Lead Solutions Architect

Job Description Roles & Responsibilities Sprinklr seeks a Lead Solutions Architect Platform, Data, AI & Integrations to partner with sales, product, and customer success to drive revenue by architecting, demonstrating, and operationalizing Sprinklr s Unified-CXM platform across enterprise technology, customer data, knowledge, and AI ecosystems. Solution Architects at Sprinklr combine deep technical expertise with strategic business consulting to uncover customer needs and position Sprinklr s platform, integration, customer data, knowledge, and AI capabilities. They provide trusted advisory guidance and rapidly map customer architectures across enterprise systems, customer data layers, knowledge frameworks, governance models, and emerging agentic AI ecosystems. This role focuses on Sprinklr s platform integration layer, customer data architecture, knowledge and experience design, enterprise AI/ML alignment, and agentic orchestration capabilities including connector ecosystems, native import/export workflows, open APIs, unified customer intelligence, knowledge activation, automation, and intelligent autonomous workflows. What You'll Do Platform, Integration & Customer Data Architecture Architect end-to-end platform, customer data, knowledge, and integration solutions leveraging Sprinklr s connector ecosystem, unified customer intelligence frameworks, native import/export capabilities, knowledge systems, and REST API ecosystem. Design enterprise customer data architectures including customer identity resolution, profile unification, source-agnostic ingestion, structured/unstructured data harmonization, segmentation frameworks, consent and governance layers, customer memory, and omnichannel data continuity. Develop customer knowledge and experience architectures that activate operational, behavioral, conversational, and contextual customer intelligence across AI, service, marketing, and customer engagement workflows. Present enterprise architecture blueprints for common patterns including CRM lifecycle integration, CDP synchronization, DAM connectivity, customer knowledge activation, omnichannel handover, case and interaction history continuity, reporting/analytics extraction, and platform extensibility. AI, Agentic & Knowledge Leadership Lead AI, knowledge, and agentic solution design by mapping customer ecosystems to Sprinklr AI+, conversational AI, LLM ecosystems, enterprise search, RAG frameworks, NLP engines, memory architectures, and autonomous workflow orchestration. Define architectures for agentic enterprise use cases such as AI copilots, autonomous customer service agents, knowledge assistants, intelligent routing, AI-driven workflow execution, retrieval-augmented generation (RAG), customer memory systems, and real-time decision intelligence. Design knowledge governance frameworks including content ingestion, semantic search, taxonomy design, vectorization strategies, metadata structures, knowledge lifecycle management, and enterprise-safe AI deployment. Advise on AI + customer data governance including guardrails, hallucination mitigation, memory controls, observability, consent frameworks, model governance, and human-in-the-loop safety. Presales Discovery, Consulting & Transformation Lead strategic discovery workshops to assess customer technology stacks, customer data maturity, AI readiness, and enterprise transformation opportunities across CRM, CDP, ERP, martech, DAM, analytics, cloud, compliance, and AI ecosystems. Map customer current-state ecosystems into Sprinklr s unified platform, customer data, knowledge, and AI architecture while producing fit-gap analyses, phased transformation strategies, and extensibility roadmaps. Develop and deliver compelling technical demonstrations, AI showcases, and Proofs of Concept (POCs)highlighting customer data activation, bi-directional integration, knowledge orchestration, API-led extensibility, agentic AI, and unified customer experiences. Translate fragmented architectures into strategic business outcomes by identifying operational inefficiencies, customer experience gaps, AI opportunities, and transformation priorities. Strategic Advisory & Thought Leadership Provide strategic guidance on enterprise architecture spanning authentication, customer identity, data governance, transformation pipelines, compliance, observability, rate management, knowledge governance, and AI safety. Collaborate across Sprinklr s product, platform, AI, architecture, and sales ecosystem to validate designs against current capabilities and future roadmap priorities. Support RFPs, executive presentations, and technical strategy related to platform design, customer data architecture, AI transformation, knowledge governance, security, and compliance. Serve as a subject matter expert on Sprinklr s platform + customer data + knowledge + AI + integration taxonomy, clearly articulating the value of unified architectures over fragmented ecosystems. Act as a trusted technical advisor to CIOs, Chief Digital Officers, Chief Data Officers, enterprise architects, AI leaders, and transformation teams by translating complex technical ecosystems into measurable business value. Travel Travel up to 40% for customer engagements, strategic workshops, partner enablement, executive advisory sessions, and industry events. Desired Candidate Profile Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related field; Master's degree preferred. 7+ years of experience in enterprise platform architecture spanning integrations, customer data, AI, knowledge systems, or cloud ecosystems. 5+ years of experience architecting and demonstrating enterprise solutions in presales, solutions engineering, technical consulting, or transformation leadership roles with measurable revenue impact Platform, Integration & Technical Depth Deep expertise in enterprise integration patterns including REST/GraphQL APIs, webhook orchestration, event-driven architecture, ETL/ELT pipelines, source-agnostic ingestion, identity systems, API gateways, and bi-directional SaaS connectivity. Hands-on experience with enterprise SaaS ecosystems including CRM, CDP, DAM, workforce management, analytics, martech, customer feedback, and operational systems. Strong proficiency with integration tooling and standards including OAuth 2.0, SAML/SSO, JSON/XML, iPaaS platforms, middleware, cloud integration ecosystems, and governance frameworks. Customer Data Architecture & Knowledge Systems Deep expertise in customer data architecture and enterprise knowledge design, including customer identity resolution, profile unification, master data alignment, metadata strategy, taxonomy design, knowledge graphs, and structured/unstructured data harmonization across CX, CRM, CDP, and service ecosystems. Proven experience architecting customer knowledge and experience frameworks that unify operational, behavioral, conversational, and contextual data to power personalized journeys, AI copilots, agentic workflows, retrieval-augmented generation (RAG), and enterprise search. Strong understanding of customer experience data models including journey orchestration, interaction history, case lifecycle, segmentation, consent, privacy, customer memory, and omnichannel continuity. Hands-on experience designing enterprise knowledge architectures supporting content governance, ingestion pipelines, semantic search, vectorization strategies, metadata frameworks, knowledge lifecycle management, and real-time decision intelligence. Ability to transform fragmented ecosystems into a unified customer data + knowledge + experience architecturethat improves customer outcomes, AI accuracy, operational efficiency, and platform scalability. AI, Agentic & Data Intelligence Strong knowledge of AI/ML, Generative AI, and agentic architectures including LLMs, NLP, RAG, enterprise search, vector systems, orchestration frameworks, memory systems, autonomous agents, and intelligent workflow automation. Experience designing agentic systems with governance, observability, trust layers, guardrails, lifecycle management, and enterprise-safe deployment strategies. Familiarity with cloud data ecosystems such as Snowflake, Databricks, AWS, Azure, GCP, or equivalent enterprise data intelligence platforms. Business Consulting & Leadership Strong capability to perform deep discovery across customer architecture, customer data maturity, AI readiness, and operational transformation needs while aligning phased adoption strategies. Excellent communication skills with the ability to influence enterprise architects, CIOs, CDOs, IT decision-makers, and C-suite executives by translating platform, data, AI, and customer experience architectures into business outcomes. Experience contributing to thought leadership, sales enablement, partner ecosystem growth, strategic transformation, and innovation programs. Governance, Privacy & Security Strong knowledge of security, privacy, compliance, and responsible AI frameworks including SOC 2, GDPR, CCPA, customer consent frameworks, governance-by-design, and enterprise-safe customer data activation. Ideal Differentiators Experience with conversational AI, autonomous enterprise agents, customer memory systems, or enterprise AI transformation. Familiarity with CCaaS, CXM, customer service transformation, and unified customer engagement ecosystems. Ability to position Sprinklr as more than a platform as a Unified Customer Experience, Customer Data, Knowledge, and Agentic AI Transformation Architecture. Passion for shaping the future of enterprise customer engagement through platform unification, customer intelligence, and autonomous AI innovation. Company Industry IT - Software Services Department / Functional Area IT Software Keywords Lead Solutions Architect Get real-time job updates only on our App