Forward Deployed Engineer (Life Sciences)

TL;DR

Forward Deployed Engineer (Life Sciences): Building and deploying production-grade AI solutions within highly regulated customer environments with an accent on MLOps, cloud infrastructure, and custom data integrations. Focus on solving complex technical challenges, navigating strict security constraints, and serving as a trusted advisor to pharmaceutical and life sciences leaders.

Location: Remote (US)

Company

hirify.global provides a comprehensive AI business solutions platform that helps large organizations build and operate advanced data science and AI solutions at scale.

What you will do

• Embed within customer environments to build and ship production-grade AI workflows.
• Develop specialized AI inferencing workflows, custom cloud integrations, and interactive applications.
• Manage the full MLOps lifecycle including development, deployment, and monitoring.
• Advise data science teams on platform best practices and technical solutioning.
• Author reusable playbooks, integration templates, and deployment guides.
• Translate field intelligence into product feedback to shape the platform roadmap.

Requirements

• Must be based in the US
• Strong proficiency in Python, with familiarity in SQL, R, and Bash.
• Experience with Kubernetes, Docker, and cloud architecture (AWS, Azure, or GCP).
• Proven track record of delivering machine learning workflows and GPU workloads.
• Experience operating within highly regulated or constrained environments.
• Exceptional communication skills for both technical and business audiences.

Culture & Benefits

• Growth-oriented environment emphasizing teaching and learning.
• Opportunity to work with Fortune 100 pharmaceutical and life sciences leaders.
• Collaborative team culture that values diversity and transparency.
• Focus on solving high-impact, real-world challenges in AI.