
Director, AI Forward Deployed Engineer
Posted Jun 20

Posted Jun 20
This is a fully remote position, open to applicants in United States.
β’ Take the lead in designing, developing, deploying, and supporting agentic AI solutions tailored for specific business use cases and workflows.
β’ Collaborate with business stakeholders, product teams, and domain experts to comprehend requirements and convert them into effective technical solutions.
β’ Manage daily engineering operations for AI initiatives that are forward deployed, including planning, prioritization, delivery, and readiness for operations.
β’ Ensure that AI solutions are scalable, reliable, maintainable, and conform to enterprise architecture, engineering standards, and governance regulations.
β’ Facilitate the integration of AI solutions with business systems, data sources, and operational processes to enable seamless end-to-end workflows.
β’ Track solution performance, user feedback, and operational results to identify improvements, address issues, and promote continuous enhancement.
β’ Work alongside platform, data, infrastructure, and security teams to utilize shared capabilities and ensure compliant, efficient deployment.
β’ Report progress, technical decisions, risks, and business impacts to senior leaders and cross-functional stakeholders.
β’ A Bachelor's degree is required, with a preference for an advanced degree, ideally in business, engineering, computer science, data science, or a related field.
β’ Over 8 years of experience in AI engineering, showcasing a strong history in leading product strategy, roadmap development, and delivery for complex digital, data, or AI-enabled products.
β’ Proven experience in AI and data-driven product environments, including the ability to translate business needs into scalable product solutions and closely partner with technical teams to introduce innovative products to the market.
β’ Strong leadership skills across multiple functions, with a demonstrated ability to collaborate effectively with Engineering, Innovation, Design, Data Science, Commercial, and other business teams to ensure alignment and execution.
β’ Experience in managing and mentoring product managers or junior product leaders, including providing coaching, support for prioritization, and promoting strong product management practices.
β’ Exceptional strategic, analytical, and communication skills, with the capability to assess opportunities, make informed trade-offs, and clearly articulate product vision, priorities, and outcomes.
β’ Health insurance
β’ Life and disability benefits
β’ 401(k) with company contribution and match
β’ Generous time off package including vacation, personal days, holidays, and other leaves
β’ Performance-based cash incentive
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