Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted yesterday

Principal AI Cloud Architect – Azure Cloud

SirsiDynix211 open roles

Pay
$140,000 – $170,000 a year
Where
North Carolina United States
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowPrincipal AI Cloud Architect – Azure CloudSirsiDynix · North Carolina United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on SirsiDynix's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. SirsiDynix postings stay open a median of 39 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted yesterday

SirsiDynix median: 39 days open

The posting

Job Title: Principal AI Cloud Architect – Azure Cloud

Location: US (Remote)

Employment Type: Full-time

Job Description

We are seeking a seasoned Principal AI Cloud Architect to lead the shift of our Cloud business unit to an AI-first operating model. This role will build and lead a small team of engineers focused on designing, deploying, and running AI agents that manage, monitor, and optimize our Cloud infrastructure in Microsoft Azure. It is also client-facing. You will help clients adopt AI-driven Cloud operations and work closely with development teams to deliver enterprise-grade solutions.

The ideal candidate is an expert in Azure architecture with hands-on experience building production agentic AI systems. They also bring deep knowledge of data platforms (including Databricks), Cloud networking, identity and access management, and operational excellence. They will set the AI strategy for the Cloud business unit and turn it into working agents that reduce manual effort, improve reliability, and keep Cloud environments secure, compliant, and cost-effective.

Key Responsibilities

  • Define and drive the AI strategy and roadmap for the Cloud business unit, moving infrastructure operations from manual and script-based processes to agent-driven automation
  • Build, lead, and mentor a team of 2–6 AI and Cloud engineers responsible for designing, developing, and operating AI agents in production
  • Architect multi-agent systems for AIOps, including anomaly detection, event correlation, ITSM ticket triage, and self-healing runbooks that reduce mean time to detect (MTTD) and mean time to resolve (MTTR)
  • Lead the design of agents that generate, review, and validate Infrastructure as Code (Terraform, Bicep), with policy checks and automated validation built into CI/CD pipelines before changes reach production
  • Develop FinOps agents that identify cost anomalies, rightsizing opportunities, and idle resources, and act on them within defined guardrails
  • Design security and compliance agents for posture assessment, configuration drift detection, and automated collection of audit evidence
  • Establish AI governance for agent operations, including human-in-the-loop approvals, access controls, guardrails, audit logging, and responsible AI practices suited to a regulated healthcare environment
  • Partner with business stakeholders, clients, and engineering teams to define and architect end-to-end Cloud and AI solutions aligned with strategic objectives
  • Lead architecture for data and analytics platforms, including Azure Databricks and the data foundations that support AI workloads
  • Drive operational excellence, including monitoring, logging, observability, resiliency, and disaster recovery, for both Cloud platforms and the agents that run on them
  • Establish and promote architecture standards, reusable agent patterns, and reference architectures across the organization
  • Translate complex technical concepts into clear business value for clients and executive stakeholders, including measurable outcomes from AI adoption
  • Evaluate emerging AI technologies, frameworks, and models, and keep improving the organization’s Cloud and AI capabilities and innovation roadmap

Required Qualifications

  • 15+ years of experience in IT, with at least 10 years focused on Cloud architecture (Azure preferred)
  • 3+ years of hands-on experience with AI/ML, including at least 2 years building and deploying LLM-based or agentic AI solutions in production
  • Experience leading and developing engineering teams, including hiring, coaching, and setting technical direction
  • Hands-on experience with Azure AI Foundry, Azure OpenAI, and agent frameworks
  • Working knowledge of agent design patterns, including tool use, multi-agent orchestration, retrieval-augmented generation (RAG), and Model Context Protocol (MCP)
  • Experience applying AI or automation to Cloud operations (AIOps, automated remediation, IaC generation, FinOps, or security posture management)
  • Proven track record of working directly with clients and cross-functional development teams to deliver enterprise solutions
  • Deep expertise in Microsoft Azure services, including compute, storage, security, and platform services
  • Hands-on experience with Azure Databricks and modern data architecture (data lakes, ETL/ELT, streaming, lakehouse)
  • Strong communication and presentation skills, with the ability to influence both technical and executive stakeholders

Preferred Qualifications

  • Experience with AWS or Google Cloud in addition to Azure
  • Experience in healthcare or other regulated industries, including HIPAA and handling protected health information (PHI)
  • Familiarity with AI governance frameworks such as the NIST AI Risk Management Framework
  • Experience with LLMOps practices, including agent evaluation, prompt and model versioning, and monitoring agent behavior in production
  • Relevant certifications such as Azure Solutions Architect Expert or Azure AI Engineer Associate

Core Competencies

  • Excellent communication skills with the ability to explain complex technical and AI concepts to both technical and non-technical audiences
  • Ability to provide clear and concise status reports against roadmap and overall adoption strategy
  • Strong leadership skills, with the ability to build a team, set clear direction, and develop people
  • Strong collaboration skills and ability to work effectively with clients, stakeholders, and cross-functional teams
  • Client-focused mindset with the ability to build trusted relationships and deliver solutions aligned to business goals
  • Strong analytical and problem-solving skills with the ability to make sound decisions in complex environments
  • Pragmatic approach to AI adoption, balancing innovation with security, reliability, and risk
  • Highly organized and results-driven, with the ability to manage multiple priorities and meet deadlines
  • Commitment to quality, operational excellence, and continuous improvement

Travel

Up to 20% travel may be required for client meetings, project work, or team collaboration

Our company complies with all local/state regulations in regard to displaying salary ranges. If required, the salary range(s) are displayed below and are specifically for those potential hires who will perform work in or reside in the location(s) listed, if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data, ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD, technology), for example.

Salary range: $140,000 - $170,000 USD. The salary range reflects the anticipated base salary for this position at the time of posting. Final compensation may vary based on factors including experience, skills, education

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against SirsiDynix's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on SirsiDynix's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    SirsiDynix's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.