Team Lead AI and Computer Vision

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