Lead AI Engineer/Developer

GDH; United States; Remote; USD 146,000 - 166,000; Full time

Job summary

GDH is seeking an AI Engineer/Developer to design, deploy, govern, and optimize enterprise AI solutions with a focus on Azure AI Foundry and Microsoft ecosystem integrations.

You will build agentic AI workflows, integrate with data, security, identity services, and establish standards for prompt engineering and evaluation to demonstrate business value.

This fully remote role offers collaboration with stakeholders and opportunities for continuous improvement in regulated environments.

Qualifications

• Experience managing enterprise AI environments in secure or regulated settings.
• Hands-on deployment/operation of AI solutions using Azure AI Foundry, including agentic workflows and evaluation pipelines.
• Translate business requirements into deployed AI capabilities.
• Experience with Microsoft Copilot ecosystem and integrations with Azure services.
• Strong understanding of AI governance, security, privacy, and responsible AI practices.
• Excellent communication, problem-solving, and change-management skills.
• Proficiency with Python, TypeScript/JavaScript, or similar for AI agents and enterprise integrations.

Responsibilities

• Deploy and operate AI solutions using Azure AI Foundry, including model orchestration and evaluation pipelines.
• Design and manage agentic AI solutions with multi-step workflows and autonomous orchestration.
• Develop AI capabilities across Microsoft Azure data, security, identity and AI services.
• Integrate AI with governance, cybersecurity, privacy, and data classification policies.
• Collaborate with AI architects to refine AI solutions and establish prompt engineering standards.
• Measure deployments to show business value and opportunities for improvement.
• Create architecture diagrams documenting AI system designs, data flows, and integrations.
• Manage deployment lifecycles, updates, versioning, and remediation.
• Communicate complex technical concepts to audiences with varied expertise.

Skills

Enterprise AI

Azure AI Foundry

Agentic workflows

Governance & security

Python/TypeScript/JavaScript

Communication

Education

Bachelor's or higher in CS/EE or related field

Tools

Python

TypeScript/JavaScript

Job description

Role Summary

The AI Engineer/Developer is a senior technical professional responsible for designing, deploying, governing, and optimizing enterprise AI solutions within secure and regulated environments. This role focuses on Azure AI technologies, Microsoft ecosystem integrations, agentic AI solutions, and responsible AI practices. The position collaborates with technical and business stakeholders to develop scalable AI capabilities while supporting security, privacy, governance, and operational requirements.

Responsibilities

• Deploy, configure, and operate AI solutions using Azure AI Foundry, including model orchestration, evaluation pipelines, and responsible AI controls.
• Design and manage agentic AI solutions, including multi-step workflows, tool-enabled agents, and autonomous orchestration patterns.
• Develop and implement enterprise AI capabilities across Microsoft Azure data, security, identity, and AI services.
• Integrate AI solutions with enterprise governance frameworks, cybersecurity requirements, privacy standards, and data classification policies.
• Collaborate with AI architects and technical stakeholders to design, refine, and optimize AI solutions and establish standards for prompt engineering and use-case evaluation.
• Measure and evaluate AI deployments to demonstrate business value, performance, and opportunities for continuous improvement.
• Develop detailed architecture diagrams documenting AI system designs, data flows, integrations, and system interactions.
• Manage AI solution deployment lifecycles, including updates, versioning, change management, and vulnerability remediation.
• Communicate technical concepts clearly to audiences with varying levels of technical expertise and present AI capabilities, performance, and outcomes.
• Optimize AI solutions through model refinement, prompt enhancement, performance tuning, and ongoing capability improvements.

Qualifications

• Experience managing enterprise AI environments within secure or regulated settings.
• Hands-on experience deploying and operationalizing AI solutions using Azure AI Foundry, including agentic workflows and evaluation pipelines.
• Experience translating business requirements and use cases into deployed AI capabilities.
• Experience with the Microsoft Copilot ecosystem, including Microsoft 365 Copilot, Copilot Studio, Security Copilot, and integrations with Azure data, security, and identity services.
• Strong understanding of AI governance, compliance, security, privacy, and responsible AI practices.
• Strong communication, problem-solving, and change management skills.
• Proficiency with Python, TypeScript/JavaScript, or similar technologies for developing AI agents, APIs, and enterprise integrations.
• Relevant education, training, certifications, or equivalent practical experience.

Publishing Pay Range: $70.00 - $80.00 USD Hourly
This is a fully remote role and can be performed from an approved location.