The Role
Deploy and integrate AI-enabled SOC solutions across customer environments: design cloud-native ingestion pipelines, integrate SIEM/XDR/SOAR and tooling, implement automation and AI workflows, improve analyst experience, troubleshoot production issues, and provide technical leadership and field-facing delivery.
Summary Generated by Built In
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
- 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
Customer and Stakeholder Delivery
Solution Implementation and Integration
AI-Enabled Security Operations
Automation and Reliability
Cross-Functional Leadership
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
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 [email protected].
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.
Skills Required
- 5+ years in security engineering, platform/solutions/forward deployed engineering or related technical roles
- Hands-on experience implementing and operating SIEM, XDR, and SOAR technologies
- Experience deploying cloud-native architectures on at least one major cloud provider (AWS, Azure, or GCP)
- Strong background in data integration, telemetry pipelines, normalization, and security analytics workflows
- Experience working directly with customers and cross-functional delivery teams in implementation-focused environments
- Ability to lead technical engagements, drive execution, and influence outcomes without direct authority
- Scripting and automation using Python, PowerShell, or Bash
- Familiarity with APIs and integration patterns including REST, webhooks, and event-driven workflows
- Working knowledge of AI/ML concepts relevant to SOC use cases (anomaly detection, behavior analytics, LLMs, vector search)
- Bachelor's degree in Computer Science, Information Security, Engineering, or equivalent practical experience
- Experience with MSSP, MDR, XDR, or security service delivery environments
- Experience deploying solutions in regulated or compliance-sensitive environments
- Familiarity with infrastructure as code and CI/CD production delivery practices
- Relevant cloud, security, or platform-specific certifications
AHEAD Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AHEAD and has not been reviewed or approved by AHEAD.
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Retirement Support — 401(k) contributions are matched dollar-for-dollar on the first $5,000 each year, with matching made each pay period and immediate 100% vesting. This structure signals above-standard employer support for retirement savings.
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Affordable Benefits — Medical options include low employee premiums for PPO and HDHP plans, and the HDHP adds employer HSA funding plus a dollar-for-dollar HSA match up to stated amounts. Dental and vision plans list very low per-paycheck costs, helping keep overall healthcare spend manageable.
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Wellbeing & Lifestyle Benefits — No-cost telemedicine (including virtual mental health when enrolled), free Calm access for the employee and dependents, and an EAP with counseling are included. Company-paid life and disability plus voluntary protections (legal/ID, pet insurance) and other extras round out a comprehensive set of supports.
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The Company
What We Do
AHEAD builds platforms for digital business. By weaving together cloud infrastructure, intelligent operations, and modern applications, we help enterprises deliver on the promise of digital transformation.
