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Retrieval Augmented Generation Rag Jobs in Houston, TX

Experience implementing Retrieval Augmented Generation (RAG), vector search, knowledge management, or semantic retrieval solutions. * Experience with vector databases and practical understanding of ...

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

Experience with Reinforcement Learning, RAG (Retrieval-Augmented Generation), and Agentic AI. * Familiarity with GraphRAG and LLM-as-a-judge architectures. * Predictive Analytics: * Expertise in ...

Preferred : • Familiarity with the financial services industries. • Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). • Hands-on knowledge of Chain ...

Azure OpenAI Azure AI Foundry Azure AI Search Microsoft Copilot Studio Semantic Kernel Vector Databases RAG (Retrieval-Augmented Generation) Semantic Search Agentic AI MCP (Model Context Protocol ...

The AI Engineer holds primary responsibility for architecting and implementing FSCU's on-premises AI platform from scratch u2014 including LLM infrastructure, retrieval-augmented generation (RAG ...

The AI Engineer holds primary responsibility for architecting and implementing FSCU's on-premises AI platform from scratch u2014 including LLM infrastructure, retrieval-augmented generation (RAG ...

The AI Engineer holds primary responsibility for architecting and implementing FSCU's on-premises AI platform from scratch u2014 including LLM infrastructure, retrieval-augmented generation (RAG ...

Azure OpenAI • Azure AI Foundry • Azure AI Search • Microsoft Copilot Studio • Semantic Kernel • Vector Databases • RAG (Retrieval-Augmented Generation) • Semantic Search • Agentic AI ...

Showing results 21-40

Retrieval Augmented Generation Rag information

See Houston, TX salary details

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How much do retrieval augmented generation rag jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for retrieval augmented generation rag in Houston, TX is $19.34, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $20.19 per hour, depending on experience, location, and employer.
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Infographic showing various Retrieval Augmented Generation Rag job openings in Houston, TX as of August 2026, with employment types broken down into 64% Full Time, 33% Part Time, and 3% Contract. Highlights an 62% Physical, 3% Hybrid, and 35% Remote job distribution, with an average salary of $40,223 per year, or $19.3 per hour.

Technical Lead - Generative AI (GenAI) Solutions

Interon IT Solutions

Houston, TX • On-site

Contractor

Re-posted 18 days ago


Job description

Job Title: Technical Lead – Generative AI (GenAI) Solutions

Location: Houston, TX (Onsite)
Contract Type-W2

Job Description

We are looking for a Technical Lead – Generative AI (GenAI) Solutions to lead the design, development, and delivery of enterprise-grade AI solutions. The ideal candidate will have strong hands-on engineering experience, proven technical leadership, and deep knowledge of AI/ML systems, agent architectures, and modern microservices platforms. This role requires close collaboration with product managers, engineering leaders, and business stakeholders.

Key Responsibilities

  • Lead end-to-end technical delivery of Generative AI solutions, including AI agents, RAG pipelines, and automation components.
  • Translate business and product requirements into scalable technical designs and implementations.
  • Own technical architecture, design decisions, and engineering standards across the pod/team.
  • Participate in sprint planning, backlog grooming, and technical discovery sessions.
  • Conduct code reviews, manage module ownership, and ensure adherence to best practices.
  • Track delivery metrics including velocity, quality, and performance.
  • Drive A/B testing, experimentation, and continuous improvement initiatives.
  • Mentor and support junior engineers (SDE I and SDE II).
  • Collaborate with Product Managers, Tech Chapter Leads, and Engagement Leads to align solutions with platform strategy.
  • Communicate technical updates and risks to business and technical stakeholders.
  • Represent the team in architecture reviews and technical forums.

Required Skills & Qualifications

Technical Leadership & Engineering

  • 8+ years of software engineering experience with at least 2+ years in a technical lead role.
  • Strong experience in client-side and backend development, including service orchestration and streaming.
  • Expertise in microservices architecture and enterprise AI/ML platforms.
  • Experience with API design, service integrations, and cross-platform communication.
  • Proficiency with CI/CD pipelines, version control, and automated deployments.

Generative AI & Agent Systems

  • Hands-on experience designing and developing Generative AI applications.
  • Experience building conversational AI, autonomous agents, and multi-agent systems.
  • Strong understanding of Retrieval-Augmented Generation (RAG) architectures.
  • Experience with inference strategies and model selection trade-offs (cloud-based vs on-device).

Security & Compliance

  • Knowledge of enterprise data privacy, cybersecurity standards, and regulatory requirements.
  • Experience handling user interaction data, logs, observability, and retention policies.

Testing & Observability

  • Experience with observability tools for logging, monitoring, and distributed tracing.
  • Strong understanding of API testing, authentication, and authorization mechanisms.

Preferred Qualifications

  • Experience delivering AI solutions in large-scale enterprise environments.
  • Exposure to data science, automation, or ML engineering workflows.
  • Strong communication skills with the ability to translate technical concepts to non-technical stakeholders.