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Foundry
Director of AI Engineering
3 months ago | 225 views | Be the first one to apply

Director of AI Engineering

Full-time
Start-up
New York
Per year
$150,000 To $225,000

About the company

At Foundry, we’re not waiting for a decentralized financial future — we’re building it now. By empowering institutions with the tools they need to mine and stake digital assets, we’re thoughtfully driving the industry forward. Are you a driven blockchain enthusiast interested in joining our team? Check out our open roles. Also, if you have an interest in Foundry and a passion for our industry, but don't see a position that is a fit for you at this time, please submit your application to the General Interest and one of our recruiters will review your application.

Job Summary

WHAT YOU WILL DO:

📍Technical Leadership: 📍Provide vision and leadership for the AI engineering team, focusing on the development of Foundry’s AI Platform, ML platforms for predictive and generative AI, infrastructure, and incubation projects. 📍Drive technical excellence and innovation, promoting leading-edge AI and ML technologies and best practices. 📍Leverage Foundry’s SDLC to design and build high-quality software and relentlessly ship value. 📍Employ DORA team performance metrics to facilitate continuous improvement. 📍Experience building and scaling high-performing engineering teams 📍Strategic Vision: 📍Develop and execute a strategic roadmap for the AI Platform, ensuring alignment with company objectives and product group requirements. 📍Collaborate cross-functionally with product, design, and engineering teams to deliver world-class AI-powered experiences. 📍Engage in forward-looking planning, anticipating future technological needs and opportunities for innovation.Minimum Qualifications; Knowledge,

Skills and Abilities:

📍Bachelor's or advanced degree in Computer Science, Engineering, or related field. 📍5+ years of hands-on experience in AI/ML development. 📍5+ years of experience in a leadership or managerial role, overseeing and scaling engineering teams. 📍Proven track record of successfully bringing products to market. 📍Strong expertise in machine learning algorithms, natural language processing, and data analytics. 📍Exceptional problem-solving and strategic thinking skills. 📍Excellent communication and interpersonal skills. 📍Continuous learning mindset, adaptability to evolving technologies and a willingness to explore new methodologies and approaches to AI engineering.

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