Senior Cloud Systems Engineer (Python & AI Integration)

Job Description:

We are looking for a heavy-hitting Python Developer with deep Azure Infrastructure expertise to own the backend and deployment for a production-grade AI conversational platform. This isn't a research role; it’s a "boots-on-the-ground" engineering position requiring you to architect, deploy, and integrate AI services into a complex enterprise ecosystem for a Fortune 500 connectivity leader.

The Mission

You will join an ongoing program for a massive global telecommunications and connectivity client. The platform—a sophisticated chat interface with streaming responses and long-term memory—has been architected and built solo by our Technical Director to date. As we approach an April 2025 production launch, you will take over the day-to-day engineering, architecture, and "Full-Stack DevOps" ownership to scale the platform through the end of the year.

What You’ll Do (The Role)

• Architect from Scratch: Design and deploy cloud infrastructure within Azure, ensuring services are resilient, monitored, and secure (RBAC).
• Engineer Backend Services: Develop and extend high-concurrency APIs using Python and FastAPI to support agentic behaviors and real-time streaming.
• Own the Deployment: In the absence of a centralized CI/CD team, you will manage the full deployment lifecycle, running scripts across environments and building the path toward future automation.
• Integrate AI as a Service: Implement and orchestrate LLMs, Vector Databases, and RAG pipelines using the Microsoft Agent Framework (MAF).
• Data Orchestration: Build the data flows required for "agent memory" and prepare for upcoming integrations with Adobe Experience Platform (AEP) and Salesforce Data Cloud.
• Navigate the Enterprise: Work within a highly matrixed environment, independently managing communications with upwards of 25 project managers and stakeholders.

What You’ll Have (The Requirements)

• Python Mastery: Professional experience building production backend systems (FastAPI preferred).
• Azure Infrastructure: You are a "Cloud First" developer capable of configuring Azure Functions, Container Apps, and API Management independently.
• The "DevOps" Skillset: Hands-on experience with Docker and manual environment management; you don't need a DevOps team to ship code.
• Practical AI Understanding: You treat AI as "just another development effort." You understand how to integrate LLMs and manage context without getting lost in the "hype."
• Enterprise Endurance: Experience working in large-scale corporate environments.

The Tech Stack

• Languages/Frameworks: Python, FastAPI, Microsoft Agent Framework (MAF)
• Cloud: Azure (Functions, APIM, RBAC, Monitoring)
• Data/Containers: Postgres, Docker, Vector Databases
• Future Integrations: Adobe Experience Platform, Salesforce Data Cloud

The annual salary range for this position is $94,000 - $152,375. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.

Benefits available with this position include:

• Medical, vision, and dental insurance,

• Life insurance,

• Short-term and long-term disability insurance,

• 401k,

• Flexible paid time off,

• At least 15 paid holidays per year,

• Paid sick and safe leave, and

• Paid parental leave.

Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com.

To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.

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