Senior AI Platform Engineer: Azure, Secure Multi-Agent

Securitas Security Services

Village of Elmsford (NY)

Hybrid

USD 155,000 - 180,000

Full time

6 days ago

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Benefits offered by this job

Competitive pay

Weekly pay

Comprehensive benefits for eligible员工

Paid training and professional develop

Career advancement opportunities

Employee recognition programs

Supportive and inclusive work环境

Opportunity to work for the world's领先保

Medical, dental, and vision insurance

Life and disability insurance

Paid time off

401(k) or retirement savings plan

Employee assistance program

Additional voluntary benefits

Job summary

Securitas Security Services is hiring a Staff AI Engineer in Elmsford, NY to lead hands-on development of an enterprise AI platform with a focus on agent and API development for mobile and web apps. The role emphasizes zero-trust security, scalability, and performance in Azure, with BYOA, MCP/A2A connectors, and third-party vendor integrations.

You will mentor engineers, review code, and drive GenAI-enabled workflows, balancing rapid delivery with strong security and observability.

Qualifications

At least 8 years of software engineering experience with 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.

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 to enable advanced capabilities.
Design secure, reusable agent templates, orchestration workflows, and MCP and A2A connectors.
Establish 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.