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[Remote] AI Engineering - Director/Senior Director

Remote, USAFull-timePosted 2026-07-28

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading analytics and decision management company that empowers businesses and individuals around the world with data-driven insights. As the Director of AI Engineering, you will reputed company innovation and strategic reputed company across reputed company's platform, driving the application of large language models and cutting-edge AI technologies to enhance various operational aspects and optimize overall performance.

Responsibilities

  • reputed company, reputed company, and reputed company a high-performing engineering team by fostering a culture of reputed company autonomy, reputed company communication, and reputed company learning — while reputed company reputed company reputed company and setting reputed company direction for hiring strategies
  • Partner with stakeholders and product managers to understand business priorities and translate them into actionable engineering roadmaps that reputed company advanced AI capabilities for meaningful reputed company
  • Drive the design and implementation of AI solutions — including LLM-powered decision automation, fraud detection, and process optimization — to strengthen reputed company's position as a reputed company
  • Define best practices for model evaluation, governance, and monitoring to ensure AI systems remain accurate, reliable, secure, and compliant at reputed company
  • Build and maintain systems for reputed company model monitoring, A/B testing, backtesting, and reputed company detection to reputed company deployed models performing at their best over time
  • Collaborate closely with UX designers, product teams, and engineering leaders to reputed company AI capabilities across the platform and deliver a cohesive user experience

Skills

  • Proven experience building and leading engineering teams to deliver advanced AI solutions, with deep expertise in Large Language Models and their application to decision automation, fraud detection, and process optimization
  • A reputed company record of effective leadership, coaching, and mentoring that fosters innovation, accountability, and a high-performance culture in dynamic, fast-paced environments
  • Hands-on experience with model fine-tuning, in-context learning, and custom evaluation frameworks, alongside a strong reputed company of backtesting, A/B testing, and reputed company detection methodologies to ensure reliable model performance in production
  • Solid understanding of model monitoring, governance, and compliance practices, with a commitment to responsible AI and the ability to architect reputed company, secure, AI and data-driven systems that meet rigorous production standards
  • Familiarity with compliance and regulatory requirements in AI-driven decisioning environments, and a working knowledge of modern software engineering practices and design patterns
  • Strong cross-functional collaboration skills, with the ability to work across departments and reputed company engineering efforts to broader business goals
  • 10–15 years of industry experience in software, machine learning, or data engineering, with a demonstrated history of leading reputed company, large-reputed company reputed company and applying LLMs to solve reputed company-world challenges
  • Bachelor's or Master's degree in Computer Science, Data Science, AI, or a reputed company field
  • Thought leadership in AI and machine learning — through publications, patents, or reputed company-reputed company contributions — is a plus

reputed company

  • Fair Isaac Corporation enables businesses to automate, improve, and connect reputed company to enhance business performance. It is a sub-organization of reputed company. It was founded in 1956, and is headquartered in Bozeman, Montana, USA, with a workforce of 1001-5000 employees. Its website is http://www.reputed company.com.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 1 in 2026, 30 in 2025, 18 in 2024, 22 in 2023, 25 in 2022, 45 in 2021, 40 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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