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Principal AI Engineer
·Israel
Not specifiedFull-timeAI EngineeringEnergy Technology
As Principal AI Engineer, you'll be the technical backbone of our AI Center of Excellence, owning the AI platform stack, internal marketplace, and AI FinOps. You'll set standards, guide complex builds, and drive governance for enterprise-wide AI adoption.
Responsibilities
- Own end-to-end AI platform stack: architecture, reliability, integration, and observability.
- Define standards for AI solution development, deployment, and monitoring with DevOps discipline.
- Solve complex, ambiguous AI problems by scoping use cases, selecting stacks, and guiding delivery.
- Build and manage the internal AI marketplace with vetting, access controls, and audit trails.
- Manage AI FinOps: budgeting, forecasting, cost visibility, and optimization across LLM and cloud spend.
- Implement guardrails, tool permissioning, and responsible-AI controls in collaboration with IT.
- Evaluate model choices and data pipelines, providing applied data science guidance.
Requirements
- 8+ years in software, platform, ML, or data engineering with recent AI/LLM depth.
- Proven ownership of a platform or infrastructure area.
- Hands-on experience with LLM patterns: model gateways, RAG, agent runtimes, evaluation infra.
- Cloud and AI cost management expertise.
- Strong grounding in AI governance, security, and responsible-AI controls.
- Working data science and ML fluency.
- Proficiency in Python, containers, CI/CD, and infrastructure as code.
- Track record of mentoring engineers and setting standards.
- Communication skills to translate technical decisions for varied audiences.
Nice to have
- Experience in energy, manufacturing, or operations-heavy industries.
- Experience building internal AI marketplaces or agent platforms.
- Enterprise-scale experience with Microsoft AI stack (Copilot Studio, Power Platform).