Forward Deployed Engineer - AI SOC

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. The Forward Deployed Engineer is responsible for deploying, integrating, and operationalizing next-generation security and AI capabilities in real-world customer and enterprise environments. This role works at the intersection of engineering, security operations, data, and customer success to translate complex requirements into scalable, production-ready solutions. This individual partners closely with security leaders, analysts, platform teams, data scientists, and infrastructure stakeholders to implemen [... source excerpt omitted ...] rience, and accelerate time to value. The ideal candidate combines strong hands-on engineering skills with a deep understanding of SOC operations, cloud platforms, automation, and customer-facing delivery. Responsibilities Customer and Stakeholder Delivery Serve as the technical lead for deploying and operationalizing security and AI solutions in customer or enterprise environments Translate business, operational, and security requirements into deployable architectures and implementation plans Partner with internal and external stakeholders to ensure solutions are aligned to operational goals, compliance requirements, and long-term platform strategy Act as a trusted advisor [... source excerpt omitted ...] detection engineering and data teams to support implementation of behavioral analytics, anomaly detection, risk scoring, and other AI-assisted security use cases Help define data requirements, feedback loops, and operational guardrails needed to support effective AI outcomes in production environments Ensure deployed solutions are practical, measurable, and aligned to analyst workflows and response objectives Automation and Reliability Implement secure and governed automation for investigation and response use cases across heterogeneous environments Support resiliency, observability, performance, and scale requirements for deployed solutions Troubleshoot integration issues, dep