AI Enablement & Engineering Lead

Contour Software; Karachi Division; On-site; PKR 400,000 - 800,000; Full time

Benefits offered by this job

Market-leading Salary

Medical Coverage - Self & Dependents

Provident Fund

Employee Performance-based bonuses

Home Internet Subsidy

Conveyance Allowance

Profit Sharing Plan [Tenured Employees

Life Benefit

Child Care Facility

Company Provided Lunch/Dinner

Professional Development Budget

Recreational area for in-house games

Sporadic On-shore training opportun it

Job summary

Contour Software seeks an AI Engineering and Enablement Lead to drive AI adoption across software development, QA, and related business functions. You will design, implement, and scale practical AI solutions while embedding AI into day-to-day workflows and establishing engineering best practices.

You will work closely with development, QA, and business stakeholders to improve productivity, enable responsible AI adoption, and enable AI-enabled capabilities across the organization.

Responsibilities

• AI Engineering & Solution Development: Design and implement AI-powered solutions using modern AI platforms, LLMs, agentic AI, workflow automation.
• AI-DLC: Drive adoption of AI-enabled engineering practices across development and QA teams.
• AI Enablement: Identify opportunities where AI can improve delivery efficiency, quality, and outcomes.
• Capability Building & Knowledge Sharing: Support AI-focused training and knowledge assets across teams.
• Technical Leadership: Provide mentorship and help define AI roadmaps and priorities.
• Success Metrics: Measure AI adoption and delivery of production-ready AI solutions.

Job description

Contour Software seeks an AI Engineering and Enablement Lead to drive AI adoption across software development, QA, and related business functions. You will design, implement, and scale practical AI solutions while embedding AI into day-to-day workflows and establishing engineering best practices.

You will work closely with development, QA, and business stakeholders to improve productivity, enable responsible AI adoption, and enable AI-enabled capabilities across the organization.