Engineering Manager ( Applications, Integrations & AI Solutions)

Engineering Manager ( Applications, Integrations & AI Solutions) - Talent Search Recruitment | Career Page

Engineering Manager ( Applications, Integrations & AI Solutions)

Jakarta, Jakarta, Indonesia

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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

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