Required Agentic AI Engineer - Austin, TX / Fort Mill, SC

[Adil Momento]

Hi,

I hope you’re doing well,

Momento USA is a global technology consulting, talent acquisition, and creative development firm that addresses clients' most pressing needs and challenges. We are currently looking for a Agentic AI Engineer - Austin, TX / Fort Mill, SC. Please let me know if you are interested.

 

 

 

Position: Agentic AI Engineer

Duration: FTE (highly preferred) / 6 to 12 Months C2C (secondary)

Location: Austin, TX / Fort Mill, SC

 

Senior AI Engineer

We are looking for a Senior AI Engineer with a strong software engineering background who has successfully transitioned into building AI-enabled engineering solutions.

This is a highly hands-on engineering role where you will partner with Cloud, Platform, Security, Networking, Data Center, and End User Computing teams to identify high-value engineering challenges and build AI-powered automation that improves engineering productivity and operational efficiency.

Rather than building a centralized AI platform, you will embed within engineering organizations to develop practical AI solutions that automate repetitive engineering tasks, simplify complex workflows, and accelerate software and infrastructure delivery.

You’ll leverage enterprise AI platforms, modern AI development tools, and cloud-native technologies to build production-ready agentic workflows that solve real engineering problems.

Key Responsibilities
* Design and develop AI-powered engineering solutions to automate software and infrastructure engineering workflows.
* Build production-grade agentic AI workflows that integrate with enterprise systems, APIs, cloud services, developer tools, and engineering platforms.
* Partner with Cloud, Platform Engineering, Networking, Security, Firewall, Data Center, and End User Computing teams to understand engineering challenges and identify opportunities for AI-driven automation.
* Design intelligent workflows that automate engineering processes including analysis, diagnostics, deployment, testing, documentation, troubleshooting, and operational support.
* Build reusable AI accelerators that improve engineering productivity and software delivery.
* Integrate Large Language Models (LLMs) into enterprise engineering workflows while ensuring scalability, security, and governance.
* Design cloud-native solutions using modern software engineering and architectural best practices.
* Participate in architecture, design, development, testing, deployment, and production support.
* Drive AI adoption by demonstrating practical engineering use cases and mentoring engineering teams on AI-enabled development.

Required Qualifications
* 5+ years of hands-on software engineering experience.
* Strong experience building enterprise applications using technologies such as:
   * C#
   * .NET / ASP.NET Core
   * Java
   * Python
   * TypeScript
   * React
* Strong understanding of:
   * REST APIs
   * Microservices
   * Distributed Systems
   * Event-Driven Architecture
   * SOLID Design Principles
* Experience developing cloud-native applications on AWS and/or Azure.
* Experience with Docker and Kubernetes.
* Strong understanding of CI/CD and modern DevOps practices.
* Experience integrating enterprise applications through APIs and cloud services.

Agentic AI Experience
The ideal candidate has practical experience applying AI to solve engineering problems—not simply using AI coding assistants.

Experience with one or more of the following is preferred:
* Agentic AI workflows
* AI-assisted engineering
* AI-driven engineering automation
* Multi-step workflow automation
* Model Context Protocol (MCP)
* AI tool integration
* Enterprise LLM applications
* Custom engineering assistants
* Engineering productivity automation

Preferred AI Technologies
Experience with one or more of the following:
* GitHub Copilot
* GitHub Copilot CLI
* Cursor
* Claude
* OpenAI APIs
* Azure AI Foundry
* AWS Bedrock
* Amazon AgentCore
* Microsoft Agent Framework
* LangGraph
* Semantic Kernel
* OpenAI Agents SDK

Preferred Technical Skills
* Cloud-native application development
* Platform Engineering
* Infrastructure as Code (Terraform/Bicep/CloudFormation)
* Kubernetes
* API Integration
* Distributed Systems
* Event Streaming (Kafka preferred)
* Security Engineering concepts
* Observability and Monitoring
* CI/CD Automation

What You’ll Build
Examples of projects include:
* AI-powered engineering assistants
* Cloud engineering automation
* Engineering workflow automation
* Deployment automation
* Infrastructure diagnostics
* Intelligent troubleshooting assistants
* Release engineering automation
* Engineering documentation automation
* Software modernization accelerators
* Developer productivity solutions

Thanks,

Adil M

Sr. Technical Lead

Momento USA | Exceeding Customer Expectations…

Email:  ad...@momentousa.com