What are the responsibilities and job description for the AI Solutions Architect – Enterprise Security position at Blue Signal Search?
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.
What’s In It For You
- 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.
Key Responsibilities
- 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.
Required Qualifications
- 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.
Preferred / Bonus Points
- 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.
About Blue Signal:
- 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/46Gs4yS