Staff AI Engineer

Securitas USA; United States; Hybrid; USD 155.000 - 180.000; Vollzeit

Benefits dieser Stelle

Medical insurance

Dental insurance

Vision insurance

Life and disability insurance

Paid time off

401(k) plan

Employee assistance program

Voluntary benefits

Zusammenfassung

Securitas USA is seeking a Staff AI Engineer to lead hands-on development of an enterprise Intelligence platform that powers its mobile and web apps. You will drive AI ecosystem architecture, integrate third-party agents, and mentor engineers across teams.

Responsibilities include designing secure agent templates and MCP/A2A connectors, enforcing BYOA standards, and advancing CI/CD with QA/DevOps. Hybrid/remote work options are available in the US.

Qualifikationen

• At least 8 years of software engineering experience.
• Proficiency in Python and modern API development.
• Experience with LLM-powered applications and multi-agent workflows.

Aufgaben

• Lead hands-on development for an enterprise AI platform with a cloud-native Azure setup.
• Define secure, reusable agent templates and connectors for MCP and A2A workflows.
• Establish BYOA standards, automated testing, and CI/CD release processes.
• Mentor engineers and review code to maintain technical excellence and AI security.
• Integrate GenAI and automation tools to optimize workflows.

Kenntnisse

Python

API development

LangGraph

Langfuse

Azure

Cloud architecture

Security

Tools

LangGraph

Langfuse

Azure AI Foundry

Container Apps

Cosmos DB

Key Vault

Jobbeschreibung

Staff AI Engineer

About the Role

We are seeking a Staff AI Engineer to lead hands‑on development for our enterprise Intelligence platform, which hosts the agents and APIs powering our mobile and web applications. In this role, you will drive the architecture of our AI ecosystem, integrate third‑party vendor agents, and mentor engineers across internal and external teams.

What You'll Do

• Drive Delivery: 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.
• Define Architecture: Design secure, reusable agent templates, orchestration workflows, and Model Context Protocol (MCP) and Agent 2 Agent (A2A) connectors.
• Set Engineering Standards: Establish strict Bring Your Own Agent (BYOA) standards, automated testing and CI/CD release workflows in partnership with QA and DevOps.
• Mentor & Elevate: Guide and code‑review internal engineers and contractor teams to maintain technical excellence and enforce AI security best practices.
• Integrate AI Tools: Leverage GenAI and developer automation tools to optimize workflows and speed up execution.

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.

What You'll Bring

To be successful in this role, you should have: Required Qualifications Skills & Competencies

Why Join Securitas

• 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

Position

Hybrid (2 days a week) if within commutable distance, or fully remote. Minimal travel required (up to 2 domestic trips per year).

Compensation Information

Pay Range: $155,000 - $180,000 annually

Actual compensation is determined by factors including experience, qualifications, work location, applicable laws, and business needs.

Benefits

• 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