AI Architect

Focus on the role will be- AI engineering on the front end working with business, creating AI POC 's based on the apps and the data the comes through - this is NOT a .Net DEV role

CALL NOTES-- someone in this role that can meet with the business/Finance etc. and help them solve for business research they are trying to pull information and reports together for from the Highland Homes data.

Needs someone who has worked on limitations for
Demand for custom GPTs
Production
Concept to production
Someone who used Claude

CHat GPT
Know a CI/CD pipeline –maintain software
Need someone to own production and know how to set up the sandbox

This person must have strong listening and communication skills. Example would be someone pulling information from different external sources and using ChatGPT etc and then using internal data to make comparisons and predict and display trends

• Practical experience in building and deploying AI models (not just chatbots)
• Hands-on experience with LLMs, prompt engineering, RAG pipelines, or fine-tuning—especially real-world applications, not just experiments
• Ability to engage with the business, build and refine requirements
• Good communication silks (explain the rationale or concepts to non-technical users)
• Software engineering foundation
• Experience with AI tooling & ecosystem

- AI /ML.NET Azure lead dev - Hybrid in Plano ! NO RELO Candidates 

xxxxxxxxxxxxxxxNET ( Azure)AI/ML Senior Software Engineer

60W2 or 70(1099)

Client  - Highland homes 

Hybrid onsite - 4 days - Plano, TX 

6-12 months - 

H1 trasfer ok

 There will be a ONSITE INTERVIEW no flex on it 

Seeking a Software Engineer/Architect with a .NET Engineering background and AI/ML experience to design and build out solutions to solve real-world business research and problems.
 
Design end-to-end AI and machine learning system architectures, including data pipelines, model development, deployment, and monitoring.
· Collaborate with business stakeholders to understand requirements and translate them into technical AI/ML solutions.
· Evaluate and select appropriate AI/ML frameworks, tools, and platforms.
· Define best practices and standards for AI/ML model development, testing, and deployment.
· Lead and mentor data scientists, ML engineers, and software developers in implementing AI solutions.
· Ensure AI/ML systems are scalable, secure, and maintainable.
· Oversee integration of AI/ML models with existing IT infrastructure and applications.

• Key Responsibilities:  
  What We’re Looking For: Strong problem-solving and debugging skills.
  Excellent communication and teamwork abilities.
  • Design, build, and maintain scalable production systems and APIs maintaining our cloud-native microservices-based API solutions. You will work closely with cross-functional teams to build robust, scalable, and highly available APIs on the Azure platform using .NET 6.0 or later.
  • Design, implement, and maintain RESTful APIs and microservices using .NET 6.0 or later, with a primary focus on Azure Functions.
    Work across the full technology stack, from backend services to front-end applications
  • Collaborate cross-functionally to ensure engineering solutions align with business goals
  • Self-starter who thrives in fast-paced, ambiguous environments. Comfortable taking ownership, partnering with business partners, and driving results without needing step-by-step instructions.
  • Technical Excellence: 5+ years of professional experience building and maintaining production-grade software systems. Strong engineering fundamentals and sound decision-making.
  • Full-Stack Development Skills: Experience with REST APIs, web frameworks, and relational databases. Proficient in modern backend languages and cloud-based infrastructure.
  • Microservices Architecture: Develop and optimize microservices-based solutions, ensuring modularity, scalability, and resilience.
  • Azure Integration: Leverage Azure services, including Azure Functions, Azure API Management, and other Azure components, to build and manage cloud-native APIs.
  • Code Quality: Enforce best practices for coding standards, testing, and documentation to ensure the reliability and maintainability of the codebase.
  • Performance Optimization: Monitor, diagnose, and optimize API performance to deliver a seamless user experience.
  • Security: Implement security best practices to protect APIs from vulnerabilities and threats.
    Collaboration: Collaborate with product managers, frontend developers, and other stakeholders to define API requirements and ensure successful integration with frontend applications.
    Documentation: Create and maintain clear and concise technical documentation, including API specifications and usage guidelines.
    
    Qualifications:
    Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience).
    Proven experience as a .NET API Developer with a strong focus on Azure Functions and microservices.
    Deep knowledge of Azure services and serverless architecture, especially Azure Functions and Azure API Management.
    Familiarity with CI/CD pipelines and version control (e.g., Git)