-making skills.

Skills: sprinklr,solution architecture,data,integration