Senior AI Architect

About the role

We’re looking for a Senior AI Engineer who has spent the last 2+ years building real AI products at the frontier. This role is ideal for candidates with experience at a frontier AI company, top research lab, or PhD-level background who want their work to directly shape product and user experience.

Responsibilities

• Own and deliver AI-driven product features end-to-end, from problem definition to production rollout
• Design AI systems that are deeply grounded in company data, using large-scale datasets to create rich context for models
• Partner with data engineering and analytics teams to:
• Leverage data warehouses and lake house architectures (e.g., Snowflake, BigQuery, Redshift, Databricks)
• Define data models and pipelines that power AI use cases
• Apply data science best practices to understand user behavior, system performance, and model impact
• Build and maintain data-driven context layers for AI systems, such as:
• Retrieval and ranking pipelines
• Feature stores or embedding indices
• Aggregations and transformations over large datasets
• Translate raw, messy, large-scale data into clean, structured inputs that improve model quality and reliability
• Define evaluation, monitoring, and feedback loops using both offline analysis and production metrics
• Collaborate closely with product managers to align AI capabilities with user needs and business goals
• Iterate quickly: ship, measure impact, refine models and data pipelines, and repeat

Requirements

• 5+ years of related professional experience in software engineering, machine learning, data science, or closely related technical roles
• At least 2+ years of recent, hands-on experience working deeply in modern AI
• One or more of the following backgrounds:
• Senior-level engineer or applied scientist at a frontier AI company
• PhD in Machine Learning, AI, Computer Science, or a closely related field
• Experience in a top academic or industrial AI lab, combined with strong product execution
• Strong experience applying modern deep learning techniques (e.g., transformer-based models) to real-world problems
• Proven ability to ship AI-powered features to production and maintain them over time
• Excellent programming skills in Python, with experience in production ML frameworks (e.g., PyTorch, JAX)
• Ability to independently scope ambiguous problems and deliver end-to-end AI solutions in collaboration with product and engineering teams

Preferred Qualifications

• Publishations at top venues (e.g., NeurIPS, ICML, ICLR, ACL, CVPR), or equivalent industry impact
• Experience fine-tuning, aligning, or evaluating large models (e.g., RLHF, preference modeling, eval harnesses)
• Ability to reason deeply about model behavior, failure modes, and scaling tradeoffs

What Success Looks Like

• You can own ambiguous, high-stakes AI problems end-to-end
• You are comfortable operating where research meets production
• You bring strong technical judgment on what actually works in practice, not just in papers
• You raise the bar for AI rigor, speed, and quality across the team
• You help define what's next, not just execute what's known

Why Join Nexxa.AI?

• Innovative Environment: Play a critical role in transforming heavy industries through groundbreaking AI and automation technologies
• Collaborative Culture: Be part of a team that values innovation, discipline, and continuous improvement
• Professional Growth: Benefit from significant opportunities for career development and advancement
• Competitive Compensation: Enjoy a comprehensive salary and equity package reflective of your expertise and contributions