AI LEAD (CONTRACT)
Job Description
Role Purpose
The purpose of this role is to design solution architecture for cross-system interactions and business logic integration, ensuring seamless interoperability across multiple applications.
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Area of Responsibility
Requirement Analysis-Participate in requirement discussions with client stakeholders to define solution and implementation level needs basis the business requirements.
Designing-Create solution architecture designs to meet cross-system interactions and business logic integration requirements, ensuring system cohesion across multiple applications.
Integration assessment and support-Assess and evaluate interactions across multiple applications by evaluating implementation dependencies and integration requirements.
Troubleshooting-Support validation of solution components during implementation and ensures the solution functions as designed.
Risk Analysis and Assessment-Assist in identifying potential risks by evaluating system performance of implemented architectural solutions, to ensure efficient system landscape.
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Role- AI Lead (Generative AI)
Location- Irving, TX OR Tampa, FL
Key Responsibilities:
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- Contribute to prompt engineering and development of AI-powered workflows
- Assist with the deployment, monitoring, and maintenance of AI models in production environments.
- Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities.
- Perform data preprocessing, feature engineering, and API development for AI applications.
- Participate in code reviews, testing, and documentation to ensure quality and reliability.
- Stay updated with advancements in GenAI and share relevant learnings with the team.
Required Technical Skills:
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- Familiarity with LLMs, prompt engineering, and workflow orchestration.
- Exposure to RAG systems and basic knowledge of hybrid search techniques.
- Exposure to Multi-Agent systems.
- Understanding of model deployment and containerization (Docker).
- Proficiency in Python for AI development, data preprocessing, and scripting.
- Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a plus.
- Understanding of version control systems (Git).
- Awareness of AI compliance, data privacy, and responsible AI principles.
- Hands-on experience with at least one major machine learning framework (PyTorch, TensorFlow, Keras). (Advantageous)
Required Soft Skills:
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- Strong teamwork and communication abilities.
- Willingness to learn new AI/ML technologies and frameworks.
- Analytical mindset and attention to detail.
- Openness to feedback and continuous improvement.
Source: the employer's careers page. Last checked 2026-10-11. Posted 2026-10-10.
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