Arize AI logo
Arize AI

Arize AI is a machine learning observability platform for ML practitioners to detect and troubleshoot model issues

AI Solutions Engineer

Solutions EngineerSolutions EngineerFull TimeRemoteSeniorTeam 51-200Since 2019H1B SponsorCompany SiteLinkedIn

Location

California + 1 moreAll locations: California | New York

Posted

51 days ago

Salary

$125K - $175K / year

Seniority

Senior

Job Description

AI Solutions Engineer

Arize AI

• Work closely with some of the most sophisticated ML / GenAI teams in the world. • You will act as a trusted advisor to our customers, while also building relationships with technical and business stakeholders. • Advise on GenAI and ML best practices • Give ML and LLM product demos to technical and business stakeholders • Run strategic business reviews for customers in partnership with our sales team • Interface with our pre-sales engineering team to gather client goals and KPI’s. • Partner with our product and engineering teams to help drive the product roadmap • Spearhead new opportunities within existing accounts to help drive expansions.

Job Requirements

  • Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models or GenAI applications in production.
  • Comfortable working in public Cloud environments (AWS, Azure, GCP)
  • Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
  • Knowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPy
  • Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations
  • Understanding of GenAI concepts and application evaluation + development lifecycle
  • Proficiency in a programming language (Python, JS/TS, Java, Go, etc)
  • Strong Communication Skills - Ability to simplify complex, technical concepts.
  • A quick and self learner - undaunted by technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV.

Benefits

  • medical
  • dental
  • vision
  • 401(k) plan
  • unlimited paid time off
  • generous parental leave plan
  • others for mental and wellness support

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