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Principal Architect, AI-Native Application Development

As a Principal Architect for AI-Native Application Development, you will define and lead the architecture for AI- assisted and agent-enabled software delivery. You will establish Claude Code and other approved AI harnesses as governed engineering capabilities, wired into enterprise knowledge, repositories, JIRA, testing, CI/CD, and operational feedback.

Mail us at: careers@saarthee.com

  • United States (Remote)
  • Remote – open to US-based candidates only
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Why Join Us

About Saarthee:

Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. Our diverse and global team work with one objective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India.

Position Summary

Location: United States (Remote)
Work Mode: Remote – open to US-based candidates only
Min-Max Experience: 12+ Years
Work Authorization: Must be authorized to work in the US without current or future visa sponsorship

As a Principal Architect for AI-Native Application Development, you will define and lead the architecture for AI-
assisted and agent-enabled software delivery. You will establish Claude Code and other approved AI harnesses
as governed engineering capabilities, wired into enterprise knowledge, repositories, JIRA, testing, CI/CD, and
operational feedback.

This role is responsible for taking Application Development (AD) from harness-driven coding to closed-loop,
agent-run pipelines. We are looking for an architect with a strong background in cloud-native and DevSecOps
solutions who can lead architects and engineers across multiple delivery teams.

Your Role Responsibilities and Duties:

  • AI-Native SDLC Architecture: Define the target architecture and roadmap across story analysis, design,
    coding, testing, review, and release, and set clear boundaries between assisted and autonomous work.
  • Engineering Knowledge & Context: Govern the engineering knowledge foundation (JIRA, code, wikis,
    tests, and CI/CD evidence) with RAG, lineage, and citation standards.
  • Developer Agent Architecture: Design and govern agents for design, code generation, code review,
    unit/functional/regression testing, and pipeline remediation.
  • MCP & Tool Integration: Define Model Context Protocol (MCP) standards for JIRA, GitHub/GitLab,
    SonarQube, CI/CD, and security tools, with safe read/write action tiers.
  • Quality, Security & Governance: Set evaluation and release gates; guard against secret exposure,
    insecure code, and prompt injection; and define human-review and kill-switch patterns.
  • Adoption & Leadership: Build application-readiness roadmaps, mentor AI agent engineers, and tie
    adoption to measurable speed, quality, and cost outcomes.

Required Skills and Qualifications:

  • 12+ years in software engineering, architecture, platform engineering, or application modernization.
  • 5+ years designing cloud-native, DevSecOps, or large-scale development solutions.
  • Experience leading architects and engineers across multiple teams.
  • Practical experience with generative AI, developer assistants, or AI agents.
  • Expertise in enterprise architecture and modern application development.
  • Strong experience with APIs, microservices, automated testing, CI/CD, and DevSecOps.
  • Working knowledge of Claude Code or similar AI coding tools.
  • Knowledge of MCP or similar enterprise tool integrations.
  • Experience with GitHub/GitLab, Jira, and code-quality and CI/CD platforms.

Preferred Qualifications:

  • Degree in Computer Science, Engineering, or Information Systems.
  • Experience with LangGraph, LangChain, ADK, Semantic Kernel, or AutoGen.
  • Experience with GitHub Copilot, Gemini, Devin, or other enterprise AI platforms.
  • Certification in cloud, security, DevOps, or SRE.
  • Experience in telecom or large enterprises.

Mandatory Skills:

Software Architecture, Cloud-Native & Microservices, DevSecOps & CI/CD, Claude Code (or comparable AI coding harness), MCP, GitHub/GitLab, JIRA

What We Offer:

  • Bootstrapped, financially stable company with a high pre-money valuation.
  • Above-industry compensation.
  • Additional compensation for renewals and pilot project execution.
  • Attractive business development incentives.
  • Opportunity to work with industry experts on data-driven strategy.
  • Opportunities to help build the company, grow professionally, and develop your personal brand.
  • Empathetic, results-focused culture that values excellence, mentoring, and continuous learning.