22 days ago
Lewisville, TX, USAStaff+
Responsibilities
- Design, build, test, and support AI agents, copilots, RAG workflows, automations, integrations, APIs, prompts, evaluation assets, and reusable AI components.
- Develop agent and workflow solutions using approved enterprise platforms, standards, templates, and governance requirements.
- Partner with AI, data, technology, cybersecurity, and business stakeholders to implement priority enterprise use cases.
- Create reusable components and development patterns that improve speed, consistency, security, and maintainability.
- Support prototype-to-production delivery through testing, deployment, monitoring, documentation, release management, and operational handoff.
- Integrate AI solutions with enterprise data sources, applications, collaboration tools, workflow systems, APIs, and knowledge repositories.
- Apply responsible AI and security requirements, including data handling, access controls, human-in-the-loop design, auditability, and appropriate use.
- Troubleshoot agent behavior, workflow errors, prompt quality, retrieval issues, integration failures, and performance concerns.
- Provide technical guidance, patterns, and working examples to internal teams, citizen developers, analysts, and delivery partners.
- Stay current with emerging generative AI, agentic AI, orchestration, evaluation, and enterprise AI engineering practices.
Requirements
- Seven or more years of hands-on experience in software engineering, AI engineering, automation engineering, data engineering, cloud engineering, or enterprise application development.
- Three or more years building AI-enabled applications, automation workflows, agentic AI solutions, copilots, RAG solutions, ML-enabled systems, APIs, enterprise integrations, or intelligent workflow orchestration capabilities.
- Strong programming, scripting, API, integration, testing, debugging, and deployment skills.
- Practical familiarity with generative AI, LLMs, prompt engineering, retrieval, embeddings, agent orchestration, tool or function calling, multi-step reasoning, evaluation, monitoring, and responsible AI guardrails.
- Hands-on experience designing agentic workflows that combine planning, reasoning, tool use, enterprise data access, APIs, human-in-the-loop controls, exception handling, and operational monitoring.
- Familiarity with agentic AI technologies and frameworks such as Microsoft Copilot Studio, Azure AI Foundry, Semantic Kernel, AutoGen, LangGraph, LangChain, CrewAI, LlamaIndex, and OpenAI Agents SDK, or comparable platforms.
- Experience with cloud platforms, enterprise applications, data platforms, low-code or no-code platforms, automation tools, or collaboration platforms.
- Ability to translate business requirements into working technical solutions with appropriate documentation and supportability.
- Strong problem-solving, communication, and collaboration skills in ambiguous, fast-moving AI delivery environments.
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