AI Sr Developer

About the Role

We are seeking an AI Sr Developer to join our team in Houston, TX, in a hybrid onsite role. This position involves designing and implementing enterprise-grade Agentic AI development platforms, leading the organizational adoption of GitHub Copilot, integrating AI models, and developing full-stack AI-native applications.

Responsibilities

• 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 multi-agent, 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, CI/CD 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 third-party 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 GitHub, Jira, ServiceNow, SharePoint, Confluence, databases, APIs, and 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 agent orchestration, tool execution, workflow management, knowledge retrieval, governance, and monitoring.
  • Technologies: Frontend – Angular, TypeScript; Backend – .NET, Node.js, Python, REST APIs, GraphQL.
• Platform DevOps Automation:
  • Build AI platform CI/CD pipelines.
  • Automate provisioning of AI development environments.
  • Implement Infrastructure as Code using GitHub Actions.
  • Establish environment management for development, test, and production.
  • Create self-service developer onboarding capabilities.
• Security & Governance:
  • Implement enterprise AI governance controls.
  • Define model access management and approval workflows.
  • Implement guardrails for prompt security, data protection, compliance, and responsible AI.
  • Ensure enterprise alignment with security and architecture standards.
• Observability & Operations:
  • Implement monitoring and telemetry for agent performance, tool usage, token consumption, cost management, and model quality.
  • Establish AIOps capabilities and operational dashboards.
  • Support platform reliability and scalability objectives.

Qualifications

Actual compensation within the range will be dependent upon the individual's skills, experience, performance, and internal equity.

Benefits

• Comprehensive Medical Plan covering Medical, Dental, Vision
• Short-Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

The range displayed reflects the minimum and maximum salary target for the position across all US locations. Individual pay is determined by work location, job level, and additional factors including job-related skills, experience, and relevant education or training. Other forms of compensation may include an annual performance-based bonus, sales incentive pay, and other variable compensation.