McKinney, TX

Data Jobs in McKinney, TX

2 jobs found

Include remote jobs

Today

Associate AI Engineer

Pogue Construction McKinney, TX

McKinney, TX

Today

Full time Ai Automation Ai Engineer Artificial Intelligence

Apply Now

Job Description

Build and support governed, bounded AI and automation solutions on Microsoft Fabric at Pogue in McKinney, TX.

Responsibilities

Develop, test, and improve bounded AI and automation capabilities using VS Code, SQL, APIs, Git, and Pogue-approved cloud services
Support solutions including permission-aware enterprise search, retrieval-augmented generation (RAG), internal assistants, workflow support, and AI-enabled analytics
Convert approved backlog items into requirements, technical tasks, acceptance criteria, and small releases that are measurable and safely supported
Create prototypes during discovery, then help transform validated prototypes into maintainable services and reusable patterns
Participate in design review with the Principal Solutions Architect before development starts, then move approved designs through to release
Work with Microsoft Fabric lakehouse data, governed Gold business objects, semantic models, metadata, and shared business definitions
Connect structured data with approved documents using secure APIs and retrieval patterns while preserving source permissions, citations, versions, and effective dates
Contribute to Pogue’s enterprise ontology and knowledge foundation by documenting objects, relationships, definitions, ownership, and authoritative sources
Build only on data confirmed as validated in the Gold layer
Document architecture, assumptions, decisions, data flows, interfaces, tests, deployment steps, and operating runbooks for ongoing support
Evaluate accuracy, failure modes, access behavior, latency, cost, and usefulness; convert results into clear release recommendations
Follow Pogue requirements for identity, role-based access, data-classification, approved-model use, logging, monitoring, and human-approval steps
Raise uncertainty, security concerns, and data-quality issues early and propose practical options instead of hiding risk
Work with business owners and subject-matter experts to understand the decision or workflow before selecting a technical approach
Communicate tradeoffs in plain language, ask focused questions, demonstrate progress, and incorporate feedback from technical and nontechnical teammates
Support adoption with concise guides, examples, training materials, and responsive follow-through after launch
Support the AI Champions Network as solutions roll out to project teams

Requirements

Team player mindset
Teachable and capable of learning through feedback
Curious and self-directed
Can write and troubleshoot code in VS Code
Working knowledge of SQL
Working understanding of REST APIs, Git-based collaboration, testing, and basic cloud concepts
Secure handling of credentials and data
Ability to explain a technical project, including decisions made, tradeoffs, and how results were validated
Clear written communication
Able to relate to and communicate with a diverse group of professionals
Can work both individually and as part of a team
Self-motivated and driven
Highly organized and detail oriented
Highly analytical thinker
Positive attitude
Internal and external customer service orientation
Willingness to ask for context when requirements are incomplete
Minimum 20 hrs of Continued Education (yearly)

Technologies

VS Code, SQL, APIs, Git
Microsoft Fabric, OneLake
Azure AI Search, Azure OpenAI, Azure AI Foundry
Power BI
LLM applications, RAG, embeddings
Prompt or model lifecycle management
Agents or workflow automation
Protégé, OWL, RDF, SPARQL
TypeScript, C#, CI/CD
Containerized services, monitoring

Technical Program Experience (Not Required)

Microsoft Azure or Fabric, OneLake or lakehouse patterns, Power BI, Azure AI Search, Azure OpenAI or Azure AI Foundry
LLM applications, RAG, embeddings, evaluation, prompt or model lifecycle management, agents or workflow automation
Knowledge representation, semantic modeling, enterprise ontologies, or knowledge graphs coursework or projects, including Protégé, OWL, RDF, or SPARQL
Metadata, data lineage, document management, or construction and project-control systems
TypeScript, C#, or another modern language
CI/CD, containerized services, monitoring, cost management, or secure enterprise integration

Location: McKinney, TX (onsite)

Education: Bachelor’s degree in computer science, software engineering, information systems, data science, or a related field (or co…)

View full job page →

6d ago

AI Engineer

Transformativ, LLC McKinney, TX

McKinney, TX

6d ago

$75 - $100/hr Contract Agentic Ai AI Ai Engineer

Apply Now

Job Description

AI Engineer role delivering production-ready agentic AI and multi-agent solutions for enterprise clients.

Responsibilities

Design and deploy production-ready Agentic AI and multi-agent systems
Build enterprise AI applications using Python and LLM platforms such as OpenAI, Anthropic, Google Gemini, Azure OpenAI, or similar
Develop AI workflows using orchestration frameworks including LangGraph, CrewAI, AutoGen, MCP, or comparable tools
Integrate AI solutions with APIs, databases, Microsoft 365, ERP, CRM, and other enterprise systems
Partner with business leaders to translate operational challenges into AI solutions
Lead technical design discussions and mentor other engineers when appropriate
Evaluate emerging AI technologies and recommend practical solutions

Requirements

Professional experience building production AI applications
Strong Python development skills
Hands-on experience with LLM APIs (OpenAI, Anthropic, Gemini, Azure OpenAI, etc.)
Experience with Agentic AI, autonomous agents, multi-agent systems, or AI orchestration
Experience integrating REST APIs, databases, and enterprise applications
Excellent communication and client-facing consulting skills
Ability to explain complex AI concepts to both technical and business audiences

Technologies

Python, LLMs, Generative AI, Agentic AI, Multi-Agent Systems, Large Language Models (LLMs), AI Automation
OpenAI, Anthropic, Google Gemini, Azure OpenAI
LangGraph, CrewAI, AutoGen, MCP, Semantic Kernel
REST APIs, APIs, Microsoft 365, ERP, CRM
Azure, AWS, Google Cloud

Location and Work Model

Hybrid remote in McKinney, TX 75070
Dallas, TX preferred; remote considered for exceptional candidates

Job Type

1099 Independent Contractor with Contract-to-Hire Opportunity

Compensation

Pay: $75.00 - $100.00 per hour
Competitive hourly rate based on experience

About Transformativ

AI-first consulting firm specializing in business transformation through Generative AI, Agentic AI, Large Language Models (LLMs), intelligent automation, and autonomous multi-agent systems
Partners with private equity firms and mid-market enterprises to redesign business processes, eliminate manual work, and deploy production-ready AI solutions that deliver measurable business value

Role Focus

Not a traditional software engineering role
Build and deploy AI systems into production by automating business processes using modern LLMs, autonomous agents, and enterprise integrations
Work directly with executives and client teams to architect, build, and deploy AI systems

Preferred Experience

LangGraph, CrewAI, AutoGen, MCP, Semantic Kernel, or similar frameworks
Cloud platforms including Azure, AWS, or Google Cloud
Experience in healthcare, manufacturing, supply chain, finance, procurement, or private equity
AI governance, security, evaluation, and responsible AI practices
Technical leadership or consulting experience

Keywords: AI Engineer, Generative AI, Agentic AI, Multi-Agent Systems, Large Language Models, LLM, OpenAI, Anthropic, Claude, Gemini, Azure OpenAI, Python, LangGraph, CrewAI, AutoGen, MCP, AI Automation, Enterprise AI, Machine Learning, Intelligent Automation, AI Consulting

View full job page →

Data Jobs in McKinney, TX

Associate AI Engineer

AI Engineer

Get Data Jobs in McKinney, TX alerts