Principal Architect, AI/ML [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 Architect, AI/ML based in the United States.

This is a senior technical leadership role at the forefront of enterprise AI transformation, where you will design and guide the implementation of advanced machine learning and generative AI systems for complex, real-world business use cases. You will act as a trusted advisor to clients, shaping architecture decisions that span model training, optimization, deployment, and large-scale production serving. The role requires deep expertise in modern AI/ML systems, combined with the ability to translate technical complexity into clear business value. You will work closely with engineering, cloud, and data teams to build secure, scalable, and privacy-conscious AI solutions. A key part of the role involves helping organizations adopt agentic systems and LLM-powered architectures in a cost-efficient and responsible way. This is a highly influential position that blends hands-on architecture, client-facing leadership, and thought leadership in a rapidly evolving AI landscape.

Accountabilities:

• Serve as the senior technical authority on AI/ML architecture, guiding the design and implementation of advanced machine learning and generative AI systems.
• Lead pre-sales and solution design efforts, partnering with business development teams to scope opportunities and present technical solutions to clients.
• Architect end-to-end AI systems, including model training, fine-tuning, optimization, deployment, and production-scale serving.
• Design secure, privacy-compliant, and data-sovereign AI solutions aligned with regulatory requirements such as GDPR.
• Guide the selection and application of cloud-native technologies, with emphasis on Google Cloud and large-scale AI infrastructure.
• Lead the design of agentic systems and workflows using modern frameworks such as LangGraph, LangChain, and similar tooling.
• Optimize model performance and cost efficiency through techniques such as quantization, pruning, and advanced serving strategies.
• Collaborate with cloud and data architects to ensure cohesive, scalable end-to-end solutions for enterprise clients.
• Provide technical mentorship to internal teams and clients, establishing best practices in high-performance AI engineering.
• Act as a thought leader through external contributions such as technical writing, presentations, and industry engagement.

Requirements:

• Master’s degree in Computer Science, Mathematics, Engineering, or a related technical field, or equivalent practical experience.
• Extensive experience in senior or principal architecture roles delivering production-grade AI/ML systems at scale.
• Strong hands-on experience with at least one major cloud platform (Google Cloud strongly preferred; AWS or Azure acceptable).
• Deep expertise in LLM optimization techniques including fine-tuning (e.g., LoRA), quantization, and efficient inference (e.g., vLLM, TensorRT-LLM).
• Experience with modern ML frameworks such as PyTorch, JAX, or PyTorch/XLA for training and deployment.
• Proven ability to design and implement agentic AI systems using frameworks like LangChain, LangGraph, or similar tools.
• Strong understanding of secure, private, and data-sovereign AI architecture patterns.
• Familiarity with observability and evaluation tools for LLM systems (e.g., LangSmith, Langfuse, Vertex AI Evaluation).
• Excellent communication and stakeholder management skills, with the ability to translate technical depth into business impact.
• Passion for mentoring, innovation, and staying at the forefront of AI/ML advancements.

Benefits:

• Competitive compensation aligned with senior principal-level AI/ML architecture roles.
• Fully remote work environment within the United States.
• Opportunity to lead cutting-edge AI transformation projects for enterprise clients.
• High-impact role with significant technical ownership and client influence.
• Exposure to advanced AI systems, including LLMs, agentic frameworks, and hyperscaler cloud platforms.
• Strong emphasis on professional growth, thought leadership, and technical excellence.
• Inclusive and collaborative culture supporting continuous learning and innovation.

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.