Nexxa.ai

Senior AI Architect

Nexxa.ai

full-time

Posted on:

Location Type: Hybrid

Location: Sunnyvale • California • United States

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Job Level

Senior

Tech Stack

Amazon RedshiftBigQueryPythonPyTorch

About the role

  • 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

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
  • 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.
Benefits
  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningdeep learningdata modelingdata pipelinesAI systems designprogramming in Pythontransformer-based modelsdata science best practicesproduction ML frameworksdata aggregation
Soft Skills
problem definitioncollaborationindependent problem solvingiterationcommunicationproduct alignmentpragmatic decision makinguser behavior understandingsystem performance analysismodel impact assessment
Certifications
PhD in Machine LearningPhD in AIPhD in Computer Science