Securitas Security Services is hiring a Staff AI Engineer to lead hands-on development of an enterprise intelligence platform. This role focuses on agent and API development for mobile and web applications, with an emphasis on AI ecosystem architecture, third-party vendor integrations, and secure, high-performing delivery in Azure.
Role Overview
In this hybrid role based in Elmsford, NY, you will help design and deploy an agentic AI platform that supports secure orchestration, reusable agent templates, and connectors. You will mentor internal engineers and contractor teams while ensuring zero-trust security, scalability, and performance in a cloud-native Azure environment.
Key Responsibilities
- Lead hands-on development for the Agentic AI platform, emphasizing zero-trust security, scalability, and performance in a cloud-native Azure environment.
- Build and deploy new agents connected to third-party enterprise vendors (such as workforce management and HR platforms) to enable advanced capabilities.
- Design secure, reusable agent templates, orchestration workflows, and Model Context Protocol (MCP) and Agent 2 Agent (A2A) connectors.
- Establish Bring Your Own Agent (BYOA) standards, including automated testing and CI/CD release workflows in partnership with QA and DevOps.
- Guide engineering teams through technical code review to maintain technical excellence and enforce AI security best practices.
- Use GenAI and developer automation tools to optimize workflows and speed up execution.
Required Qualifications
- 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, including orchestrated multi-agent workflow using LangGraph, and scalable RAG systems.
- Hands-on experience building in cloud-native Azure architectures, including Azure AI Foundry, Container Apps, Cosmos DB, and Key Vault.
- Experience building robust API integrations, external system connectors, or MCP and A2A connectors.
- Strong understanding of AI observability tools such as Langfuse for latency, token usage, control-flow decisions, and session analytics.
- Track record of shipping high-impact features quickly while managing technical debt pragmatically.
- Technical initiative to proactively propose new solutions and architectures.
- Low-ego collaboration, with willingness to adapt initial designs based on team feedback.
Technologies
- Python
- LangGraph
- Langfuse
- Model Context Protocol (MCP)
- Agent 2 Agent (A2A)
- GenAI
- Azure
- Azure AI Foundry
- Container Apps
- Cosmos DB
- Key Vault
- CI/CD
Compensation
Pay Range: USD $155,000 - $180,000 per year.
Actual compensation is determined by factors including experience, qualifications, work location, applicable laws, and business needs.
Benefits
- Competitive pay
- Weekly pay
- Comprehensive benefits for eligible employees
- Paid training and professional development
- Career advancement opportunities
- Employee recognition programs
- Supportive and inclusive work environment
- Opportunity to work for the world's leading protective services company
- Medical, dental, and vision insurance
- Life and disability insurance
- Paid time off
- 401(k) or retirement savings plan
- Employee assistance program
- Additional voluntary benefits, where applicable
Work Location and Travel
- Hybrid (2 days a week) if within commutable distance, or fully remote.
- Minimal travel required (up to 2 domestic trips per year).
Reasonable Accommodation
Securitas USA is committed to full inclusion of qualified individuals and will take steps to assure reasonable accommodations are provided for people with disabilities. To request reasonable accommodation for the job application or interview process, contact PrivacyRequests@securitasinc.com.
