AI Solutions Architect – Enterprise Back-End Systems
ADV TECHMINDS
Bangalore, Karnataka
Contract
Full-time
7 days ago
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Job Title: AI Solutions Architect – Enterprise Back-End SystemsLocation: Remote (India)Work Timings: 3:00 PM – 11:00 PM ISTExperience: 15+ Years (Minimum 12++ years relevant experience)Contract Duration: 6 Months (Full-Time Consultant)Role OverviewWe are looking for an experienced AI Solutions Architect to lead the design, governance, and implementation of AI-driven capabilities across enterprise back-end systems. The role involves working across CRM, ERP, and iPaaS platforms to deliver intelligent automation and scalable enterprise solutions.---Key ResponsibilitiesDesign and implement AI-enabled enterprise architecture across CRM, ERP, and integration platforms.Lead systems integration initiatives ensuring seamless connectivity between enterprise applications.Develop and deploy AI/ML-based capabilities such as agentic AI systems, LLM-powered workflows, predictive analytics, and intelligent document processing.Implement and manage integration patterns including REST/GraphQL APIs, event streaming, ETL/ELT pipelines, and webhook-based automation.Collaborate with engineering teams and executive stakeholders to communicate architecture and technical strategies clearly.Align architecture and delivery with the Enterprise Technology operating model.---Required Skills & Experience10+ years of experience in enterprise solutions architecture, systems integration, or related fields.Hands-on experience with the following platform categories:CRM: Salesforce, HubSpot, Dynamics 365ERP: SAP S/4HANA, Oracle, NetSuiteiPaaS: MuleSoft, Boomi, Workato, Azure Integration ServicesExperience designing or deploying AI/ML solutions in production environments.Strong knowledge of API integrations, event-driven architecture, and automation frameworks.---Preferred QualificationsExperience with Vector Databases, RAG (Retrieval-Augmented Generation), or AI model fine-tuning.Knowledge of AI governance frameworks such as NIST AI RMF or EU AI Act.Familiarity with secure SDLC practices and data privacy standards.Cloud or enterprise certifications (AWS, Azure, GCP, Salesforce, NetSuite, Workato).Experience working in regulated industries like Financial Services, Healthcare, or Manufacturing.