Senior AI Solutions Developer

Riley Power Group • Bay City, TX

22h

About The Position

Define and implement the organization's AI and data strategy aligned with business goals and governance standards. Design and develop scalable data pipelines, architectures, and frameworks to support LLM training and deployment. Leverage Microsoft CoPilot Studio and generative AI tools to build and integrate custom AI copilots and conversational agents. Develop, fine-tune, and evaluate LLM-based chatbots and domain-specific AI assistants for enterprise functions. Collaborate with cross-functional teams (data engineers, product managers, and business stakeholders) to identify use cases and deliver AI-driven value. Establish data management, lifecycle governance, and model security best practices.

Requirements

• 5 Years of experience across data science, AI, or data architecture roles.
• Experience with Large Language Models (LLM) such as OpenAI, Azure OpenAI, Hugging Face, Anthropic, etc.
• Expertise with Microsoft CoPilot Studio, Power Platform , or similar generative AI ecosystems.
• Strong programming skills in Python, SQL, and knowledge of data engineering frameworks .
• Proficiency in cloud AI platforms (Azure AI, AWS Sagemaker, or GCP Vertex AI).
• Understanding prompt optimization, retrieval-augmented generation, and model deployment pipelines.
• Proven experience in designing production-grade chatbots and AI agents .
• Must be a citizen of the US, its possessions or territories, or lawful permanent resident as defined by USC 1101(a)(20), or protected individual as defined by USC 1324b(a)(3) RPG participates in the eVerify program.

Nice To Haves

• Certifications in AI or Cloud Architecture (Azure AI Engineer, Data Engineer, etc.) (Preferred)

Responsibilities

• Define and implement the organization's AI and data strategy aligned with business goals and governance standards.
• Design and develop scalable data pipelines, architectures, and frameworks to support LLM training and deployment.
• Leverage Microsoft CoPilot Studio and generative AI tools to build and integrate custom AI copilots and conversational agents.
• Develop, fine-tune, and evaluate LLM-based chatbots and domain-specific AI assistants for enterprise functions.
• Collaborate with cross-functional teams (data engineers, product managers, and business stakeholders) to identify use cases and deliver AI-driven value.
• Establish data management, lifecycle governance, and model security best practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 251-500 employees