AI Architect

Remote • Posted 6 hours ago • Updated 6 hours ago

Full Time

No Travel Required

Remote

$85 - $95/hr

Process Q

Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

.NET
API
API Management
Amazon Web Services
ASP.NET
Artificial Intelligence
C#
Continuous Delivery
Machine Learning Operations (ML Ops)

Summary

AI Architect

.NET Background | Azure or Google Cloud Platform or AWS

Location: Remote / Hybrid | Type: Full-Time or Contract

About the Role

We are looking for a seasoned AI Architect with deep roots in the Microsoft/.NET ecosystem, strong cloud experience on Azure or Google Cloud Platform, and hands-on proficiency with AI-assisted development tooling as part of a modern, accelerated SDLC. You will design and scale AI-native systems while embedding intelligent developers tooling into every phase of the software delivery lifecycle.

Key Responsibilities

Architect end-to-end AI solutions leveraging Azure AI Services or Google Cloud Platform Vertex AI / Gemini API

Champion and operationalize AI coding tools across the engineering organization to accelerate development, code review, testing, and documentation workflows

Define AI-assisted SDLC patterns: code generation guardrails, prompt standards, review workflows, and quality gates

Design and implement LLM-powered applications including RAG pipelines, AI agents, and multi-model orchestration workflows

Lead technical design for AI integrations into existing .NET / C# applications and microservices

Define patterns for prompt engineering, context management, embedding pipelines, and vector search

Evaluate and select AI tooling including orchestration frameworks (Semantic Kernel, LangChain.NET), vector databases, and observability platforms

Establish AI development standards, guardrails, cost governance models, and evaluation frameworks

Drive responsible AI practices: safety, bias mitigation, and model lifecycle management

Partner with product, data, and platform engineering teams to align AI capabilities with business outcomes

Mentor engineers on AI-native development practices and effective use of AI coding tools in day-to-day workflows

Required Qualifications

10+ years of software engineering experience with 3+ years in AI/ML architecture

Expert-level proficiency in C# and the .NET ecosystem (.NET 6/7/8, ASP.NET Core, Azure Functions)

Hands-on production experience on at least one of the following:

Azure: Azure OpenAI Service, Azure AI Studio, Azure Cognitive Services, AKS, API Management

Google Cloud Platform: Vertex AI, Gemini API, Google Cloud AI Services, GKE, Cloud Run, Apigee

Demonstrated experience with AI-assisted development tooling in a professional SDLC context, using one or more of the following:

Claude Code, GitHub Copilot, Cursor, Amazon Kiro, Tabnine, or equivalent

AI tooling for code generation, refactoring, debugging, test authoring, and documentation

Integrating AI coding tools into CI/CD pipelines and team developer workflows

Establishing team-level standards and best practices for AI-assisted development

Proven track record building production LLM applications: RAG, agents, tool use, function calling

Strong command of Semantic Kernel or comparable .NET-native AI orchestration frameworks

Experience with vector databases such as Azure AI Search, Vertex AI Vector Search, Pinecone, Weaviate, or Qdrant

Solid grounding in cloud-native architecture: containerization, API gateway patterns, event-driven design, and managed services

Preferred Qualifications

Experience integrating AI coding tools with GitHub Actions, Azure DevOps, or Cloud Build pipelines

Exposure to Python-based ML tooling (LangChain, LlamaIndex, Hugging Face) with ability to bridge into .NET environments

Experience with MLOps practices: model versioning, CI/CD for AI, and drift monitoring via Azure ML or Vertex AI Pipelines

Familiarity with multi-agent frameworks and agentic workflow design

Experience measuring SDLC productivity improvements from AI tooling adoption: cycle time, defect rate, PR throughput

Prior experience in regulated industries (finance, healthcare, government) a strong plus

Relevant certifications (any of the following):

Azure Solutions Architect Expert

Azure AI Engineer Associate

Google Cloud Platform Professional Cloud Architect

Google Cloud Platform Professional ML Engineer

What You Bring

A strong point of view on how AI tooling changes the role of the architect and the engineer

Ability to operate at both the whiteboard and the IDE

Clear, executive-level communication for presenting AI strategy and architecture decisions

A practical, outcome-driven mindset: you measure impact, not just adoption

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91172230
Position Id: 16001
Posted 6 hours ago

Company Info

About Process Q

At ProcessQ, we believe in the power of technology to drive meaningful change. It fuels our passion and commitment to help organizations not just meet, but exceed their goals. When we partner with you, we don’t just bring technical expertise—we bring fresh, innovative ideas that elevate your performance, refine your strategies, and inject new energy into your business.

The future belongs to those who build, connect, and transform the world around them. The most successful and forward-thinking businesses are already doing this—and we’re here to ensure you’re part of that movement. With our skilled experts, we assemble the right teams, provide the tools, and deliver the support your business needs to thrive in this evolving digital landscape.

Go to company profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

AI Architect.

Remote

•

Today

Hi,Please find below Job description and send me your Updated ResumeAI ArchitectRemoteAbout the RoleWe are looking for a seasoned AI Architect with deep roots in the Microsoft/.NET ecosystem, strong cloud experience on Azure or Google Cloud Platform, and hands-onproficiencywith AI-assisted development tooling as part of a modern, accelerated SDLC. You will design and scale AI-native systems while embedding intelligentdeveloperstoolinginto every phase of the software delivery lifecycle.Key Respon

Easy Apply

Contract, Third Party

75 - 85

Search all similar jobs