Principal AI/ML Engineer (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal AI/ML Engineer in the United States.

As a Principal AI/ML Engineer, you will lead the design, development, and deployment of advanced AI systems that power critical operational workflows. This role offers the opportunity to architect scalable AI infrastructure, implement multi-agent and multi-modal solutions, and mentor engineers to advance technical excellence. You will collaborate closely with cross-functional teams to translate complex requirements into production-ready AI systems capable of supporting large-scale, regulated, and offline-capable environments. By driving technical strategy and establishing engineering standards, you will play a key role in shaping the future of AI-powered operations and human-AI collaboration. This position emphasizes innovation, reliability, and impact in mission-critical applications.

Accountabilities:

·        Lead the design and implementation of enterprise-scale AI/ML systems that support complex operational workflows.

·        Architect AI infrastructure capable of multi-agent orchestration, multi-modal reasoning, and knowledge graph integration.

·        Translate operational needs into technical roadmaps and practical AI solutions.

·        Define system-level standards for model development, evaluation, and deployment, ensuring scalability and reliability.

·        Collaborate with infrastructure teams to build robust data pipelines that power AI applications.

·        Mentor senior and staff engineers, promoting best practices in AI/ML engineering and technical leadership.

·        Establish evaluation frameworks, SLOs, and monitoring practices for AI system performance and reliability.

·        M.S. in Computer Science, Engineering, or equivalent practical experience.

·        10+ years of experience designing and deploying large-scale, distributed AI/ML systems.

·        Proven experience integrating LLMs with retrieval systems and implementing real-world AI solutions at scale.

·        Strong understanding of AI system safety, model evaluation, red-teaming, and secure ML practices in regulated environments.

·        Experience with multi-modal AI, agent orchestration, and graph-based reasoning systems.

·        Familiarity with NLP techniques such as Named Entity Recognition (NER) and information retrieval methods.

·        Demonstrated ability to lead cross-functional technical initiatives and mentor engineering teams.

Preferred Qualifications:

·        Background in defense, national security, or other mission-critical domains.

·        Experience orchestrating systems that combine text, structured data, and domain-specific signals.

·        Strong track record of technical leadership in high-stakes, regulated environments.

·        Competitive salary range: $265,000 – $320,000 per year.

·        Equity opportunities for long-term growth and ownership.

·        Fully remote work within the United States.

·        Flexible work hours and supportive team environment.

·        Professional development and mentorship opportunities.

·        Health, dental, and vision coverage.

·        Paid time off and company holidays.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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