AI Solutions Architect – Enterprise Back-End Systems

This is a remote position.

Job Title: AI Solutions Architect – Enterprise Back-End Systems

Location: Remote
Shift: 03:00 PM – 11:00 PM (IST)
Experience: 10+ Years
Contract Duration: 6 Months(extendalbe as per project)
Salary : 3 Lakhs per month

About the Role

We are seeking an experienced AI Solutions Architect to lead the design, governance, and delivery of AI-driven and intelligent automation solutions across enterprise back-end systems.

This role focuses on integrating AI capabilities into core platforms such as CRM, ERP, and iPaaS, ensuring scalable, secure, and business-aligned implementations.

Key Responsibilities

Design and implement AI-driven solutions across enterprise systems (CRM, ERP, iPaaS)

Define architecture for integrating AI/ML capabilities into backend workflows

Lead system integration using APIs, event-driven architectures, and automation pipelines

Collaborate with business and technical teams to align AI solutions with organizational goals

Ensure scalability, security, and governance of AI systems in production environments

Communicate architectural decisions clearly to stakeholders and leadership

Drive end-to-end delivery aligned with enterprise technology standards

Requirements

Required Skills & Experience

10+ years of experience in enterprise architecture, system integration, or similar roles

Strong experience with at least one platform in each category:

CRM: Salesforce, HubSpot, or Microsoft Dynamics 365

ERP: SAP S/4HANA, Oracle ERP, or NetSuite

iPaaS: MuleSoft, Boomi, Workato, or Azure Integration Services

Hands-on experience implementing AI/ML solutions in production, such as:

LLM-powered workflows

Agentic AI systems

Predictive analytics

Intelligent document processing

Strong understanding of integration patterns: REST/GraphQL APIs, event streaming, ETL/ELT, webhooks

Excellent communication skills to work with both technical and non-technical stakeholders

Preferred Qualifications

Experience with vector databases and RAG (retrieval-augmented generation) architectures

Familiarity with AI governance frameworks (e.g., NIST AI RMF, EU AI regulations)

Knowledge of data privacy, security, and secure development practices

Cloud certifications (AWS, Azure, or GCP)

Experience in regulated industries such as financial services, healthcare, or manufacturing

Benefits

Opportunity to work on cutting-edge AI-driven enterprise solutions

Exposure to large-scale backend systems and integrations

Fully remote, flexible working environment