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Senior AI Engineer Agentic Solutions

  • Texas, Conroe

  • 06/09/2026

  • Contract

  • Active

Job Description:

  • Job Summary
    The Senior AI Engineer will design, develop, and deploy AI-native, agentic solutions that transform and modernize business workflows. This role focuses on building production-grade AI systems from the ground up, leveraging large language models (LLMs), agent orchestration frameworks, retrieval-augmented generation (RAG), and enterprise integrations. The ideal candidate will be a hands-on engineer with experience delivering scalable AI solutions in enterprise environments while ensuring compliance with governance, security, and data management standards.

    Key Responsibilities
    • Design, develop, and deploy end-to-end agentic AI solutions that automate, enhance, or reimagine business workflows.
    • Architect multi-step AI agent pipelines utilizing tool-calling, memory management, retrieval-augmented generation (RAG), and orchestration frameworks.
    • Implement human-in-the-loop workflows and escalation mechanisms for complex or high-risk decision-making processes.
    • Integrate AI systems with enterprise data sources, internal APIs, and third-party platforms while adhering to security and governance requirements.
    • Ensure data quality, model grounding, reliability, observability, and resilient failure handling in production environments.
    • Manage large language model (LLM) integrations, prompt strategies, model selection, and version management.
    • Develop and maintain AI-enabled APIs, data pipelines, and supporting infrastructure.
    • Build and optimize vector database solutions and retrieval systems.
    • Deliver solutions from proof of concept through pilot and production deployment.
    • Collaborate with business stakeholders, process owners, domain experts, and governance teams to develop trusted AI solutions.
    • Monitor, evaluate, and continuously improve deployed AI and agentic systems.
    • Stay current with emerging AI technologies, frameworks, and best practices.

    Required Qualifications
    • Bachelor’s degree in a STEM-related discipline.
    • 5+ years of experience in software engineering or a related technical field.
    • 2+ years of experience in AI/ML, LLM-based solutions, and agentic AI system development.
    • Strong proficiency in Python development.
    • Experience developing and integrating REST APIs.
    • Experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines.
    • Experience with agent orchestration frameworks such as LangGraph, LangChain, CrewAI, Semantic Kernel, or similar technologies.
    • Experience deploying, monitoring, and maintaining AI and LLM-based workflows in production environments.
    • Experience developing data pipelines and supporting AI-driven applications.
    • Experience working with vector databases and semantic search solutions.
    • Knowledge of cloud platforms, preferably Microsoft Azure, including Azure AI Foundry and Azure AI Search, or comparable AWS services.
    • Strong problem-solving, analytical, and solution design skills.
    • Ability to work independently and manage projects through full development lifecycles.
    • Excellent communication and collaboration skills.

    Preferred Qualifications
    • Experience with Databricks in enterprise environments.
    • Experience building enterprise-scale agentic AI platforms and architectures.
    • Experience implementing AI governance, security, and compliance controls.
    • Experience with advanced prompt engineering techniques and model evaluation frameworks.
    • Experience integrating AI solutions with complex enterprise applications and data ecosystems.
    • Experience working with multi-agent architectures and workflow orchestration frameworks.

    Certifications
    • Relevant cloud, AI, or machine learning certifications related to Microsoft Azure, AWS, or Generative AI technologies – Preferred.

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