AI Infrastructure & Engineering Lead

Location

Remote from Poland (overlap to 7-8pm)

Contract Type

B2B

About the Role & Client

Our client is an international specialty insurer operating at the forefront of the insurtech sector, providing cutting-edge risk solutions for high-growth, emerging industries such as AI, digital assets, fintech, biotech, and the space economy.

To dramatically accelerate underwriting workflows, automate operational overhead, and enhance broker interactions, the organization is launching a private enterprise AI initiative.

As the AI Infrastructure & Engineering Lead, you will act as the founding AI technical leader, building an enterprise AI platform from the ground up. You will bring dedicated on-premise NVIDIA GPU hardware online and leverage approximately 1 TB of rich historical insurance data, communication logs, and unstructured documentation.

This is a hands-on, end-to-end leadership opportunity. You will architect, prototype, deploy, and scale the production system yourself before recruiting and mentoring a dedicated engineering team in Poland.

Key Responsibilities

• Hardware & Compute Setup: Assess, architect, and commission dedicated NVIDIA GPU infrastructure, managing networking, remote access, system security, and telemetry.
• Platform & Model Serving: Design, build, and maintain the on-premise AI/ML infrastructure stack and robust model-serving environments.
• Unstructured Data Pipelines: Build ingestion, processing, and indexing pipelines for complex unstructured business documents, including PDFs, scans, emails, and transaction histories.
• LLM Architecture & Fine-Tuning: Develop high-performance LLM solutions leveraging RAG pipelines, prompt architecture, and fine-tuned open-weight models such as Llama, Qwen, and Mistral.
• Applied Business Tools: Deliver initial production prototypes and scale AI-powered tools supporting underwriter risk assessments, rapid quote generation, document extraction, and broker communications.
• Governance & Privacy: Implement data privacy, anonymization, and enterprise security standards to protect sensitive financial and personal records.
• Product Roadmap & Stakeholder Alignment: Work directly with executive leadership to identify business opportunities and define the long-term technical roadmap.
• Team Growth: Source, interview, hire, and manage a high-caliber AI engineering team in Poland.

Requirements

• Core Experience: 8+ years of professional software engineering experience, including at least 3 years delivering production ML/AI systems.
• LLMs & Open-Weight Models: Deep, hands-on expertise in building RAG architectures and fine-tuning open-weight models (e.g., Llama, Qwen, Mistral).
• Hardware & GPU Orchestration: Proven experience deploying, serving, and optimizing models directly on dedicated NVIDIA GPU servers, rather than relying exclusively on managed cloud APIs.
• System Stack: Practical knowledge of Linux, CUDA, Docker/Kubernetes, and serving runtimes such as vLLM or NVIDIA Triton Inference Server.
• Document Processing: Hands-on experience building ETL pipelines for unstructured data formats, including PDFs, raw text, and email datasets.
• Privacy & Security: Strong understanding of data privacy, compliance, and enterprise-grade anonymization practices.
• Leadership: Demonstrated ability to interview, hire, and lead software or ML engineering teams.
• Communication & Collaboration: Fluent English (C1+) and the ability to translate technical trade-offs into clear business terms for non-technical executive stakeholders. Willingness to accommodate some schedule overlap with Atlantic business hours.

Nice to Have

• Prior engineering experience in insurance, insurtech, banking, or other highly regulated industries.
• Experience orchestrating multi-node GPU clusters and High-Performance Computing (HPC) workflows.
• Working knowledge of regulatory frameworks such as GDPR, ISO 27001, or SOC 2.
• Experience driving a greenfield AI initiative from initial concept to enterprise production.
• Willingness to travel internationally occasionally, for example, for project kick-offs.

What We Offer

• True Greenfield Initiative: Complete technical freedom to architect an on-premise AI platform from scratch, using dedicated GPU hardware and real-world enterprise data.
• High-Level Autonomy: Full ownership of architectural decisions, technology stack selection, and delivery roadmaps.
• Team Building: The mandate and resources to build and lead your own engineering organization.
• Executive Impact: Direct visibility and reporting to international leadership, with the opportunity to shape the organization’s AI strategy.
• Flexibility & Compensation: 100% remote work within Poland, under a long-term B2B contract with a competitive senior-level compensation package.