AI Sr Developer

Job Title : AI Sr Developer

Location : Houston, TX (4-days Onsite - Hybrid)

Type: Contract

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