Professional Head of AI Engineering services focused on architecting high-availability machine learning pipelines and governing generative AI deployments at scale. Whether acting as your interim VP AI Engineering or providing fractional Director AI Engineering oversight, we bridge the gap between experimental research and production-grade reliability, ensuring every model serves a quantifiable business objective with sub-millisecond latency.
In a world saturated with AI “wrappers,” Sabalynx stands apart by building deep-tech solutions. You aren’t just managing developers; you are architecting the foundational systems that drive 20+ industries.
The Head of AI Engineering at Sabalynx is a dual-threat role requiring elite technical proficiency and strategic business acumen. You will report directly to the CTO, managing a multi-disciplinary team of ML Engineers, Data Scientists, and MLOps Specialists across four continents. Your primary objective is to ensure that every Sabalynx deployment is scalable, secure, and generates the quantifiable ROI our clients demand.
You will oversee the lifecycle of AI products from first-principles architectural design through to high-availability production monitoring. This is not a “maintenance” role; it is a high-velocity leadership position where you will define the standards for enterprise-grade Agentic AI, RAG pipelines, and fine-tuned LLM clusters.
Define and enforce technical standards for multi-tenant AI architectures, ensuring consistency across high-scale RAG systems, vector database orchestration, and API integrations.
Lead, mentor, and expand a global team of 40+ top-tier AI engineers. Foster a culture of technical excellence, continuous learning, and rapid delivery cycles.
Own the end-to-end CI/CD/CT (Continuous Testing) pipelines. Optimize inference latency, maximize GPU utilization, and implement robust model monitoring frameworks.
Implement “Security by Design” for all AI deployments. Ensure strict adherence to GDPR, HIPAA, and emerging AI safety regulations while mitigating model hallucinations and bias.
Collaborate with Product and Strategy leads to translate complex client business requirements into executable technical roadmaps and resource allocations.
Direct the development of autonomous multi-agent systems, focusing on orchestration protocols, tool-use optimization, and feedback-loop integration.
Manage token budgets and compute costs. Lead initiatives in model distillation, quantization, and hybrid cloud/on-premise deployment strategies to maximize client ROI.
Act as the senior technical authority in high-stakes client meetings, communicating complex architectural decisions to C-suite executives and technical stakeholders.
We reward world-class talent with world-class environments.
Your work will directly influence the AI strategy of some of the world’s largest companies and most critical sectors.
We operate as a global-first company. Work from anywhere, provided you can lead your team effectively.
Highly competitive base salary + performance bonuses + significant equity in a rapidly scaling AI powerhouse.
Sabalynx is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
We are always looking for senior AI Engineers, MLOps Specialists, and Data Architects. Explore all open roles at Sabalynx Careers.
Sabalynx is not a “wrapper” company. We are a fundamental technology consultancy building the next generation of autonomous enterprise infrastructure.
At Sabalynx, we operate at the intersection of high-concurrency distributed systems and non-deterministic AI models.
Working here as an AI Engineer or Leader means navigating the complexities of production-grade MLOps, vector database optimization, and the orchestration of agentic workflows that must perform under the rigorous SLA requirements of Fortune 500 clients. We prioritize deterministic outcomes in a non-deterministic field.
Our stack is built for scale, security, and sovereignty. We don’t just consume APIs; we fine-tune open-source weights, architect RAG pipelines with complex semantic routing, and build custom hardware-acceleration layers for private cloud deployments. Our team members are expected to be polyglots, comfortable shifting from PyTorch optimizations to Rust-based backend microservices.
We build for enterprise clients who cannot compromise on data privacy. You will design “Air-Gapped” AI architectures and on-premise LLM clusters that outperform public cloud alternatives.
We have zero interest in “lab-only” AI. Every model you optimize and every pipeline you build is destined for high-stakes production environments where latency is measured in milliseconds and reliability is 99.99%.
As Head of AI Engineering, you aren’t just managing tasks. You are setting the technical roadmap, evaluating emerging transformer architectures, and deciding which paradigms will define our future services.
Our interview process is designed by engineers for engineers. We respect your time and focus on deep technical competence over performative riddles.
No LeetCode. We start with a 60-minute session focused on your experience building and scaling production AI systems. We will discuss data consistency in RAG pipelines, model evaluation strategies, and the trade-offs between different vector indexing algorithms (HNSW vs. IVF).
A take-home or live session involving a real-world scenario: architecting a multi-agent system for a global logistics provider. You’ll need to account for transient failures, rate-limiting, tool-calling accuracy, and observability across the trace.
Discussion with our C-suite. We explore how you translate bleeding-edge AI research into quantifiable business value for stakeholders. We evaluate your ability to lead distributed teams across multiple time zones while maintaining high velocity and code quality.
Final alignment on compensation, equity, and the technical vision. You will meet with regional partners to discuss our expansion into 10+ new markets in 2025 and your role in shaping that growth.
Think you have what it takes to lead the AI revolution at Sabalynx?
Submit Application & GithubThe chasm between a successful LLM prototype and a production-grade, latency-optimized AI ecosystem is vast. You don’t just need a developer; you need an architect of intelligence. Sabalynx provides elite Head of AI Engineering placement—fractional or full-time—to oversee your MLOps pipelines, manage GPU compute budgets, and ensure your proprietary data moats remain impenetrable while delivering sub-second inference at scale.
Transitioning from monolithic POCs to scalable microservices with integrated RAG orchestration and vector database optimization.
Implementing automated CI/CD for ML, drift detection, and rigorous model versioning to maintain high-precision output in live environments.
Deploying robust guardrails against prompt injection and ensuring SOC2/GDPR compliance across all model inference layers.
Optimizing token utilization and GPU allocation to ensure your AI infrastructure scales profitably, not exponentially.
Current Availability: 2 Fractional Openings Remaining for Q1 2025