Lead Artificial Intelligence/Machine Learning Engineer

Ciklum

$150K — $180K *
US-AnywhereRemote in United States
Healthcare
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of engineering experience in AI/ML or LLM systems production
  • 3+ years managing engineering teams focused on AI/ML
  • Experience managing a mix of contractors and full-time employees
  • Ability to competently review agent architectures and evaluation suites
  • Comfortable in a flat, fast-moving organization

Responsibilities

  • Manage a cross-functional team of engineers and delivery units
  • Establish and uphold engineering standards for code and agent quality
  • Oversee contractor performance and manage the contractor conversion pipeline
  • Collaborate with the platform lead to implement engineering templates
  • Facilitate daily unblockages to ensure continuous delivery without gatekeeping

Benefits

  • Collaborative work environment with industry professionals
  • Opportunities to work on impactful global projects
  • Access to tailored learning and professional growth resources
  • Internal mobility to explore diverse technology domains
  • Healthcare and insurance benefits as part of company plans
Full Job Description
Job Description

Lead Artificial Intelligence/Machine Learning Engineer to join our team full-time in the US .

About the role:

As a Lead Artificial Intelligence/Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.

Responsibilities:
  • Manage engineers across the central platform team and delivery pods (mix of contractors and internal engineers)
  • Own engineering standards: code and agent quality, review practices, definition of done, production readiness
  • Own contractor performance and the conversion pipeline with the sourcing partner
  • Partner with the platform lead on the paved path - templates, pipeline, evals - and make every pod use it
  • Unblock delivery daily; keep pods shipping without becoming a gatekeeper

Requirements:
  • 8+ years engineering, 3+ managing engineers who ship AI/ML or LLM systems in production
  • Has managed blended teams (contractors + employees) and held a quality bar across them
  • Hands-on enough to review agent architectures, prompts, and eval suites credibly
  • Operates in a flat, fast structure - player-coach comfortable, empire-averse

Desirable:
  • Healthcare or regulated-industry delivery; experience scaling a team from

What's in it for you?
  • Strong community: Work alongside top professionals in a friendly, open-door environment
  • Growth focus: Take on large-scale projects with a global impact and expand your expertise
  • Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
  • Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
  • Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company's Benefit Plans

Interested already? We would love to get to know you! Submit your application. We can't wait to see you at Ciklum.

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