Key Facts

Remote From:

Full time

Senior (5-10 years)

English

Hard Skills

AI Security Infrastructure as Code (IaC) Digital Forensics Firewall High Availability Design Containerization Operational Planning Application Programming Interface (API) Internal Documentation Endpoint Security +11 more

Other Skills

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Communication
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Adaptability
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Teamwork
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Problem Solving
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Innovation

Roles & Responsibilities

Experience designing and provisioning secure multi-LLM infrastructure including API gateways, load balancing, and network architecture
Proficiency with infrastructure-as-code tools (Terraform, Bicep) to standardize production deployment of AI pilots
Experience building and maintaining CI/CD tooling for non-deterministic AI applications and LLM evaluation/tracing
Strong focus on AI security guardrails, private endpoints, VNET integration, and firewall rules to meet enterprise infoSec policies

Requirements:

Design and provision secure networking, API gateways, and load balancing to route traffic between internal applications and multiple LLM providers
Engineer hosting and scaling strategies for stateful AI applications (containerized LangGraph agents) to ensure high availability and fault tolerance
Implement network security guardrails including private endpoints, VNET integration, and firewall rules to prevent data leakage and ensure compliance
Build and maintain automated CI/CD pipelines for non-deterministic AI applications and manage infrastructure for internal LLM evaluation and tracing tools

Signature Analytics

Accounting

About Signature Analytics

When your business needs actionable insights from the story your financial data is telling you, turn to us. Signature Analytics provides outsourced accounting and strategic financial solutions to mid-sized companies who need more clarity from their financial data. We provide accurate, relevant, timely financial reports, prudent, strategic financial advice, and day-to-day accounting processes. We are your professional resource partner with a deep bench of trusted experts to meet your needs today and tomorrow. C-Suite leaders need increased visibility into their financial data to make strategic, intelligent business decisions. With your Signature Analytics team you get service-oriented, proactive experts putting systems in place and thinking about your business success. We are transparent and thoughtful in all of our communications. It’s how we provide impactful insights to help you make better-informed business decisions. Solving business challenges and taking advantage of opportunities is easier when you have the right people and financial insights. Growing your business requires the ability to adapt to changing business trends and market dynamics and not just react to them. Our accounting and finance experts consistently bring ideas to your business that improve your accounting through best practices, incorporating technology, and creating repeatable scalable systems that positively impact your business into the future Your success is our success.

Company type: SME

Industry: Accounting

Founded: 2018

Company size: 51 - 200

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Job description

Citrin Cooperman offers a dynamic work environment, fostering professional growth and collaboration. We’re continuously seeking talented individuals who bring a problem-solving mindset, fresh perspectives, and sharp technical expertise. We know you have choices, so our team of collaborative, innovative professionals are ready to support your professional development. At Citrin Cooperman, we offer competitive compensation and benefits and most importantly, the flexibility to manage your personal and professional life to focus on what matters most to you!

We are seeking a Senior – Cloud Engineer, Development, to join our Development team within the Information Technology department. The newly formed AI Solutions team is the vanguard of our firm’s enterprise AI competency, tasked with transitioning successful AI and Generative AI pilots out of the sandbox into secure, scalable, and resilient production environments. You’ll architect the deployment standards, guardrails, and infrastructure that’ll define how AI operates across the business.

In this pioneering role, you’ll be responsible for the “industrialization” of AI infrastructure. You’ll look past the pilot phase to solve complex challenges related to enterprise integrations, operational readiness, AI tool standard-setting, and network security. With our pilots leveraging a mix of proprietary models (Anthropic, Google, OpenAI), evaluation tools, and custom agent platforms like LangGraph, you’ll design the robust CI/CD pipelines, API routing, and infrastructure-as-code required to manage this diverse ecosystem. This role requires a high-caliber engineer who views pilot transition not as technical debt resolution, but as the critical engineering required to turn a proof-of-concept into a mission-critical, secure enterprise asset.

Responsibilities are, but not limited to

Multi-LLM Infrastructure Architecture: Design and provision the secure networking, API gateways, and load balancing required to seamlessly and securely route traffic between internal applications and multiple LLM providers (Anthropic, OpenAI, Google, etc.).

Agentic Framework Deployment: Engineer the hosting and scaling strategies for complex, stateful AI applications (e.g., containerizing and deploying LangGraph agents), ensuring high availability and fault tolerance.

AI Security & Guardrails: Implement stringent network security, including private endpoints, VNET integration, and firewall rules for all AI services. Establish infrastructure guardrails to prevent data leakage and ensure compliance with enterprise infosec policies.

LLMOps & CI/CD Tooling: Build and maintain automated CI/CD pipelines specifically tailored for non-deterministic applications. Deploy and manage the infrastructure required to host internal LLM evaluation and tracing tools.

Infrastructure-as-Code (IaC) Standards: Develop modular, reusable IaC templates (e.g., Terraform, Bicep) for standardizing how AI pilots are stamped out into production environments.

Cost Management & Operations Readiness: Implement robust monitoring, alerting, and cost-tracking mechanisms for token usage and computing resources. Prepare the environment and documentation for eventual handover to enterprise operations.