AI Solutions Architect – Enterprise Back-End Systems

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.

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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.

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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.

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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.