Job Openings Engineering Manager (Applications, Integrations & AI Solutions)

About the job Engineering Manager (Applications, Integrations & AI Solutions)

Engineering Manager (Applications, Integrations & AI Solutions)

About the Role

The Engineering Manager – Applications, Integrations & AI Solutions will lead the technical delivery and execution of our Client's internal digital products, enterprise applications, AI-enabled solutions, integrations, dashboards, workflow automation initiatives, and business technology platforms.

Reporting directly to the Group CTO, this role is responsible for translating business
requirements into scalable production-ready solutions while managing engineering
execution, technical quality, vendor coordination, architecture implementation, release management, and AI-assisted software development practices.

This is a hands-on leadership role requiring both people management and the ability to
personally design, build, review, troubleshoot, and deliver production-grade software
solutions when required.

Key Responsibilities

  • Own delivery scope, timelines, dependencies, and execution quality
  • Drive release planning and prioritization
  • Conduct architecture and technical reviews
  • Drive AI-assisted software development practices
  • Partner with business stakeholders and vendors
  • Support production applications and operational continuity
  • Key areas of ownership: Internal Product Development, Application Engineering, AI & Intelligent Solutions, Enterprise Integrations, Engineering Team Leadership, and Vendor Technical Oversight.

Required Qualifications

  • 5–7 years software engineering experience
  • 2+ years engineering leadership experience
  • Enterprise application delivery experience
  • Vendor management experience
  • Strong hands-on engineering background
  • Technical skills: Python, JavaScript/TypeScript, REST APIs, Backend Services, Web & Mobile Development, PostgreSQL, Enterprise Integrations, ETL/ELT, Data Pipelines, GitHub, CI/CD, Cloud Platforms (AWS/Azure/GCP), System Design, Monitoring & Governance. 
    Good to have    : Kafka, Redis, AI APIs, LLM Integrations, AI Agents, ERP/CRM Integrations, BI Platforms, Workflow Automation, Data Warehouse Concepts.

Success Metrics

  • Successful project delivery
  • Engineering quality and stability
  • Vendor delivery effectiveness
  • Business stakeholder satisfaction
  • AI adoption and productivity improvements
  • Platform reliability and operational efficiency

Or refer someone