Role & responsibilities

A. Requirement Analysis & Solution Design

- Gather and analyse client requirements for AI use cases.
- Evaluate client architecture and identify integration points.
- Design scalable AI integration solutions using ZenseAI.
- Define technical specifications and integration approach.
- Create solution architecture documentation and technical designs.
- Collaborate with business stakeholders, architects, and development teams.

B. ZenseAI Integration

- Integrate ZenseAI services with client applications.
- Develop and maintain APIs, SDK integrations, and middleware components.
- Configure authentication, authorization, and secure data exchange mechanisms.
- Implement AI workflows, prompts, automation flows, and business rules.
- Ensure seamless communication between client systems and ZenseAI services.
- Support integration with CRM, ERP, CMS, ServiceNow, SharePoint, Teams, or other enterprise platforms.

C. Development & Customisation

- Build custom connectors and integration components.
- Develop reusable modules for AI interactions.
- Customize AI responses and business workflows based on client requirements.
- Implement data preprocessing and validation mechanisms.
- Extend platform capabilities when standard functionality is insufficient.

D. Testing & Quality Assurance

- Create integration test plans and test cases.
- Perform unit, integration, system, and user acceptance testing.
- Validate AI response accuracy and business rule compliance.
- Conduct performance and scalability testing.
- Ensure production readiness before deployment.

E.



Production Support & Issue Resolution

- Investigate and resolve ZenseAI integration issues.
- Troubleshoot API failures, latency, authentication, and connectivity problems.
- Analyse logs and system metrics to identify root causes.
- Provide timely resolution to incidents and service requests.
- Coordinate with ZenseAI product teams and client stakeholders during critical issues.
- Perform root cause analysis (RCA) and implement preventive measures.

F. Monitoring & Optimisation

- Monitor system health and AI service performance.
- Track usage metrics, response time, and reliability.
- Optimise prompts, workflows, and integrations.
- Recommend improvements to increase efficiency and user experience.
- Ensure SLA compliance and service availability.

G. Security & Compliance

- Implement security best practices for AI integrations.
- Ensure compliance with client security policies and regulations.
- Manage access controls and data protection mechanisms.
- Conduct security reviews and vulnerability assessments.
- Support governance and audit requirements.

H. Documentation & Knowledge Management

- Create technical documentation and implementation guides.
- Maintain runbooks and support procedures.
- Document architecture, APIs, configurations, and workflows.
- Deliver knowledge transfer sessions to support teams.
- Maintain issue and resolution repositories.

Qualifications -

- 4 to 8+ years in software engineering and integrations.
- Experience with AI/LLM platforms preferred.
- Experience with enterprise application integrations and production support.

📌 AI Engineer (Pune)
🏢 Zensar
📍 Pune