Principal AI Engineer [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal AI Engineer based in United States.

This is a senior-level technical leadership role responsible for defining and advancing the architecture of production-grade AI systems at scale. You will operate at the intersection of machine learning engineering, distributed systems, and applied AI, shaping how intelligent systems are designed, built, and deployed across real-world enterprise use cases. The role requires deep hands-on expertise in AI/ML as well as the ability to set technical direction across teams and influence strategic decisions at the organizational level. You will work in a fast-moving environment where AI systems are shipped quickly, iterated continuously, and expected to deliver measurable business impact. This position combines architectural ownership, system design excellence, and leadership in modern LLM-driven engineering practices. It is ideal for someone who thrives in high-autonomy environments and enjoys solving complex, end-to-end technical challenges.

Accountabilities:

• Define and lead the AI system architecture and technical strategy across the full lifecycle, from design through production deployment.
• Design and build scalable ML platforms, pipelines, and event-driven systems supporting distributed and asynchronous workloads.
• Architect and implement LLM-based systems including RAG pipelines, embeddings, vector databases, prompt engineering, and multi-agent orchestration.
• Develop and maintain backend services and APIs that integrate AI capabilities into enterprise and third-party systems.
• Lead model development, optimization, and productionization of AI solutions, ensuring reliability and scalability in real-world environments.
• Establish engineering standards and best practices for AI development, MLOps, monitoring, and system observability.
• Ensure system performance, security, and governance across all deployed AI solutions.
• Collaborate with product, engineering, and leadership teams to align AI initiatives with business priorities and roadmap execution.
• Mentor engineers and influence technical culture across teams, raising the overall bar for AI engineering excellence.

Requirements:

• 7+ years of experience in AI/ML engineering with strong production-level experience.
• Advanced proficiency in Python and strong software engineering fundamentals, including system and API design.
• Deep experience with distributed systems, event-driven architectures, and cloud-native engineering patterns.
• Strong hands-on expertise with LLM systems including prompt engineering, tool/function calling, RAG architectures, embeddings, vector databases, and multi-agent systems.
• Proven experience building and operating MLOps pipelines, including deployment, monitoring, versioning, and reproducibility.
• Strong experience with AWS, including GenAI services such as AWS Bedrock, and familiarity with other cloud platforms.
• Experience working with both SQL and NoSQL databases and designing scalable data architectures.
• Familiarity with containerization technologies such as Docker and modern CI/CD practices.
• Strong communication skills with the ability to translate complex AI concepts into business and technical decisions.
• Experience integrating AI systems with enterprise tools, APIs, or workflow platforms (e.g., ServiceNow, Jira).
• Exposure to AI governance, security, and compliance considerations in production environments.

Benefits:

• Competitive compensation aligned with senior AI engineering leadership roles
• Fully remote work within the United States
• Opportunity to shape cutting-edge AI systems used in real-world enterprise environments
• High-impact technical ownership with direct influence on AI strategy and architecture
• Exposure to advanced LLM, agentic AI, and cloud-native AI engineering practices
• Strong engineering culture focused on craftsmanship, speed, and innovation
• Collaborative environment with technical leadership visibility
• Professional growth opportunities in a rapidly evolving AI-first organization

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.