AI Deployment Lead

Role Overview

AI Deployment Lead at Brain Co., based in Abu Dhabi and Doha. You will work at the intersection of AI product delivery and customer engagement, helping define, shape, and drive AI-powered solutions that address mission-critical challenges in finance, energy, and government sectors.

Company Overview

Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. The proprietary platform, Atlas, keeps customers in control, secure by design, and never locked into one model. Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.

Role Purpose

You will work alongside data scientists, engineers, and senior stakeholders to translate complex business needs into actionable technical solutions. As the voice of the customer, you will lead agile delivery cycles, ensure high-quality outcomes, and foster long-term relationships built on trust and impact.

Key Responsibilities

Feature Definition & Prioritization

• Define and prioritize high-impact features by working with customers to identify problems.
• Translate customer requirements into clear technical specifications and use cases for internal teams.

Solution Delivery

• Lead agile sprints and project timelines to ensure timely and high-quality solution delivery.
• Oversee agile product and project delivery cycles.

Customer Engagement & Adoption

• Travel regionally to engage with users, onboard stakeholders, and gather direct product feedback for continuous improvement.
• Drive adoption of deployed solutions across customer organizations.
• Act as customer champion and build trusted relationships with enterprise customers and senior stakeholders.

Cross-Functional Collaboration

• Serve as the bridge between customers and internal teams including data scientists, engineers, and product leads.
• Collaborate closely with data scientists, engineers, and senior stakeholders to translate complex business needs into technical solutions.
• Ensure the long-term success of deployed solutions.

Qualifications & Experience

• 3–5 years in customer success, product management, delivery consulting, or technical account management.
• Experience at top-tier product or consulting organizations such as Palantir, Google, Amazon, BCG, or McKinsey.

Skills & Competencies

• Strong understanding of AI/ML concepts, data workflows, and model deployment processes.
• Ability to discuss and assess technical trade-offs with engineering teams.
• Proven ability to build rapport and trust with enterprise customers and senior stakeholders.
• Excellent written and verbal communication, including the ability to simplify technical details for non-technical audiences.
• Hands-on mindset with a bias for action and a strong sense of ownership.

Additional Information

• Willingness to travel within the region to meet customers and oversee deployments on-site.
• Work on transformative AI projects with high-impact clients.
• Join a collaborative, mission-driven team at the forefront of applied machine learning.
• Operate in a fast-paced, agile environment with real-world outcomes.