AI Solutions Architect – Enterprise Back-End Systems (Remote)

• Job Title: AI Solutions Architect – Enterprise Back-End Systems
• Location: Remote (India)
• Work Timings: 3:00 PM – 11:00 PM IST
• Experience: 15+ Years (Minimum 12++ years relevant experience)
• Contract Duration: 6 Months (Full-Time Consultant)
• Role Overview

We 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 Responsibilities
• Design 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 & Experience

• 10+ years of experience in enterprise solutions architecture, systems integration, or related fields.
• Hands-on experience with the following platform categories:
• CRM: Salesforce, HubSpot, Dynamics 365
• ERP: SAP S/4HANA, Oracle, NetSuite
• iPaaS: MuleSoft, Boomi, Workato, Azure Integration Services
• Experience designing or deploying AI/ML solutions in production environments.
• Strong knowledge of API integrations, event-driven architecture, and automation frameworks.

Preferred Qualifications

• Experience 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.