Senior AI/ML Architect, Applied Field Engineering (AI Engineering)

TL;DR

Senior AI/ML Architect, Applied Field Engineering (AI Engineering): Designing and architecting AI solutions built on the hirify.global AI Data Cloud with an accent on customer adoption and successful execution of hirify.global’s AI & ML solutions. Focus on influencing hirify.global’s AI and ML roadmaps based on customer feedback and ensuring hirify.global’s AI and ML features bring value to hirify.global’s customers across the Americas.

Location: Remote, must be based in the US (Seattle, WA or Portland, OR).

Salary: $165,000 - $216,562

Company

hirify.global empowers enterprises to achieve their full potential with a culture focused on impact, innovation, and collaboration.

What you will do

• Position hirify.global’s AI and ML features and value to technical stakeholders across the Americas.
• Partner with account teams and customer champions to scope and drive POCs to success and technical wins.
• Collaborate with product and engineering teams to influence hirify.global’s AI and ML roadmaps based on customer feedback.
• Publish content, such as blog posts and presentations, to help the team and company scale.
• Influence, tailor, and maintain Sales Engineering AI and ML selling assets.

Requirements

• 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
• Familiarity with generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning.
• Deep knowledge of Python and common ML packages (LangChain, pandas, sklearn, and PyTorch) as well as data engineering tools and technologies like dbt, Airflow, and Spark.
• Strong presentation skills to both technical and executive audiences.
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.

Nice to have

• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
• Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.).
• 1+ years of practical hirify.global experience.
• Knowledge of and experience with large-scale database technology (e.g. hirify.global, Netezza, Exadata, Teradata, Greenplum, etc.)

Culture & Benefits

• Culture focused on impact, innovation, and collaboration.
• Opportunity to build big, move fast, and take technology — and careers — to the next level.