Role description
Job Title: AI Sr Developer
Location : Houston, TX (Onsite - Hybrid)
Job Description:
• Agentic AI Platform Engineering Design and implement enterprise grade Agentic AI development platforms
• Establish secure environments for developing testing and deploying AI agents
• Build reusable frameworks SDKs templates and accelerators for rapid AI solution delivery
• Create agent development standards workflows and governance frameworks
• Enable multiagent human in the loop and autonomous agent architectures GitHub Copilot AI Coding Ecosystem
• Lead organizational adoption of GitHub Copilot Copilot Workspace and coding agents
• Build enterprise guardrails for AI assisted software development
• Develop reusable prompts instructions coding standards and agent workflows
• Integrate Copilot with enterprise repositories CICD pipelines and development workflows
• Enable AI driven SDLC practices including code generation testing documentation and code reviews
• AI Model Foundry Integration Integrate Azure AI Foundry Azure OpenAI Open Source Models and thirdparty LLM providers
• Architect model routing and orchestration strategies across multiple models
• Develop reusable APIs and services for model consumption Implement RAG memory management agent planning and tool execution capabilities
• Optimize model performance quality latency and cost MCP Server Integration Design and implement Model Context Protocol MCP architectures
• Develop and integrate MCP servers exposing enterprise systems and knowledge sources
• Connect AI agents with
o GitHub
o Jira
o ServiceNow
o SharePoint
o Confluence
o Databases
o APIs
o Internal business systems
• Establish secure context sharing mechanisms across agents and enterprise tools Full Stack Development
• Develop AI native web applications and agent management portals
• Build reusable frontend components and developer dashboards Develop backend services for
o Agent orchestration
o Tool execution
o Workflow management
o Knowledge retrieval
o Governance and monitoring Frontend Angular TypeScript Backend NET Nodejs Python REST APIs GraphQL Platform DevOps Automation
• Build AI platform CICD pipelines Automate provisioning of AI development environments
• Implement Infrastructure as Code using o GitHub Actions
• Establish environment management for development test and production
• Create self-service developer onboarding capabilities Security Governance Responsible AI Implement enterprise AI governance controls
• Define model access management and approval workflows Implement guardrails for
o Prompt security
o Data protection
o Compliance
o Responsible AI
• Ensure enterprise alignment with security and architecture standards
• Observability Operations Implement monitoring and telemetry for
o Agent performance
o Tool usage
o Token consumption
o Cost management
o Model quality Establish AIOps capabilities and operational dashboards Support platform reliability and scalability objectives
