What are the responsibilities and job description for the GenAI Engineer - W2 - Hybrid in Charlotte, NC/ Dallas, TX/ Bay Area, CA/Phoenix, AZ (Posted by SAM) position at Global Force USA?
Lead AI Engineer
- 5 years of overall software engineering experience, or equivalent demonstrated through work experience, training, military experience, or education.
- 3 years of hands-on experience building and deploying AI/ML or Generative AI solutions in production environments.
Strong experience with:
- Retrieval-Augmented Generation (RAG)
- LLM orchestration and prompt engineering
- Agentic or workflow-based AI systems
- Proficiency in one or more programming languages such as Python, Java, or similar, with production-grade coding practices.
- Partner with business stakeholders, product owners, and engineering teams to understand business problems, identify AI-enabled opportunities, and define end-to-end technical solutions.
- Design, prototype, and deliver AI-driven workflows, agents, copilots, and automatons using large language models (LLMs) and enterprise AI services.
- Integrate AI capabilities with enterprise platforms and systems (e.g., ServiceNow, Salesforce, data platforms, internal services) using secure APIs and orchestrating patterns.
- Rapidly iterates on prototypes and transitions them into production-ready solutions that meet enterprise standards for reliability, scalability, and supportability.
- Act as a technical bridge between business, product, data, security, and engineering teams to ensure solutions are usable, compliant, and aligned with business objectives.
Lead solution architecture and design activities, including:
- Prompt engineering and AI workflow design
- API integration and service orchestrating
- Enterprise knowledge and data integration
- Security, privacy, risk, and governance considerations