AI Engineer III

Cerium Networks

Seattle (WA)

Hybrid

USD 110,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

PTO 15 days

9 holidays

Job summary

Cerium Networks is seeking an AI Engineer III to join our Data & AI implementation services team to build and deliver custom AI features on Cerium’s Agent Platform hosted on Azure. This hands-on builder role covers full-stack development across front-end, back-end, data integration, and AI models.

You will own delivery from architecture through deployment, engage with customers to define requirements, and mentor junior engineers while collaborating with DevOps and security teams.

Qualifications

Bachelor’s degree in software engineering or related field or equivalent experience.
7+ years of full-stack development experience with Python and Azure.
Proven track record deploying AI agents or Gen AI solutions with Python, FastAPI, LangChain/LangGraph, and Azure.
Experience translating complex concepts for non-technical audiences.
Willing to travel 10-20% as needed.

Responsibilities

Own technical delivery from architecture to handoff for AI solutions and agents.
Lead customer discussions to gather requirements and define capabilities.
Deploy software to the Azure Agent Platform with CI/CD pipelines.
Integrate AI solutions with data platforms and cloud services.
Provide technical leadership, reviews, and guidance across AI/ML, DevOps, security, and cloud architecture.

Skills

Full-stack development

Python

Azure

Generative AI

LangChain/LangGraph

Consulting with clients

Technical leadership

Education

Bachelor’s degree in software engineering or related field

Tools

Azure DevOps

Azure Container Apps

Cosmos DB

Azure Container Registry

LangChain / LangGraph

Job description

About Us

Cerium Networks is a lifecycle-driven technology partner. We bring together advanced systems integration and professional services to design, deliver, and optimize the platforms our clients depend on, spanning cybersecurity, networking, data center, collaboration, and customer experience solutions—all amplified by AI at every layer. From intelligent automation to data-driven insights, we help organizations harness AI to transform operations, enhance experiences, and accelerate business value, while our commitment to continuous innovation and lifecycle engagement creates meaningful growth opportunities for our associates to lead in a rapidly evolving, AI-driven world.

We are seeking an AI Engineer III to join our Data & AI implementation services team to help build and deliver custom-built features and software solutions on Cerium’s AI Agent Platform hosted on Azure. This is a builder role where you will be a hands-on developer creating and implementing software solutions for Cerium’s customers.

Primary responsibilities focus on designing, developing, and implementing secure and reliable generative AI solutions and application features to build agents and automate workflows for our clients. The position involves full-stack development including front-end interfaces, back-end services, integration with data platforms, and AI models and services working within our primary tech stack consisting of Python, FastAPI, LangChain / LangGraph, Microsoft Azure and Foundry services, and Azure DevOps.

What You’ll Do

Independently own technical delivery for client engagements from architecture and estimation through implementation, testing, deployment, documentation and handoff of AI solutions such as agents, automation workflows, and Gen AI models with best practices for our clients.
You will lead technical conversations with customers to gather requirements on the solutions we will build and establish the capabilities of our solutions and services.
You will deploy software to our Agent Platform on Azure with CI/CD pipelines as needed for automated builds and releases.
You will integrate custom AI solutions with 3rd party applications, modern data architecture, and cloud services.
You will provide technical consulting services to propose solutions, gather feedback for necessary adjustments during the software development lifecycle, and perform administrative handoffs to ensure smooth transitions post-implementation.
You will offer technical leadership and mentoring of junior engineers, providing technical direction, architecture and code reviews, and implementation guidance across in AI/ML, DevOps, security, and cloud architecture best practices.
You will support pre-sales and sales teams in designing and proposing solutions with estimated levels of effort as needed.

Requirements

What We’re Looking For

Required

Bachelor’s degree in software engineering, applied artificial intelligence, or a related field or equivalent experience.
7+ years of experience in full-stack development experience. Python and Azure experience.
Proven track record deploying AI agents or Generative AI solutions with Python, FastAPI, LangChain / LangGraph, and Azure.
Experience consulting with clients and translating complex technical concepts into simple, understandable terms for non-technical audiences.
Ability to manage multiple tasks, projects, and clients simultaneously.
Customer service skills and experience.
Strong organization and documentation abilities.
Willing to travel 10-20% of the time depending on client needs.

Preferred

Experience with Azure Container Apps, Cosmos DB, and Azure Container Registry is a plus.
3+ years in consulting/professional services.
DevSecOps skills and experience with Snyk or other vulnerability scanning tools.
Ensuring software meets ISO 27001 compliance standards.
Certifications or equivalent experience across AI and DevOps solutions: Microsoft Azure AI Apps and Agents Developer Associate (AI-103); Microsoft Certified Azure AI Cloud Developer Associate (AI-200); Microsoft Certified Azure Dev Associate / DevOps Engineer Expert (AZ-204 / AZ-400); Microsoft Azure Cosmos DB Developer Specialty (DP-420)

Location: Seattle, WA; Beaverton, OR

Schedule: Hybrid, 1-Day onsite

Compensation

Pay Range: $110,000 - $150,000
Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance.

Benefits