AI Architect – Remote

Smart It Frame

US (Remote)
  • Full Time

To apply for this job please visit smartitframe.com.

Key Responsibilities

1. Agentic SDLC Architecture

  • Design and implement end-to-end AI-driven SDLC pipelines using autonomous and semi-autonomous agents.
  • Enable agents to support requirements analysis, code generation, code review, testing, and deployment workflows.

2. GitHub Copilot Agent Engineering

  • Configure and extend GitHub Copilot agents, custom instructions, and skills.
  • Automate repetitive engineering tasks and enforce organizational coding standards.
  • Improve developer productivity through intelligent AI assistance across teams.

3. Multi-Agent System Design

  • Build scalable multi-agent ecosystems with defined roles such as planner, coder, reviewer, and test agents.
  • Define orchestration, coordination, and handoff mechanisms to ensure reliable outputs.
  • Ensure deterministic and traceable agent behavior.

4. AI-Driven Code Quality & Governance

  • Integrate AI agents with tools such as SonarQube, CodeRabbit, and similar platforms.
  • Enforce quality gates, security checks, and coding standards within CI/CD pipelines.
  • Provide real-time feedback on code quality and vulnerabilities.

5. AI-Powered Automated Testing

  • Use AI agents to generate unit tests, integration tests, BDD scenarios (Gherkin/Cucumber), and test data.
  • Continuously improve test coverage with minimal manual intervention.

6. Prompt Engineering & Agent Skills Development

  • Design reusable, parameterized prompts and domain-specific agent skills.
  • Tailor AI behavior for enterprise contexts such as microservices, banking APIs, and cloud-native systems.

7. Architecture & Design Support

  • Leverage AI agents to generate architecture diagrams, ADRs, API contracts, and technical documentation.
  • Ensure alignment with organizational design and engineering standards.

8. Engineering Governance & Best Practices

  • Define standards for AI-assisted development, including prompt governance and output validation.
  • Implement observability for agents and guardrails for hallucination mitigation.
  • Establish human-in-the-loop review processes for critical workflows.

9. Platform Engineering Integration

  • Embed AI agents into internal developer platforms (IDPs) and self-service engineering toolchains.
  • Enable reusable AI-powered workflows across engineering teams.

10. Innovation & Continuous Improvement

  • Stay current with emerging frameworks such as LangGraph, AutoGen, CrewAI, and Copilot Extensions.
  • Lead proof-of-concepts and drive adoption of new AI engineering practices across teams.

Required Skills & Experience

  • Hands-on experience with GitHub Copilot, Copilot Chat, and Copilot Extensions/Agents
  • Experience building multi-agent systems using frameworks such as LangGraph, AutoGen, or CrewAI
  • Strong software engineering background in at least one major stack (Java/Spring, Python, or Node.js)
  • Solid understanding of CI/CD pipelines, DevSecOps, and quality engineering practices
  • Experience with prompt engineering, RAG architectures, and LLM-based applications
  • Knowledge of SDLC governance, testing strategies, and code quality standards
Job Overview