Senior Director – AI Engineering

🕒 Maio 19

🏄 California – Remoto

🏄 California – Remote

💵 $192.500 - $302.500 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

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FICO

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1956

💸 Finanças

🤖 Inteligência Artificial

☁️ SaaS

Finance • Artificial Intelligence • SaaS

FICO é uma empresa líder em analytics e software, reconhecida pelo FICO® Score, uma ferramenta amplamente utilizada por credores para avaliar o risco de crédito. A empresa oferece uma plataforma abrangente que aproveita dados, IA e machine learning para impulsionar a tomada de decisões inteligentes e o engajamento de clientes em diversos setores. As soluções da FICO abrangem detecção de fraudes, credit scoring e gestão do ciclo de vida do cliente, tornando-a vital para segmentos como serviços financeiros e telecomunicações. Seus produtos inovadores ajudam as empresas a otimizar resultados por meio de analytics em tempo real, composabilidade de negócios e gestão de cenários.

Descrição

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

🎯 Requisitos

• 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 track 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 command of backtesting, A/B testing, and drift 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 scalable, 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 align engineering efforts to broader business goals. • Thought leadership in AI and machine learning — through publications, patents, or open-source contributions — is a plus. • 10–15 years of industry experience in software, machine learning, or data engineering, with a demonstrated history of leading complex, large-scale projects and applying LLMs to solve real-world challenges. • Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.

🏖️ Benefícios

• Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. • An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others. • The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences. • An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.