AI Solutions Architect – Enterprise Security

AI Solutions Architect – Enterprise Security

Location: Hybrid | Austin, TX

Become part of a top-tier security company pioneering the next era of cyber defense through deployable generative AI. As the inaugural AI Solutions Architect, you’ll play a key role in shaping how emerging AI innovations become useful capabilities for many users. Your work will steer model strategy, performance, and reliability across a global product platform while you collaborate with seasoned threat-hunting and engineering talent.

Anticipate meaningful work, broad exposure, and plenty of room to explore new approaches.

• Competitive base salary, bonus plan, and full benefits package.
• Hybrid schedule that blends on‑site collaboration with remote flexibility.
• Meaningful input into long‑term strategy and the chance to help guide how advanced AI capabilities take shape.

• Translate emerging AI research into practical capabilities that can be broadly delivered to customers.
• Own the decision framework for model adaptation techniques (prompt engineering, PEFT/LoRA, supervised fine‑tuning, RL‑based methods) and select the right approach for each use case.
• Design and deploy low‑latency, high‑throughput inference services using Triton, vLLM, CUDA, or similar GPU‑accelerated stacks.
• Set up automated checks and monitoring tools that continually evaluate models and flag any changes that could reduce their accuracy over time.
• Collaborate with security experts to integrate anomaly‑spotting capabilities and automated defensive actions into AI agents.
• Document reusable blueprints for hybrid (cloud + on‑prem) deployments and mentor engineers on best practices.

• Several years working on applied AI/ML efforts, including meaningful exposure to modern language‑model workflows.
• Hands‑on expertise with at least one fine‑tuning/adaptation toolkit (e.g., NeMo, LLaMA Factory, Hugging Face Transformers).
• Proven experience optimizing GPU inference workloads (Triton, vLLM, CUDA, NCCL, PyTorch /XLA).
• Skilled in using widely adopted programming languages and frameworks that support scalable, containerized systems.
• Deep familiarity with making practical decisions across data, models, and infrastructure, with a history of supporting stable, economical AI outcomes.

• Experience working with techniques that streamline model performance and reduce computational demands.
• Experience using various frameworks designed to orchestrate complex, automated AI behaviors.
• Knowledge of A2A or MCP protocols for multi‑agent coordination.
• Publications, patents, or conference talks on applied generative AI.

Blue Signal is an award‑winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top‑tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at bit.ly/46

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