AI Engineering Manager

Confiz

1d

About The Position

We are seeking an exceptional AI Engineering Manager to join our team and drive the development of cutting-edge AI solutions that includes conversational, Agentic AI's The ideal candidate will have deep expertise in LLM technologies and a proven track record of delivering scalable AI solutions. What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun. People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves. To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/

Requirements

• Strong background in people and delivery management.
• 10+ years of experience is required.
• Exposure to AI projects like GenAI, voice Bot, AI agents etc.
• Solid knowledge in software engineering fundamentals.
• ROI thinking for AI solutions.
• Strong hands-on contribution in GenAI, voicebot, chatbot and agentic AI development.
• Understanding cloud platforms and familiarity in AI tools and terminologies like LLM's, RAG, prompt engineering, and coding language like Python.

Responsibilities

• Manage and grow team of AI Engineers and researchers.
• Help to hire and on-board skilled AI engineers and help for expanding the AI engineering team.
• Own and deliver the AI roadmap along with AI solution architect.
• Management of AI Engineering backlog and working closely with AI Solution Architect to plan and prioritize the backlog.
• Ownership of AI Delivery from Ideation till production.
• Management of stakeholders across the organization including Data governance, Security, and country business teams.
• document the engineering best practices.
• Running the daily/weekly/monthly delivery ceremonies including stand-ups.
• Partner with product managers to translate business requirements or problems into AI backlogs.
• Aligning with internal and external governance and regulations.
• Ensure high standards and quality in AI delivery and operations.
• Track progress of the team and AI solutions with right KPI's , metrics.
• Manage the expectations of AI delivery with stakeholders by clearly defining experiments, rollouts, and iterations of AI solutions.
• Adhere to AI delivery and development engineering lifecycle.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed