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

Open nowPosted yesterday

AI Engineer

STV381 open roles

Pay
$95,976 – $109,687 a year
Where
Empire State Building New York New York
Get the CV for this job

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

Your applicationOpen nowAI EngineerSTV · Empire State Building New York New York

  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 STV'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. STV postings stay open a median of 50 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

STV median: 50 days open

The posting

STV is seeking an AI Engineer to join our Digital Advisory team at our New York City, NY or Boston, MA offices. This is a hands-on, client-facing role focused on building and deploying AI agents, automations, and intelligent workflows using the Microsoft technology stack. You'll work directly alongside experienced engineers, solution architects, and client stakeholders to transform business challenges into practical AI solutions that deliver immediate value.

This role is ideal for an early-career engineer who is passionate about emerging AI technologies, enjoys solving complex problems, and wants to gain real-world experience delivering production systems for enterprise clients. You will be embedded within project teams, frequently collaborating onsite with clients, and will have the opportunity to rapidly develop both your technical and consulting skills.

Position Summary

As an AI Engineer I, you will contribute to the design, configuration, development, testing, and deployment of AI-powered solutions built on Microsoft's AI and data ecosystem. Working under the guidance of senior engineers and solution architects, you will help deliver AI agents, copilots, workflow automations, and data-driven applications that support clients across the Architecture, Engineering, and Construction (AEC) industry.

You will work directly with clients to understand business requirements, demonstrate solutions, troubleshoot issues, and translate technical concepts into clear, actionable outcomes. Success in this role requires technical curiosity, strong communication skills, professionalism in client settings, and a desire to continuously learn emerging AI technologies.

Key Responsibilities

AI Solution Development

  • Build, configure, test, and support AI agents, copilots, and intelligent workflows using Microsoft Copilot Studio, Azure AI Foundry, Power Platform, and Power Automate.
  • Assist in the development and deployment of AI-driven solutions that solve operational, business, and project delivery challenges.
  • Participate in solution design sessions and contribute ideas for improving performance, usability, and scalability.
  • Support the integration of AI capabilities into existing client platforms and business processes.
  • Develop and maintain prompts, knowledge sources, workflows, and agent configurations following established standards and best practices.

Client Delivery & Stakeholder Engagement

  • Participate in client-facing workshops, discovery sessions, and solution demonstrations.
  • Gather business and technical requirements directly from stakeholders and document findings.
  • Explain AI concepts, technical solutions, and implementation approaches in language accessible to non-technical audiences.
  • Troubleshoot issues during demonstrations, testing, and production deployments while maintaining professionalism and composure.
  • Support onsite client engagements as required throughout the project lifecycle.

Data & Platform Engineering

  • Develop and maintain data flows across Microsoft platforms including Dataverse, Microsoft Fabric, OneLake, SharePoint, and Microsoft 365.
  • Assist with data preparation, transformation, integration, and governance activities supporting AI solutions.
  • Support secure and scalable data architectures that enable effective AI and automation capabilities.
  • Collaborate with software engineers, data engineers, and architects to ensure successful solution delivery.

Engineering Excellence

  • Write clean, maintainable, and well-documented code and configurations.
  • Participate in code reviews, testing activities, and quality assurance processes.
  • Follow established development standards, naming conventions, security practices, and documentation requirements.
  • Contribute to technical documentation, deployment guides, runbooks, user guides, and knowledge-sharing materials.
  • Help execute user acceptance testing (UAT), collect feedback, and contribute to continuous improvement initiatives.

Professional Growth & Project Ownership

  • Take ownership of small features, enhancements, or workstreams from design through deployment.
  • Learn to estimate effort, manage tasks, and deliver work reliably against project timelines.
  • Stay current with emerging AI technologies, Microsoft platform capabilities, and industry best practices.
  • Continuously expand technical and consulting skills through mentorship, training, and real-world project experience.

Required Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, Artificial Intelligence, or a related technical field.
  • 0–2 years of professional experience in software engineering, data engineering, AI, machine learning, or related disciplines.
  • Internship, co-op, academic project, or personal project experience demonstrating software development or AI solution delivery.
  • Working proficiency in at least one modern programming language such as Python and/orTypeScript/JavaScript.
  • Ability to read, understand, debug, and modify existing codebases.
  • Foundational understanding of large language models (LLMs), AI agents, prompt engineering, retrieval concepts, or agent orchestration principles.
  • Strong written and verbal communication skills.
  • Comfortable interacting directly with clients and stakeholders in professional settings.
  • Demonstrated ability to learn new technologies quickly and adapt in fast-paced environments.
  • Strong organizational skills, attention to detail, and self-motivation.
  • Willingness and ability to travel and work onsite at client locations as required.

Preferred Qualifications

  • Exposure to Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Power Platform, or Power Automate.
  • Experience with Microsoft 365, SharePoint, Dataverse, Microsoft Fabric, or cloud-based data platforms.
  • Familiarity with REST APIs, integrations, and modern software development practices.
  • Experience working with SQL, data modeling, or data integration concepts.
  • Understanding of prompt engineering, retrieval-augmented generation (RAG), tool/function calling, or agent workflows.
  • Exposure to Git, source control practices, CI/CD pipelines, or DevOps concepts.
  • Experience working in consulting, project-based environments, or client-facing roles.
  • Interest in infrastructure, transportation, architecture, engineering, construction, or digital transformation initiatives.

This position is not eligible for sponsorship.

Compensation Range:

$95,975.90 - $109,686.74

STV offers the following benefits • Health insurance, including an option with a Health Savings Account • Dental insurance • Vision insurance • Flexible Spending Accounts (Healthcare, Dependent Care and Transit and Parking where applicable) • Disability insurance • Life Insurance and Accidental Death & Dismemberment • 401(k) Plan • Retirement Counseling • Employee Assistance Program • Paid Time Off • Paid Holidays • Back-Up Dependent Care • Parental Leave • Continuing Education Program • Professional Licensure and Society Memberships

STV is committed to paying all of its employees in a fair, equitable, and transparent manner. The listed pay range is STV’s good-faith salary estimate for this position. Please note that the final salary offered for this position may be outside of this published range based on many factors, including but not limited to geography, education, experience, and/or certifications.

Not sure this role is the perfect match? We encourage you to apply if STV’s work and values resonate with you. We know great candidates don’t always meet every qualification, and research shows women and people of color are less likely to apply unless they do. At STV, we believe strong talent comes from a wide range of backgrounds, and your skills and experience may align with this or another opportunity as we continue to grow.

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 STV'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 STV'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

    STV'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.