Remote AI Deployment Lead – Production-Grade ML Systems

K2 Partnering Solutions

United States

Remote

USD 140,000 - 190,000

Full time

11 days ago

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Benefits offered by this job

Medical, dental, and vision benefits
401k with company match
Remote work

Job summary

K2 Partnering Solutions seeks a Technical Lead Developer, Forward Deployment Engineer for its AI & Data Labs. This remote, travel-heavy role partners with elite AI-native engineers to architect and deploy end-to-end AI systems, from problem framing to MVP to production.

Candidates should have seven+ years in secure data/AI software, cloud experience (Azure, AWS, GCP), and a proven ability to influence stakeholders and deliver production-ready solutions.

Qualifications

  • Seven+ years shipping end-to-end production secure software systems with data/AI focus.
  • Experience with cloud platforms such as Azure, GCP, or AWS.
  • Experience collaborating with stakeholders to make an outsized impact.
  • Demonstrated knowledge of AI technologies and methodologies; leadership in designing AI systems.

Responsibilities

  • Collaborate with AI-native engineers to build end-to-end AI systems from framing to MVP to production.
  • Establish best practices for context engineering, evaluation, and operational readiness; enforce rigorous testing.
  • Lead sessions with clients and executives; drive decisions and adoption of AI solutions.
  • Deliver in 2–6 week cycles with client feedback; ensure deliverables scale to production.

Skills

AI/ML
Cloud platforms
Leadership
Full-stack
Security
Testing
Portfolio/GitHub

Education

Bachelor's degree

Tools

GitHub

Job description

K2 Partnering Solutions seeks a Technical Lead Developer, Forward Deployment Engineer for its AI & Data Labs. This remote, travel-heavy role partners with elite AI-native engineers to architect and deploy end-to-end AI systems, from problem framing to MVP to production.

Candidates should have seven+ years in secure data/AI software, cloud experience (Azure, AWS, GCP), and a proven ability to influence stakeholders and deliver production-ready solutions.

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