# Sira Consulting — Principal Architect - Generative AI

- Generated: 2026-09-19 08:51:29 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4469256066/
- Provider: LinkedIn
- Posted: approximately 2026-09-18 05:51 PM EDT (from '15 hours ago')
- Elapsed since posting: represented by the provider's relative posting label and approximate Eastern timestamp when available
- Applicants: Be among the first 25 applicants
- Work model/location: Remote — United States; contract
- Compensation: Not disclosed; Principal title does not qualify for the undisclosed-compensation exception
- Travel: Not disclosed
- Positioning track: Technical IC
- Fit outcome: FAIL — 74%

## Direct-match strengths

Production GenAI, agentic AI, Python, GCP/Vertex, RAG, vector databases, LangGraph, APIs, microservices, enterprise architecture, customer advisory, governance, observability, and team mentoring.

## Hard or material gaps

Hard compensation gate for a contract Principal role with no disclosed annual compensation. Additional required-stack gaps include CrewAI/ADK, Gemini-led delivery, Dialogflow CX/CCAI/CES conversational-AI depth, and preferred telecom/contact-center specialization.

## Evidence map

1. Production GenAI and agentic architecture (weight 3, evidence 3/3) — Direct production LLM, agents, RAG, MCP, and architecture.
2. Python and API/microservice delivery (weight 3, evidence 3/3) — Direct hands-on evidence.
3. GCP, Vertex AI, and Gemini (weight 3, evidence 2/3) — Vertex exposure is direct; Gemini-led platform ownership is less established.
4. LangGraph, CrewAI, and ADK (weight 2, evidence 1/3) — LangGraph is direct; CrewAI and ADK are not documented.
5. Dialogflow CX, CCAI, CES, contact center (weight 3, evidence 1/3) — Contact-center and Amazon Connect are direct; named Google conversational stack is unsupported.
6. Qualifying compensation disclosure (weight 3, evidence 0/3) — No annual pay disclosed for a Principal contract role.

## Keyword diagnostic

Strong GenAI architecture and agent/RAG overlap, rejected by undisclosed compensation for a non-qualifying Principal contract role and several required GCP/conversational-AI stack gaps.

## Full normalized job description

Title: Principal Architect – Generative AI
Location: Remote, USA
Duration: Contract
Experience: Must be 15+ Years experience
Role Summary:
Seeking a Principal Architect – Generative AI with 15+ years of experience to lead the design and delivery of enterprise-scale GenAI, Conversational AI, and Agentic AI solutions on cloud platforms.
Key Responsibilities:
Architect and deliver production-grade GenAI and Agentic AI solutions.
Design multi-agent systems using LangGraph, CrewAI, ADK, and RAG architectures.
Integrate AI solutions with enterprise applications, APIs, and data platforms.
Lead technical discovery sessions and advise customers on AI transformation.
Define AI observability, governance, performance, and security standards.
Mentor engineering teams and drive best practices for AI adoption.
Must-Have Skills
15+ years in Software Engineering/Architecture
Generative AI & Agentic AI
Python
GCP, Vertex AI, Gemini
RAG & Vector Databases
LangGraph / CrewAI / ADK
Conversational AI (Dialogflow CX, CCAI, CES)
API Integration & Microservices
Enterprise Solution Architecture
Customer-facing leadership experience
Preferred
Master's/PhD in CS, AI, or related field
Telecom or Contact Center domain experience
Experience delivering large-scale AI programs end-to-end

## Artifact metadata

- Resume: Not generated because the fit gate returned FAIL.
- Cover letter: Not generated because the fit gate returned FAIL.
- LinkedIn note: Not generated for a FAIL role.
- Google Drive used: No