Principal, Software Architect (AI)

The Planet Group; New Jersey; Remote; USD 180.000 - 240.000; Vollzeit

Zusammenfassung

The Planet Group is seeking a hands-on Principal Software Architect for Generative AI to design and code production-grade GenAI solutions in a remote setup. You will lead the architecture, build AI pipelines, and partner with cross-functional teams to translate business needs into scalable AI systems.

You will write Python, implement LLM/RAG, AI agents, and ensure robust testing, security, and deployment practices. This is a senior, hands-on role requiring strong communication and mentorship.

Qualifikationen

• Strong experience in Software/Solution Architecture and hands-on AI engineering.
• Recent experience developing production Generative AI / LLM applications.
• Experience with RAG / Retrieval-Augmented Generation.
• Experience building AI agents, agentic workflows, and tool-calling solutions.
• Strong APIs, SQL, enterprise data integration, and automated testing.
• Proven track record taking AI applications from prototype to production.
• Experience with AI/LLM evaluation, testing, and failure analysis.
• Cloud deployment, CI/CD, monitoring, security and access controls.

Aufgaben

• Architect and build enterprise Generative AI / LLM solutions.
• Develop hands-on solutions using Python, APIs, SQL, RAG, and AI agents.
• Build retrieval pipelines, agent workflows, tool integrations, and reference implementations.
• Take AI prototypes from POC through production deployment.
• Develop automated testing and AI/LLM evaluation frameworks.
• Implement security controls, access management, audit trails, and human-in-the-loop workflows.
• Support CI/CD, cloud deployment, monitoring, troubleshooting, and production operations.
• Collaborate with Finance, Accounting, Product, and Engineering to translate requirements into technical solutions.
• Mentor engineers through architecture reviews, code reviews, pairing, and knowledge transfer.
• Develop reusable architecture patterns, code, documentation, and engineering standards.

Kenntnisse

Software/Solution Architecture

Hands-on AI engineering

Production GenAI apps

RAG / retrieval-augmented generation

AI agents & agent workflows

APIs

SQL

CI/CD & cloud deployment

Mentoring & reviews

Security & access controls

Tools

Python

APIs

SQL

RAG frameworks

Agent frameworks

Jobbeschreibung

Principal Software Architect – Generative AI

Location: Remote

Duration: 6+ Months

About the Role

We are seeking a Principal Software Architect / AI Solutions Architect with strong hands-on experience designing and building production-ready Generative AI solutions.

This is a hands-on architecture role, not purely a design or strategy position. The ideal candidate will have recent experience writing Python, building LLM/RAG and AI agent solutions, integrating enterprise systems, and deploying AI applications into production.

Key Responsibilities

• Architect and build enterprise Generative AI / LLM solutions.
• Develop hands-on solutions using Python, APIs, SQL, RAG, and AI agents.
• Build retrieval pipelines, agent workflows, tool integrations, and reference implementations.
• Take AI prototypes and solutions from POC through production deployment.
• Develop automated testing and AI/LLM evaluation frameworks for accuracy, groundedness, retrieval quality, and regression testing.
• Implement security controls, access management, audit trails, and human-in-the-loop approval workflows.
• Support CI/CD, cloud deployment, monitoring, troubleshooting, and production operations.
• Work closely with Finance, Accounting, Product, and Engineering teams to translate business requirements into technical solutions.
• Mentor engineers through architecture reviews, code reviews, pairing, and knowledge transfer.
• Develop reusable architecture patterns, code, documentation, and engineering standards.

Required Skills

• Strong experience in Software/Solution Architecture and hands-on AI engineering.
• Recent experience personally developing production Generative AI / LLM applications.
• Experience with RAG / Retrieval-Augmented Generation.
• Experience building AI agents, agentic workflows, and tool-calling solutions.
• Strong experience with APIs, SQL, enterprise data integration, and automated testing.
• Experience taking AI applications from prototype to production.
• Experience with AI/LLM evaluation, testing, and failure analysis.
• Experience with cloud deployment, CI/CD, monitoring, security, and access controls.
• Strong communication, architecture, and technical mentoring skills.

Preferred Skills

• Dynamics 365 Finance & Operations
• Vector / hybrid search
• Agent orchestration frameworks
• Structured outputs and tool calling
• Finance, Accounting, or ERP domain experience

Ideal Candidate

A hands-on GenAI Architect who can both design and code, with strong experience in Python + LLMs + RAG + AI Agents + production deployments, preferably within the Microsoft Azure ecosystem.