CipherCru Innovation Pvt Ltd
AI Solutions Architect – Enterprise Back-End Systems
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Leads the architecture, governance, integration, and delivery of AI-driven solutions across enterprise CRM, ERP, and iPaaS platforms. Designs AI/ML-enabled backend workflows, APIs, event-driven systems, automation pipelines, and production environments. Partners with technical and business stakeholders, ensures scalability, security, and compliance, and communicates architecture decisions. The role requires extensive enterprise architecture and systems integration experience, production AI implementation expertise, and knowledge of platforms such as Salesforce, SAP, MuleSoft, and related technologies.
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 Salary : 3 Lakhs per month
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.
- 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
- CRM: Salesforce, HubSpot, or Microsoft Dynamics 365
- Hands-on experience implementing AI/ML solutions in production, such as:
- LLM-powered workflows
- Agentic AI systems
- Predictive analytics
- Intelligent document processing
- LLM-powered workflows
- 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
- 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
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