Forward-Deployed Security AI Engineer

Remote; San Francisco (CA); In loco; USD 140.000 - 200.000; Tempo pieno

Descrizione del lavoro

Remote is seeking a Forward Deployed Engineer to deploy and operationalize security and AI capabilities in real-world customer environments. This role collaborates with security operations, platform teams, data scientists, and infrastructure stakeholders to implement AI-enabled SOC workflows, integrate tooling, and accelerate time to value.

The ideal candidate blends hands-on engineering with a deep SOC operations understanding, cloud experience, automation, and a customer-facing delivery

Competenze

• 5+ years in security engineering or platform engineering.
• H hands-on with SIEM, XDR, SOAR and detection engineering.
• Experience deploying cloud-native architectures on AWS, Azure, or GCP.
• Experience interfacing with customers and cross-functional delivery teams.
• Ability to lead technical engagements and deliver on time.

Mansioni

• Lead deployment of security and AI solutions in customer environments.
• Translate requirements into deployable architectures and plans.
• Collaborate with stakeholders to meet compliance and platform strategy.
• Onboard, implement, roll out, and optimize solutions.
• Design integrations across SIEM, XDR, SOAR, data platforms, and AI tooling.
• Build data ingestion and enrichment pipelines for security telemetry.

Conoscenze

SOC/SECURITY OPERATIONS

Cloud architectures

Automation scripting

APIs and integrations

AI/ML in security

Formazione

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

Strumenti

Kafka

Kinesis

Pub/Sub

Spark

Databricks

BigQuery

Snowflake

Descrizione del lavoro

Remote is seeking a Forward Deployed Engineer to deploy and operationalize security and AI capabilities in real-world customer environments. This role collaborates with security operations, platform teams, data scientists, and infrastructure stakeholders to implement AI-enabled SOC workflows, integrate tooling, and accelerate time to value.

The ideal candidate blends hands-on engineering with a deep SOC operations understanding, cloud experience, automation, and a customer-facing delivery