Team Lead AI and Computer Vision

JBS Global - Jaffer Business Systems; Karachi Division; On-site; PKR 1,800,000 - 3,000,000; Full time

Job summary

JBS AI in Karachi seeks an engineering leader to own delivery across the project portfolio, drive architecture decisions, and set quality standards while mentoring engineers.

You will manage client expectations, oversee resourcing, and stay hands-on when delivery risks arise to ensure on-time, on-scope outcomes for enterprise computer vision projects.

Qualifications

• Must have hands-on experience delivering production-grade computer vision systems.
• Ability to scope, estimate and direct AI/ML initiatives without building every component.
• Define and enforce architectural standards across concurrent projects.
• Experience leading an engineering team and mentoring engineers.
• Proven client-facing communication and stakeholder management.
• Comfort operating in a lean, fast-moving setup.

Responsibilities

• Own end-to-end delivery across the AI project portfolio from signed scope to client acceptance.
• Set and enforce code and quality standards and guide the engineering team.
• Review scope on proposals and sign off effort estimates and timelines.
• Run delivery updates with client stakeholders and manage expectations.
• Allocate engineering resources across live projects and flag staffing risks.

Skills

Computer vision

AI/ML landscape

Architecture leadership

Effort estimation

Engineering leadership

Client communication

Lean operating

Education

Bachelor's degree in CS/ENG

Production CV systems to production

Leadership of a 4–6 person team

Experience with enterprise clients

Job description

About the Company

JBS AI is the artificial intelligence and custom software division of JBS. We build enterprise computer vision, automation, and AI agent solutions for clients across four regions.

Role Overview

This role owns delivery across the JBS AI project portfolio — taking a project from signed scope through to shipped, on time, and accepted by the client. The role sits above the development team as its technical lead, making architecture decisions, setting code and quality standards, and mentoring the engineers. The role holds the technical relationship with clients: delivery updates, and expectation-setting.

Location

Karachi

Business Unit

JBS AI

Mode

Onsite

Type

Full-time

Job Responsibilities

Delivery Ownership

• Own end-to-end delivery across the AI project portfolio, from signed scope to client acceptance
• Hold projects to agreed timelines and raise risk early where they are slipping

Technical Leadership

• Make architecture decisions across all live projects
• Set and enforce code and quality standards
• Guide and mentor the engineering team
• Stay hands‑on enough to enter a project directly when delivery is at risk

Pre-sales Feasibility

• Review scope on every proposal before it goes to a client
• Sign off effort estimates and delivery timelines

Client Relationship — Technical

• Run delivery updates and set expectations with client stakeholders
• Escalate pricing, commercial terms and renewals to the BU Head

Resourcing

• Allocate engineering resource across live projects
• Flag early where an incoming deal cannot be staffed properly

Skills

• Production‑grade computer vision: edge, NVR and on‑prem deployment
• Working command of the wider AI and ML landscape — data projects, classical ML, and LLM‑based work — sufficient to scope, estimate, evaluate and direct the team, without necessarily building each piece personally
• Architecture and technical standard‑setting across concurrent projects
• Effort estimation and scope assessment under commercial pressure
• Engineering team leadership, delegation and mentoring
• Client‑facing communication, including declining a request without damaging the relationship
• Comfort operating in a lean setup

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, or a related discipline
• At least two enterprise computer vision systems taken fully to production — real deployments, real users, at scale. Proofs‑of‑concept and research demos do not count
• Prior leadership of an engineering team of approximately four to six people or more, with delivery outcomes verifiable through references
• Demonstrated experience holding the technical relationship with enterprise clients