Senior AI Architect

Nexxa.ai http://Nexxa.ai is building artificial super intelligence for heavy industries — enabling machines, systems and operations to think, decide and act autonomously across manufacturing, large-scale infrastructure, logistics and legacy environments.

Our mission is to translate deep technical breakthroughs into operational reality, solving some of the hardest systems-level problems in industry.

Job Title: Senior AI Architect Location: Sunnyvale / SF, CA (Hybrid) Level: Senior – Architect (based on experience)

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—someone who understands modern AI deeply and has turned that understanding into production systems used by customers.

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 rather than remain purely research‑driven.

You will own AI‑powered features end‑to‑end, working closely with product and engineering to bring cutting‑edge models into reliable, scalable, and user‑facing systems.

What You’ll Do

• 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
• Make pragmatic tradeoffs across data freshness, model performance, latency, and cost
• 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

Required Qualifications

• 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
• AI must be a primary responsibility, not a side project or minor component of the role
• 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

• Publications 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 http://nexxa.aiNexxa.AI http://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.

If you're passionate about development and eager to shape the infrastructure powering advanced AI solutions, we'd love to connect.