Industrial AI Deployment Architect

Avathon

Pleasanton (CA)

On-site

USD 130,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Equity in the form of stock options
Comprehensive health, dental, and vision coverage
401(k) participation
Generous PTO and company holidays
Ongoing learning and development opportunities

Job summary

Avathon is seeking a Forward Deployed AI Engineer to deliver high-stakes deployments and design production-grade AI applications in Pleasanton, California. The role involves directly working with operators to solve complex operational problems and requires strong AI/ML experience, programming skills, and a STEM degree. Offering competitive salary range of $130,000 to $180,000 along with equity and benefits. Ideal candidates value real-world application and problem-solving in the field, with the possibility of up to 50% travel.

Qualifications

  • Experience building AI/ML applications in production.
  • Strong foundation in machine learning, optimization, and system design.
  • Excellent problem-solving, critical thinking, and communication skills.

Responsibilities

  • Own end-to-end delivery of high-stakes deployments in operational environments.
  • Design and implement Avathon’s Computational Knowledge Graph (CKG).
  • Work side-by-side with operators and stakeholders to define problems.

Skills

Building AI/ML applications
Machine learning
Optimization
System design
Programming languages (Python, Java, C++, etc.)
Problem-solving

Education

Master’s or Bachelor’s degree in science, technology, engineering

Job description

Avathon is seeking a Forward Deployed AI Engineer to deliver high-stakes deployments and design production-grade AI applications in Pleasanton, California. The role involves directly working with operators to solve complex operational problems and requires strong AI/ML experience, programming skills, and a STEM degree. Offering competitive salary range of $130,000 to $180,000 along with equity and benefits. Ideal candidates value real-world application and problem-solving in the field, with the possibility of up to 50% travel.
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