AI Engineering & Enablement Lead
Confirmed on the employer's own hiring board on Nov 7, 2026. First seen by Alion on Aug 20, 2026. Contour Software scores B on the Alion truth index.
About Contour
Contour Software has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.
As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.
What started as an R&D & Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore & Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!
Position Summary
As an AI Engineering and Enablement Lead, you will drive AI adoption across software development, quality engineering, and related business functions by helping teams design, implement, and scale practical AI solutions. You will play a key role in advancing AI-enabled software delivery, establishing engineering best practices, and enabling business units to realize measurable value from AI technologies.
The role combines hands-on AI engineering leadership, solution design, AI-SDLC enablement, and capability building. You will work closely with development, QA, and business stakeholders to help embed AI into day-to-day workflows, improve engineering productivity, and accelerate innovation.
Key Responsibilities
AI Engineering & Solution Development
- Participate in design and lead implementation of AI-powered solutions using modern AI platforms, large language models, agentic AI, workflow automation, and related technologies.
- Develop reference architectures, reusable frameworks, and engineering standards for AI initiatives.
- Evaluate emerging AI tools, platforms, and technologies for practical enterprise adoption.
- Guide teams in building scalable, secure, and maintainable AI solutions.
AI-Enabled Software Development Lifecycle (AI-DLC)
- Drive adoption of AI-enabled engineering practices across development and QA teams throughout the development lifecycle.
- Promote effective use of modern AI development tools such as Cursor, Claude Code, GitHub Copilot, and related technologies.
- Enable AI-driven approaches for code generation, testing, debugging, documentation, analysis, refactoring, and deployment activities.
- Establish engineering guardrails, standards, and best practices for responsible AI adoption.
- Help teams measure and improve productivity through AI-enabled workflows.
AI Enablement
- Identify opportunities where AI can improve delivery efficiency, quality, and business outcomes.
- Act as an enabler for R&D teams to adopt AI solutions in a practical, governed, and outcome-focused manner.
- Design and support successful implementation of AI enablement programs.
Capability Building & Knowledge Sharing
- Support AI-focused training and workshops to build practical adoption capabilities across teams.
- Share best practices, lessons learned, and successful adoption patterns across teams.
- Create implementation guidance, technical playbooks, and knowledge assets for AI engineering.
- Promote a culture of experimentation, learning, and continuous improvement.
Technical Leadership
- Provide technical leadership and mentorship to development and QA teams adopting AI technologies.
- Collaborate with engineering leaders to define AI roadmaps and priorities.
- Support solution planning and technical decision-making for strategic AI initiatives.
Success Metrics
- Successful adoption of AI-DLC practices across development and QA teams.
- Delivery of production-ready AI solutions that create measurable business value.
- Increased engineering productivity and quality through AI-enabled workflows.
- Successful execution of AI initiatives across business units.
- Establishment of reusable AI frameworks, standards, and best practices.
- Growth in organizational AI capability and adoption maturity.
Exciting Benefits we offer:
- Market-leading Salary
- Medical Coverage - Self & Dependents
- Parents Medical Coverage
- Provident Fund
- Employee Performance-based bonuses
- Home Internet Subsidy
- Conveyance Allowance
- Profit Sharing Plan [Tenured Employees Only]
- Life Benefit
- Child Care Facility
- Company Provided Lunch/Dinner
- Professional Development Budget
- Recreational area for in-house games
- Sporadic On-shore training opportunities
- Friendly work environment
- Leave Encashment
Disclaimer: At Contour, we attribute our success to the unique contributions of our diverse staff. We’re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we’ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.
In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.