Lead AI Security Automation Engineer

Jobtailor; Massachusetts; On-site; USD 200,000 - 260,000; Full time

Job summary

Jobtailor in Massachusetts seeks a senior AI Automation Engineer leader to build and mentor a team focused on cybersecurity operations through automation and AI-driven innovation.

You will architect scalable AI platforms, design production-grade systems, and enable tool-use orchestration with cloud-native solutions across AWS, Azure, and GCP. Senior leadership and cross-team collaboration are essential for success.

Qualifications

• Master's degree in one of the listed disciplines

Responsibilities

• Build, lead, and mentor a high-performing team of AI Automation Engineers focused on cybersecurity operations through automation and AI-driven innovation.
• Lead the architecture and hands-on delivery of scalable, reliable agentic AI platforms for security workflows.
• Design and build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration.
• Architect retrieval and context-engineering approaches including embeddings, semantic search, grounding, summarization, and prompt/version management.
• Engineer cloud-native AI solutions in AWS, Azure and GCP using containers and serverless patterns, event-driven messaging, and distributed data stores.
• Optimize platform performance across latency, throughput, scalability, caching, context efficiency, and cost controls.
• Build well-governed APIs and integrations that connect AI capabilities to security platforms, tools, and business processes.
• Establish evaluation, research, regression testing, and observability frameworks to continuously improve quality and agent behavior.
• Define engineering standards for reliability, security, and safe AI operation across the platform lifecycle.
• Mentor senior & junior engineers and influence engineering direction through code reviews, architecture forums, and cross-team technical leadership.

Skills

AI Platform Architecture

Cloud-Native Solutions

AI Development

Cybersecurity Solutions

Team Leadership

Mentoring

Cross-Team Collaboration

Performance Optimization

Observability

API Development

Education

Master's Degree in Computer Science

Master's Degree in Software Engineering

Master's Degree in Artificial Intelligence

Master's Degree in Data Science

Master's Degree in Cybersecurity

Tools

Containers

Serverless Patterns

Embeddings

Semantic Search

Guardrails

Tool-Use Orchestration

Job description

• Build, lead, and mentor a high-performing team of AI Automation Engineers focused on advancing cybersecurity operations through automation and AI-driven innovation.
• Lead the architecture and hands-on delivery of scalable, reliable agentic AI platforms for security workflows.
• Design and build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration.
• Architect retrieval and context-engineering approaches including embeddings, semantic search, grounding, summarization, and prompt/version management.
• Engineer cloud-native AI solutions in AWS, Azure and GCP using containers and serverless patterns, event-driven messaging, and distributed data stores.
• Optimize platform performance across latency, throughput, scalability, caching, context efficiency, and cost controls.
• Build well-governed APIs and integrations that connect AI capabilities to security platforms, tools, and business processes.
• Establish evaluation, research, regression testing, and observability frameworks to continuously improve quality and agent behavior.
• Define engineering standards for reliability, security, and safe AI operation across the platform lifecycle.
• Mentor senior & junior engineers and influence engineering direction through code reviews, architecture forums, and cross-team technical leadership.

Requirements

• Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Cybersecurity, or a related discipline
• 10+ years of professional software engineering experience
• 4+ years of experience developing AI, Machine Learning, or Generative AI solutions
• Demonstrated success designing and deploying enterprise-scale applications and platforms
• Experience developing cybersecurity, analytics, or operational intelligence solutions

Core Competencies

Demonstrates expertise in building and leading high-performing teams of AI Automation Engineers, with a strong focus on developing scalable AI platforms and cybersecurity solutions. Proficient in architecting and delivering cloud-native AI systems while ensuring reliability, security, and performance optimization.

Highest-signal resume keywords

• AI Platform Architecture
• Cloud-Native Solutions in AWS, Azure, GCP
• AI, Machine Learning, Generative AI Development
• Cybersecurity Solutions Development
• Team Leadership and Mentoring

ATS Optimization Keywords

Hard Skills

• AI Systems Design
• Production-Grade AI Development
• Context-Engineering Approaches
• API Development
• Performance Optimization
• Event-Driven Messaging
• Distributed Data Stores
• Regression Testing
• Observability Frameworks
• Enterprise-Scale Application Deployment

Soft Skills

• Mentoring
• Technical Leadership
• Cross-Team Collaboration

Certifications & Qualifications

• Master's Degree in Computer Science
• Master's Degree in Software Engineering
• Master's Degree in Artificial Intelligence
• Master's Degree in Data Science
• Master's Degree in Cybersecurity

Industry Keywords

• Cybersecurity Operations
• AI-Driven Innovation
• Operational Intelligence
• Analytics Solutions
• Software Engineering

Tools & Technologies

• Containers
• Serverless Patterns
• Embeddings
• Semantic Search
• Guardrails
• Tool-Use Orchestration