Principal AI Architect

Principal AI Architect

Requirements

• 15+ years working as a Solutions Architect, Software Engineer, Data Scientist, or similarly technical field.
• Bachelor’s Degree or higher in computer science, engineering, or related fields.
• Demonstrated expertise in AI & ML frameworks, technologies, and development, especially as related to the Python ecosystem and public cloud infrastructure.
• A proven track record of collaborating on technical projects with cross-functional teams.
• Proven engineering leadership skills, including leading engineering teams and inspiring and motivating cross-functional teams towards a common goal.
• Strong problem-solving skills with the ability to craft innovative solutions, especially leveraging LLMs and other frontier technologies.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with diverse stakeholders and influence decision-making; adept at translating complex technical details to diverse audiences.
• Strong verbal and written communication skills in English. Proficiency in other languages is a plus.
• Strategic thinking and problem-solving abilities, with a focus on driving business outcomes and customer value.
• Project management skills, including experience with Agile methodologies and project management tools.

Responsibilities

• Provide technical guidance and insights to engineering teams throughout the product development lifecycle.
• Collaborate with solution architects, UX engineers, and developers to design new features and capabilities, provide estimates for development, build roadmaps, and participate in building AI capabilities that meet product goals and quality standards.
• Use your expertise in AI/ML to drive client-focused, hands-on solution design and coding efforts, ensuring we deliver impactful results when it matters most.
• Foster collaboration and communication between engineering, design, and stakeholders.
• Act as a bridge between technical and non-technical stakeholders to ensure a shared understanding of product priorities and objectives.
• Work closely with the Product Owner and other stakeholders to gather and document detailed product requirements, ensuring clarity and alignment across teams.
• Recommend and implement technical solutions, including data engineering pipelines, back-end technology, AI/ML models, and DevOps solutions, aligning them with business needs.
• Promote user and client adoption of our technical solutions, contributing to the market recognition of our innovative edge.
• Stay updated with the latest advancements in AI and related technologies, and bring emerging technologies and best practices to drive continuous improvement in AI-driven product development.
• Advocate for and promote technology innovation strategies within the organization, fostering a culture of hands-on innovation and technical excellence.

Preferred Qualifications

• Advanced certifications or publications in AI, deep learning, or related fields
• Applied AI/ML technology in business consulting fields
• Contributions to open-source projects or active involvement in tech communities or academia
• Demonstrated ability and enthusiasm to mentor and uplift junior team members or peers