AI Engineer

STV

. Build, configure, test, and support AI agents, copilots, and intelligent workflows using Microsoft Copilot Studio, Azure AI Foundry, Power Platform, and Power Automate.

Posted 11/3/2026full-timeUnited StatesJuniorMid-Level💰 $95,976 - $109,687 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying AI-driven solutions using Microsoft technologies, including Copilot Studio and Azure AI Foundry. Proficient in programming languages such as Python and TypeScript, with strong communication skills for client engagement and technical documentation.

Highest-signal resume keywords

Microsoft Copilot StudioAzure AI FoundryPython ProgrammingAI Solution DeliveryClient-Facing Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringData EngineeringMachine LearningPrompt EngineeringSQLData IntegrationREST APIsData ModelingCode DebuggingTechnical Documentation

Soft Skills

Strong Communication SkillsOrganizational SkillsAttention to DetailSelf-MotivationAdaptability

Tools & Technologies

Power PlatformPower AutomateMicrosoft 365SharePointDataverseMicrosoft FabricAzure OpenAIGitCI/CD PipelinesDevOps

Industry Keywords

Digital TransformationInfrastructureTransportationArchitectureEngineeringConstruction

Tech Stack

Tools & technologies

AzureCloudJavaScriptPythonSQLTypeScript

About the role

Key responsibilities & impact

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 developing and deploying AI-driven solutions for operational, business, and project delivery challenges.
Participate in solution design sessions and contribute ideas for performance, usability, and scalability.
Support integration of AI capabilities into existing client platforms and business processes.
Develop and maintain prompts, knowledge sources, workflows, and agent configurations.
Participate in client-facing workshops, discovery sessions, and solution demonstrations.
Gather and document business and technical requirements from stakeholders.
Explain AI concepts and technical solutions to non-technical audiences.
Troubleshoot issues during demonstrations, testing, and production deployments.
Support onsite client engagements throughout the project lifecycle.
Develop and maintain data flows across Dataverse, Microsoft Fabric, OneLake, SharePoint, and Microsoft 365.
Assist with data preparation, transformation, integration, and governance for AI solutions.
Support secure and scalable data architectures.
Collaborate with software engineers, data engineers, and architects.
Write clean, maintainable, and documented code and configurations.
Participate in code reviews, testing, quality assurance, and user acceptance testing.
Follow development, security, naming, and documentation standards.
Contribute to technical documentation, deployment guides, runbooks, user guides, and knowledge-sharing materials.
Own small features, enhancements, or workstreams from design through deployment.
Estimate effort, manage tasks, and deliver work against project timelines.
Stay current with emerging AI technologies and Microsoft platform capabilities.
Develop technical and consulting skills through mentorship, training, and project experience.

Requirements

What you’ll need

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/or TypeScript/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.
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.

Benefits

Comp & perks

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