Forward Deployed Engineer - AI SOC

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OtherForward Deployed Engineer

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Quick Summary

Overview

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery,

Technical Tools

OtherForward Deployed Engineer

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.

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

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

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

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, deployment blockers, and production challenges in partnership with platform, cloud, and security teams
Improve reliability and maintainability through documentation, testing, monitoring, and standardized engineering practices

Collaborate across Security Operations, Security Engineering, Detection Engineering, Data Science, Infrastructure, and product or customer teams
Communicate technical concepts clearly to both technical and non-technical stakeholders
Mentor engineers and contribute to best practices for implementation, delivery, and technical solution design
Provide field feedback to influence platform roadmap, product direction, and architectural standards

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

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

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

Bachelor’s degree in Computer Science, Information Security, Engineering, or equivalent practical experience

The compensation range indicated in this posting reflects the On-Target Earnings (“OTE”) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate’s relevant experience, qualifications, and geographic location.

Why AHEAD:

Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.

We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.

USA Employment Benefits include:

- Medical, Dental, and Vision Insurance

- 401(k)

- Paid company holidays

- Paid time off

- Paid parental and caregiver leave

- Plus more! See benefits https://www.aheadbenefits.com/ for additional details.

Use of AI:

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.

If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at privacy@ahead.com.

You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out.