AI Deployment Lead - Financial Services

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

AI Deployment Lead - Financial Services Abu Dhabi, United Arab Emirates, Doha About Brain Co. Brain Co. is at the leading edge of productionizing artificial intelligence for real world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real world problems across financial services, private equity, governments, and other sectors where manual work is still dominant. About the Role We're growing our AI Deployment team in Abu Dhabi and Doha, with a dedicated focus on financial services and private equity clients. In this role, you'll work at the intersection of AI product delivery and customer engagement, helping define, shape, and drive AI-powered solutions for banks, asset managers, sovereign wealth funds, private equity sponsors, and their portfolio companies. You'll collaborate closely with data scientists, engineers, investment professionals, and senior stakeholders to translate complex financial and commercial needs into actionable technical solutions. As the voice of the customer, you'll lead agile delivery cycles, contribute to value creation across sponsor-backed assets, and foster long-term relationships built on trust and measurable impact. Key Responsibilities - Define & Prioritize Features: Partner with financial services clients and PE sponsors to identify high-impact problems across the investment lifecycle (diligence, portfolio operations, risk, and reporting) and define AI-driven product features to address them. - Translate Business Needs: Convert customer requirements, investment theses, and operational pain points into clear technical specifications and use cases for internal data science and engineering teams. -

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