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 implement AI-enabled SOC workflows, integrate security tooling, improve analyst experience, 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 during onboarding, implementation, rollout, and optimization phases
Solution Implementation and Integration
- Design and implement integrations across SIEM, XDR, SOAR, case management, data platforms, and AI-enabled tooling
- Build and configure cloud-native data ingestion, normalization, and enrichment pipelines for security telemetry
- Integrate APIs, webhooks, message queues, and automation workflows across identity, endpoint, cloud, network, and application ecosystems
- Develop reusable deployment patterns, templates, and technical assets to accelerate future implementations
AI-Enabled Security Operations
- Operationalize AI and automation use cases within security workflows, including alert enrichment, triage support, summarization, clustering, playbook selection, and analyst copilots
- Work with 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
Required Qualifications
- 5+ years of experience in security engineering, platform engineering, forward deployed engineering, solutions engineering, or related technical roles
- Hands-on experience implementing and operating modern SOC technologies such as SIEM, XDR, and SOAR
- Experience deploying cloud-native architectures on at least one major cloud provider such as AWS, Azure, or GCP
- Strong background in data integration, telemetry pipelines, normalization, and security analytics workflows
- Experience working directly with customers, internal stakeholders, or cross-functional delivery teams in implementation-focused environments
- Ability to lead technical engagements, drive execution, and influence outcomes without direct authority
Technical Skills
- Strong understanding of security operations, detection and response, cloud security, identity security, and endpoint security
- Experience with scripting and automation using tools such as Python, PowerShell, or Bash
- Familiarity with APIs and integration patterns including REST, webhooks, and event-driven workflows
- Working knowledge of AI and ML concepts relevant to SOC use cases, including anomaly detection, behavior analytics, LLMs, vector search, and AI assistants
- Experience with security data and analytics platforms such as Kafka, Kinesis, Pub/Sub, Spark, Databricks, BigQuery, Snowflake, or similar technologies is a plus
- Strong problem-solving skills, execution mindset, and ability to operate effectively in ambiguous, fast-moving environments
Preferred Qualifications
- Experience in MSSP, MDR, XDR, or other security service delivery environments
- Experience deploying solutions in regulated or compliance-sensitive environments
- Familiarity with infrastructure as code, CI/CD workflows, and production software delivery practices
- Experience building reusable implementation frameworks or field engineering playbooks
- Relevant certifications are a plus, including cloud, security, or platform-specific certifications
Education
- Bachelor’s degree in Computer Science, Information Security, Engineering, or equivalent practical experience
