Senior AI Security Automation Engineer

Jobtailor; Massachusetts; On-site; USD 180,000 - 260,000; Full time

Job summary

Jobtailor in Massachusetts seeks a senior AI Platform Architect to drive scalable, secure AI systems for security workflows. You will design and deliver production-grade AI solutions, including agents, memory patterns, guardrails, and tool orchestration, while guiding junior engineers and shaping technical direction.

You will architect cloud-native services across AWS/Azure/GCP, optimize performance, and establish robust testing and observability to ensure reliability and governance of AI

Qualifications

• 7+ years of professional software engineering experience.
• 3+ years of experience developing AI/ML/Generative AI solutions.
• Enterprise-scale application and platform deployment experience.
• Experience cybersecurity, analytics, or operational intelligence projects.

Responsibilities

• Design and deliver scalable, secure AI platforms for security workflows.
• Architect production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration.
• Engineer cloud-native AI services in AWS, Azure, GCP with containers and serverless patterns.
• Mentor junior engineers and influence engineering direction via reviews and forums.
• Establish evaluation, testing, and observability frameworks to improve quality.

Skills

AI Platform Architecture

Software Engineering

AI System Design

Performance Optimization

Data Store Management

Semantic Search

Context Engineering

Regression Testing

Observability Frameworks

Enterprise-Scale Deployment

Education

Master's or Bachelor's in CS/SE/AI/Data Science/Cybersecurity

Tools

Containers

Serverless Patterns

Embeddings

Guardrails

Prompt Management

Job description

• Drive 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 services 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 junior engineers and influence engineering direction through code reviews, architecture forums, and cross-team technical leadership

Requirements

• 7+ years of professional software engineering experience
• 3+ 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
• Master's or bachelor's degree in computer science, Software Engineering, Artificial Intelligence, Data Science, Cybersecurity, or a related discipline

Core Competencies

Demonstrates expertise in architecting and delivering scalable AI platforms, with a strong focus on security workflows and cloud-native services. Proficient in developing AI solutions, optimizing performance, and establishing engineering standards for reliability and security.

Highest-signal resume keywords

• AI Platform Architecture
• Cloud-Native Services in AWS, Azure, GCP
• Machine Learning and Generative AI Solutions
• Cybersecurity and Operational Intelligence
• API Development and Integration

ATS Optimization Keywords

Hard Skills

• Software Engineering
• AI System Design
• Performance Optimization
• Data Store Management
• Event-Driven Messaging
• Semantic Search
• Context Engineering
• Regression Testing
• Observability Frameworks
• Enterprise-Scale Application Deployment

Soft Skills

• Mentoring
• Technical Leadership
• Cross-Team Collaboration

Industry Keywords

• Cybersecurity
• Analytics
• Operational Intelligence
• AI Governance
• Quality Improvement

Tools & Technologies

• Containers
• Serverless Patterns
• Embeddings
• Guardrails
• Prompt Management