Director, Engineer – AI, Data & Security Tooling Ecosystem

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop reference architecture, technical standards, and reusable components for AI enablement services, the Security Operations Data Plane, and ecosystem integrations.

• Set forth standards for code quality, test-driven development, availability, and secure software engineering practices.

• Design guardrails for AI-assisted and agentic workflows (bounded actions, least privilege, evidence logging, observability, auditability) and ensure configurations are secure by default.

• Guarantee that ingestion, transformation, schema discipline, enrichment, and analytics readiness are engineered for reliability, performance, and defensible operations.

• When tooling operation is necessary, outline integration contracts (APIs, schemas, telemetry, access controls), automate configurations, and confirm tooling complies with ecosystem standards and monitoring.

• Ensure that platform services and operated tooling include runbooks, health signals, and repeatable remediation patterns.

• Mentor engineers, provide technical guidance, and act as an escalation point for intricate design decisions and cross-product trade-offs.

⛳️ Requirements

• 7–10 years of pertinent new product or technology development experience in a dynamic environment, with a proven track record of shipping software and managing complex integrations.

• Bachelor's degree in engineering, computer science, marketing, or a related business field; MBA/MIS/MS preferred.

• Demonstrated capability to lead cross-product technical strategy and influence senior stakeholders on intricate design choices.

• Strong hands-on experience in establishing CI/CD practices and managing production systems with accountability for KPIs/outcomes.

• Expertise in security data and analytics engineering: log/telemetry pipelines, schema governance, normalization/enrichment, and query-driven analytics concepts.

• Familiarity with cloud and data platforms: experience with cloud-native logging/analytics platforms, time-series/log query languages, and data ingestion/transformation patterns.

• Experience in automation and platform engineering: creating reusable libraries/services and enabling developers through paved roads/golden paths.

• Knowledge of agentic AI secure-by-design practices: least-privilege tool access, restricted interactions, resilience to manipulation, and expectations for evidence logging/explainability.

• Experience collaborating with risk/legal/privacy stakeholders on assessment processes for AI-enabled capabilities and handling regulated data.

🏝️ Benefits

• Allstate offers a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse.

• Employees eligible to work from home receive a monthly connectivity reimbursement to help cover internet expenses.

• When working remotely, you must have a dedicated, private workspace free from distractions, along with suitable desk and seating arrangements.

• Reliable internet is a requirement, with minimum speeds of 50 MB download and 5 MB upload.