1 results (1 new)

Group by company

Principal AI Platform Engineer – Agentic AI & MCP

Alfvo, LLC

Remote • Today

Easy Apply

Full-time

Depends on Experience

Job Details

Skills

MCP
AGENTIC AI
AI
PLATFORM
PRINCIPAL

Summary

Principal AI Platform Engineer – Agentic AI & MCP

Job Description

We are seeking a Principal AI Platform Engineer to serve as a founding engineer responsible for building and operating an enterprise AI platform and production-grade Agentic AI applications. This is a hands-on principal-level role where you will own the platform end-to-end, from Azure infrastructure and orchestration through evaluation, CI/CD, observability, and production operations.

You will establish the engineering standards, architecture, tooling, and development practices that will serve as the foundation for the growing AI engineering organization.

Key Responsibilities

Build and operate a governed Model Context Protocol (MCP) gateway and Azure AI environments.
Design and implement secure SAP identity passthrough and enterprise API integrations.
Build and own CI/CD pipelines for AI applications, models, and platform assets.
Develop AI evaluation frameworks including datasets, metrics, regression testing, and automated release gates.
Implement observability, telemetry, cost tracking, usage monitoring, and production diagnostics.
Build and deploy production LLM, RAG, and Agentic AI applications.
Own the first production AI use case and expand the platform to support retrieval, grounding, and agentic workflows.
Partner with enterprise integration teams while ensuring core AI platform capabilities remain in-house.
Establish engineering standards for repository structure, testing, deployment, security, and operational practices.
Provide technical leadership and mentoring as the AI engineering team grows.

Required Qualifications

10+ years of software engineering experience.
Strong Python and/or TypeScript development experience.
Deep experience with Microsoft Azure, including:
- Azure AI services
- Azure networking and identity
- Container platforms
- Infrastructure as Code using Terraform or Bicep
Hands-on experience building and operating production LLM or Agentic AI systems end-to-end.
Strong experience with RAG, retrieval, grounding, LLM orchestration, and AI agents.
Experience designing and implementing AI evaluation frameworks, including datasets, evaluation metrics, regression testing, and CI/CD release gates.
Strong CI/CD experience with GitHub Actions, Azure DevOps, or equivalent.
Experience designing identity-aware APIs and enterprise integrations.
Strong understanding of production software engineering, testing, deployment, monitoring, and incident response.
Experience using AI-assisted development tools such as Claude, Microsoft Copilot, or similar tools.

Preferred Qualifications

Hands-on Model Context Protocol (MCP) implementation experience.
SAP / ERP integration experience.
Experience with enterprise integration or iPaaS platforms.
Previous experience as a Technical Lead, Principal Engineer, or Engineering Lead.
Experience working in regulated, manufacturing, industrial, or enterprise environments.
Experience with Azure OpenAI / Azure AI Foundry or related Azure AI technologies.

What You'll Accomplish in Your First 90 Days

Establish the AI platform and MCP gateway in the enterprise Azure environment.
Support production traffic for the first AI use case.
Implement evaluation, observability, cost, and usage telemetry.
Establish engineering standards, development practices, and deployment patterns for the future AI engineering team.

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: 91093047
Position Id: 9089649
Posted 4 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Kishore Kumar

Recruiter @ Alfvo, LLC

View Profile

Create job alert

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

Remote

•

Today

Principal AI Engineer Position - Columbus, OH Location: Columbus, Ohio Duration: 6-12 Months - Remote (But periodic onsite visits at Columbus-OH ~ Estimated 10%, quarterly) Job Role: You'll be the founding engineer, building and operating the AI platform and the first production applications on it - end to end, from infrastructure and orchestration through evaluation and monitoring. The engineering standards you set - repository structure, testing, deployment patterns - become the foundation

Easy Apply

Contract

$DOE

AI Architecture & Engineering — AI Transformation/ Principal AI Engineer

Remote

•

2d ago

AI Architecture & Engineering AI Transformation/ Principal AI Engineer Remote Duration:12+ Months Rate DOE AI Transformation organization is building the company's enterprise AI capability on a vendor-agnostic, capability-based reference architecture: a governed enterprise MCP gateway, an Azure AI foundation, and a portfolio of production AI use cases anchored to business outcomes. You'll join the AI Architecture & Engineering team as one of its three founding members, shaping how a global

Easy Apply

Contract

Depends on Experience

AI Platform Engineer

Remote

•

2d ago

Platform Engineer Agentic AI & Developer Platforms We are seeking an experienced Platform Engineer to join a high impact engineering team focused on building next generation AI powered developer platforms. This role will play a critical part in designing, developing, and operationalizing internal AI agent platforms, MCP servers, automation frameworks, and developer tooling that enable engineering teams to build and deploy software more effectively. The ideal candidate brings hands on experience

Easy Apply

Contract

Depends on Experience

Senior AI Engineer with Microsoft Azure

Remote

•

Today

We are looking for a Senior AI Engineer with Microsoft Azure expertise to take validated prototypes and make them survive production: evals, guardrails, security, cost and scale. You will build agentic systems on the Azure stack and code AI-first every day, with the commits to prove it. We value an 80% mindset and 20% skills approach - frameworks change quarterly, and we don't hire for one. What we can't teach is evaluation-driven engineering discipline and the honesty to say what a demo hides.

Full-time

Job Details

Skills

MCP
AGENTIC AI
AI
PLATFORM
PRINCIPAL

Summary

Principal AI Platform Engineer – Agentic AI & MCP

Job Description

You will establish the engineering standards, architecture, tooling, and development practices that will serve as the foundation for the growing AI engineering organization.

Key Responsibilities

Build and operate a governed Model Context Protocol (MCP) gateway and Azure AI environments.
Design and implement secure SAP identity passthrough and enterprise API integrations.
Build and own CI/CD pipelines for AI applications, models, and platform assets.
Develop AI evaluation frameworks including datasets, metrics, regression testing, and automated release gates.
Implement observability, telemetry, cost tracking, usage monitoring, and production diagnostics.
Build and deploy production LLM, RAG, and Agentic AI applications.
Own the first production AI use case and expand the platform to support retrieval, grounding, and agentic workflows.
Partner with enterprise integration teams while ensuring core AI platform capabilities remain in-house.
Establish engineering standards for repository structure, testing, deployment, security, and operational practices.
Provide technical leadership and mentoring as the AI engineering team grows.

Required Qualifications

10+ years of software engineering experience.
Strong Python and/or TypeScript development experience.
Deep experience with Microsoft Azure, including:
- Azure AI services
- Azure networking and identity
- Container platforms
- Infrastructure as Code using Terraform or Bicep
Hands-on experience building and operating production LLM or Agentic AI systems end-to-end.
Strong experience with RAG, retrieval, grounding, LLM orchestration, and AI agents.
Experience designing and implementing AI evaluation frameworks, including datasets, evaluation metrics, regression testing, and CI/CD release gates.
Strong CI/CD experience with GitHub Actions, Azure DevOps, or equivalent.
Experience designing identity-aware APIs and enterprise integrations.
Strong understanding of production software engineering, testing, deployment, monitoring, and incident response.
Experience using AI-assisted development tools such as Claude, Microsoft Copilot, or similar tools.

Preferred Qualifications

Hands-on Model Context Protocol (MCP) implementation experience.
SAP / ERP integration experience.
Experience with enterprise integration or iPaaS platforms.
Previous experience as a Technical Lead, Principal Engineer, or Engineering Lead.
Experience working in regulated, manufacturing, industrial, or enterprise environments.
Experience with Azure OpenAI / Azure AI Foundry or related Azure AI technologies.

What You'll Accomplish in Your First 90 Days

Establish the AI platform and MCP gateway in the enterprise Azure environment.
Support production traffic for the first AI use case.
Implement evaluation, observability, cost, and usage telemetry.
Establish engineering standards, development practices, and deployment patterns for the future AI engineering team.

Dice Id: 91093047
Position Id: 9089649
Posted 4 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Kishore Kumar

Recruiter @ Alfvo, LLC

View Profile

Create job alert

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

Remote

•

Today

Easy Apply

Contract

$DOE

AI Architecture & Engineering — AI Transformation/ Principal AI Engineer

Remote

•

2d ago

Easy Apply

Contract

Depends on Experience

AI Platform Engineer

Remote

•

2d ago

Easy Apply

Contract

Depends on Experience

Senior AI Engineer with Microsoft Azure

Remote

•

Today

Full-time

Principal AI Platform Engineer – Agentic AI & MCP

Skills

Summary

Principal AI Platform Engineer – Agentic AI & MCP

Job Description

Key Responsibilities

Required Qualifications

Preferred Qualifications

What You'll Accomplish in Your First 90 Days

Dice Job Match Score™

Kishore Kumar

Similar Jobs

Principal AI Platform Engineer – Agentic AI & MCP

Job Details

Skills

Summary

Principal AI Platform Engineer – Agentic AI & MCP

Job Description

Key Responsibilities

Required Qualifications

Preferred Qualifications

What You'll Accomplish in Your First 90 Days

Dice Job Match Score™

Kishore Kumar

Similar Jobs