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
Apply To This Job
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
Apply To This Job