GenAI Engineer

Matlen Silver; Charlotte (NC); On-site; USD 140,000 - 190,000; Full time

Job summary

Matlen Silver is seeking an AI Engineer to design and deploy enterprise-grade AI solutions using Microsoft Copilot, Azure AI, and modern AI tech. You will lead AI-powered automation, build LLM-driven apps, and implement responsible AI governance while collaborating across engineering, data science, and business teams.

The role emphasizes prompt engineering, RAG, AI agents, and integration with enterprise systems through REST APIs, Power Platform, and CI/CD pipelines.

Qualifications

• Bachelors in a technical field; master's preferred.
• 5+ years in software engineering, AI/ML, or cloud engineering.
• 2+ years in Generative AI, LLMs, or Copilot ecosystems.

Responsibilities

• Design, develop, and implement enterprise-scale Generative AI and AI-powered automation solutions.
• Develop and customize solutions using Microsoft 365 Copilot and Copilot Studio.
• Leverage Azure OpenAI Services and Azure AI to build intelligent apps and workflows.
• Design and implement LLM-powered applications, AI agents, and agentic workflows.
• Develop and optimize prompt engineering strategies for enterprise AI.
• Build Retrieval Augmented Generation solutions with embeddings, vector databases, and semantic search.
• Integrate AI with enterprise apps using REST APIs and other integration tech.
• Develop automation with Power Platform: Power Apps, Power Automate, Power BI.
• Apply data analytics and AI monitoring to evaluate and improve solutions.
• Collaborate with engineers, data scientists, stakeholders to identify AI use cases.
• Support AI model evaluation, performance optimization, and continuous improvement.
• Implement responsible AI, including governance, security, privacy, monitoring, model evaluation.
• Follow Git, CI/CD, and DevOps practices; stay current with Generative AI trends.

Skills

Prompt Engineering

RAG

AI Agents

REST APIs

Power Platform

Git

CI/CD

Data Analytics

AI Monitoring

NLP

Vector Databases

Embeddings

Fine-Tuning

Responsible AI

AI Governance

Education

Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering

Master's degree preferred

Tools

Azure OpenAI Services

Azure AI Foundry

Copilot Studio

Microsoft 365 Copilot

Microsoft Power Platform

Job description

Position Summary

We are seeking a highly skilled AI Engineer with expertise in Microsoft Copilot, Generative AI, Large Language Models (LLMs), and AI-powered automation to design, develop, and implement enterprise-grade AI solutions.

This role will focus on leveraging Microsoft Copilot, Azure AI services, Microsoft 365 Copilot, Copilot Studio, and modern AI technologies to enhance productivity, automate business processes, improve customer experiences, and drive innovation across the organization.

The ideal candidate will have strong technical expertise across AI/ML, prompt engineering, API integration, data analytics, automation, cloud technologies, and responsible AI practices, along with experience delivering AI solutions within complex enterprise environments.

Key Responsibilities

• Design, develop, and implement enterprise-scale Generative AI and AI-powered automation solutions.
• Develop and customize solutions using Microsoft 365 Copilot and Microsoft Copilot Studio.
• Leverage Azure OpenAI Services, Azure AI Foundry, and Azure AI services to build intelligent applications and workflows.
• Design and implement LLM-powered applications, AI agents, and agentic workflows.
• Develop and optimize prompt engineering strategies for enterprise AI applications.
• Build Retrieval Augmented Generation (RAG) solutions using embeddings, vector databases, and semantic search.
• Integrate AI capabilities with enterprise applications and services using REST APIs and other integration technologies.
• Develop automation solutions using Microsoft Power Platform, including Power Apps, Power Automate, and Power BI.
• Apply data analytics and AI monitoring techniques to evaluate and improve AI solutions.
• Collaborate with software engineers, data scientists, business stakeholders, and technology teams to identify and implement AI use cases.
• Support AI model evaluation, performance optimization, and continuous improvement.
• Implement responsible AI practices, including AI governance, security, privacy, monitoring, and model evaluation.
• Follow enterprise Git, CI/CD, and DevOps practices for development and deployment.
• Stay current with emerging Generative AI, LLM, Microsoft Copilot, and agentic AI technologies.

Required Qualifications

Education

• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related technical field.
• Master's degree preferred.

Experience

• 5+ years of experience in software engineering, AI/ML, cloud engineering, automation, or a related technical discipline.
• 2+ years of hands-on experience with Generative AI, LLMs, Microsoft Copilot, or related AI technologies.
• Demonstrated experience delivering enterprise-scale AI solutions within complex technology environments.

Required Technical Skills

• Prompt Engineering
• Retrieval Augmented Generation (RAG)
• AI Agents and Agentic Workflows
• REST APIs and AI integrations
• Microsoft Power Platform
• Power Apps
• Power Automate
• Power BI
• Git
• CI/CD and DevOps practices
• Data Analytics
• AI Monitoring and Observability
• Experience with Large Language Models (LLMs), including technologies such as:
• GPT
• Gemini
• Natural Language Processing (NLP)
• Vector Databases
• Embeddings and Semantic Search
• Fine-Tuning
• Prompt Engineering and Optimization
• Responsible AI
• AI Governance
• AI security, monitoring, and performance management

Preferred Qualifications

• Experience building enterprise AI agents and agentic workflows.
• Experience integrating Generative AI capabilities with existing enterprise applications and business processes.
• Experience with Microsoft Azure AI ecosystems and Microsoft 365 environments.
• Knowledge of enterprise AI governance, security, privacy, and compliance requirements.
• Experience working in Agile development environments.
• Strong communication and collaboration skills with both technical and non-technical stakeholders.