Note: The job is a remote job and is open to candidates in USA. Securitas Security Services USA, Inc. is hiring a Staff AI Engineer to lead hands-on development and architecture for its enterprise Intelligence platform. The role focuses on building secure, scalable AI agents and integrations, establishing engineering and release standards, and mentoring engineers and contractor teams.
Responsibilities
- Lead hands-on development for our Agentic AI platform, prioritizing zero-trust security, scalability, and performance in a cloud-native Azure environment. For example, build and deploy new agents that connect with third-party enterprise vendors (e.g., workforce management, HR platforms) to unlock new advanced capabilities
- Design secure, reusable agent templates, orchestration workflows, and Model Context Protocol (MCP) and Agent 2 Agent (A2A) connectors
- Establish strict Bring Your Own Agent (BYOA) standards, automated testing and CI/CD release workflows in partnership with QA and DevOps
- Guide and code-review internal engineers and contractor teams to maintain technical excellence and enforce AI security best practices
- Leverage GenAI and developer automation tools to optimize workflows and speed up execution
Skills
- At least 8 years of software engineering experience, with deep proficiency in **Python** and modern API development
- Proven success designing, deploying, and observing LLM-powered applications, orchestrated multi-agent workflow using **LangGraph**, and scalable RAG systems
- Hands-on experience building within cloud-native Azure architectures (e.g., Azure AI Foundry, Container Apps, Cosmos DB, Key Vault)
- Experience building robust API integrations, external system connectors, or Model Context Protocol (MCP) and Agent 2 Agent (A2A) connectors
- Strong understanding of AI observability tools (e.g., Langfuse) for tracking latency, token usage, control-flow decisions, and session analytics
- Track record of shipping high-impact features quickly while managing technical debt pragmatically
- Technical Initiative: Proactively proposes new solutions and architectures
- Low-Ego Collaboration: Eagerly adapts initial designs based on team feedback
Benefits
- Comprehensive benefits for eligible employees
- Paid training and professional development
- Career advancement opportunities
- Employee recognition programs
- Supportive and inclusive work environment
- Hybrid (2 days a week) if within commutable distance, or fully remote
- For eligible employees: medical, dental, and vision insurance
- For eligible employees: life and disability insurance
- For eligible employees: paid time off
- For eligible employees: 401(k) or retirement savings plan
- For eligible employees: employee assistance program
- For eligible employees: additional voluntary benefits, where applicable
Company Overview
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