AI & Computer Vision Delivery Lead

Jaffer Business Systems (Private) Limited; Karachi Division; On-site; PKR 1,800,000 - 3,000,000; Full time

Job summary

JBS AI, the AI and software division of JBS, seeks a Technical Delivery Lead to own end-to-end delivery across the project portfolio and ensure on-time, client-accepted outcomes. You will sit above the development team, make architecture decisions, and set coding standards while mentoring engineers.

You will manage client relationships, coordinate with stakeholders on scope, estimates, and timelines, and help flag staffing needs to keep delivery accurate in a lean, enterprise environment.

Qualifications

• Bachelor's degree in CS, SE, CE, Data Science, or related field.
• At least two enterprise computer vision deployments to production.
• Experience leading an engineering team of 4–6 people with delivery outcomes verifiable by references.
• Proven experience managing the technical relationship with enterprise clients.

Responsibilities

• Own end-to-end delivery across the AI project portfolio from signed scope to client acceptance.
• Make architecture decisions and set code/quality standards across projects.
• Mentor and guide the engineering team; stay hands-on when delivery is at risk.
• Review scope on proposals and sign off effort estimates and delivery timelines.
• Run delivery updates and manage client expectations; escalate pricing/terms when needed.

Skills

Computer vision

AI/ML knowledge

Software architecture

Estimation & scope

Engineering leadership

Client communication

Education

Bachelor's degree in CS/SE/CE/Data Science or related field

Job description

JBS AI, the AI and software division of JBS, seeks a Technical Delivery Lead to own end-to-end delivery across the project portfolio and ensure on-time, client-accepted outcomes. You will sit above the development team, make architecture decisions, and set coding standards while mentoring engineers.

You will manage client relationships, coordinate with stakeholders on scope, estimates, and timelines, and help flag staffing needs to keep delivery accurate in a lean, enterprise environment.