AI Team Lead / Manager

Lucidya is a leading AI company in the region, building intelligent solutions that power the next generation of customer experience. As we expand into a new AI-focused business line, we are searching for a visionary AI Team Lead / AI Technical Manager to spearhead the development of our next flagship product: a fully scalable AI Agent platform built from the ground up. This is a rare opportunity for a builder - someone who thrives in zero-to-one environments, loves ambiguity, and wants to create something meaningful that will shape the future of AI-driven customer service in the Middle East.

Role Overview

As the AI Team Lead / AI Technical Manager, you will drive the vision, architecture, and execution of our AI Agent initiatives while mentoring a talented team of engineers. You’ll play a pivotal role in shaping an entirely new line of business, working closely with senior leadership — including the CEO, CTO, and General Manager — to turn innovative concepts into scalable, revenue-generating AI solutions. If you enjoy starting from scratch, making sense of ambiguity, and turning ideas into high‑impact products, this role is for you.

What You’ll Do

• Own the Vision & Delivery
• Lead the design, development, and deployment of a brand‑new AI Agent platform with a strong focus on customer service use cases.
• Build a product that can scale to multiple enterprise clients, meeting aggressive growth metrics (targeting ~$1M ARR by year-end).
• Manage multiple client engagements at the same time, ensuring successful delivery.
• Manage and grow the AI infrastructure for scale and performance.
• Lead & Grow a High‑Performing AI Team.
• Manage and mentor a team of AI/ML engineers (starting with 3 and growing).
• Establish strong practices, structure workflows, and remove blockers to keep momentum high.
• Help build and maintain reusable AI services to speed up high‑quality development.
• Drive Strategy & Stakeholder Alignment.
• Work directly with the GM of the business unit and the Senior Director of AI to align on priorities and deliverables.
• Communicate complex AI concepts clearly to non‑technical stakeholders and executive leadership.
• Push back when needed and influence decisions through data, clarity, and strategic thinking.
• Bring Order to Ambiguity.
• Thrive in a fast‑moving, fragmented early‑stage environment by creating structure, processes, and reliable rhythms of execution.
• Help define how the team collaborates, plans, and delivers high‑quality releases.

What Success Looks Like

Within your first 90-120 days, you will:

• Develop a clear scaling plan for our AI Agents.
• Get hands dirty by working with the team on delivering AI Agents for our customers.
• Establish operating rhythms, processes, and collaboration models across engineering, product, and leadership.
• Gain a strong understanding of the local business environment and adapt effectively to regional culture.

What We’re Looking For

Non‑Negotiables

• Outstanding communication skills – able to simplify complex concepts effortlessly.
• Proven ability to thrive in fast‑paced, ambiguous environments.
• Calm under pressure, with a proactive, problem‑solving mindset.
• Strong stakeholder management; confident guiding and influencing senior leaders.
• Hands‑on experience building AI Agents and understanding their technical realities (strengths, pitfalls, constraints).
• Ability to build from 0 to 1.

Why Join Us?

This is more than just an engineering role – it’s an opportunity to shape the technical future of Lucidya and its customers. You’ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond. We offer Employee Stock Option Plans (ESOP) to give you ownership in the company’s success, along with performance‑based bonuses to reward your impact and dedication. As part of a fast‑growing team, you’ll have the autonomy to lead, innovate, and grow – both personally and professionally.

Experience & Qualifications

• 6+ years in AI/ML engineering, with at least 3 years leading teams.
• Strong practical experience designing, training, deploying, and evaluating LLM‑based systems.
• Expertise in Python and modern ML frameworks (TensorFlow, PyTorch).
• Familiarity with MLOps pipelines, LLM evaluation, and production AI systems.
• Experience with AWS, GCP, or similar cloud environments.
• SaaS experience (especially customer service AI) is highly preferred.
• Bachelor’s or Master’s degree in Computer Science, AI, ML, or related fields, though exceptional hands‑on experience is more important.

Soft Skills

• Exceptional leadership and mentoring capabilities.
• Strategic thinker with strong analytical and problem‑solving skills.
• Comfortable providing clarity, direction, and momentum in uncertain environments.
• Excellent cross‑functional collaboration skills.

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