WOT Lead AI Engineer

STRATEGIC STAFFING SOLUTIONS HAS AN OPENING!

This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position. Visa Sponsorship is Available! The details are below.

Beware of scams. S3 never asks for money during its onboarding process.

Job Title: WOT Lead AI Engineer Hiring FAST!
Location: Charlotte, NC
Setting: Hybrid Required (Remote is NOT an Option)
Duration: 12+ months.

***WE DO VISA TRANSFERS***

Required Qualifications:

• 7+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 7+ years of experience in software development
• 5+ years of Java, Python, OpenShift containers, and other relevant technologies
• 3+ years of data engineering
• 3+ years of AI and ML concepts, including deep learning, natural language processing and computer vision
• 2+ years of Experience with SDLC and Agile tools such as JIRA, GitHub, Jenkins, Confluence etc.

Desired Qualifications:

• Bachelor s or master s degree in computer science, artificial intelligence or a related field
• Knowledge of Chatbots, Copilot, GPT-4 is preferred
• Experience with other programming languages such as JavaScript and React
• Certification in AI, machine learning or a related field
• Excellent problem-solving skills come up with the ability to troubleshoot and resolve complex technical issues
• Strong collaboration and communication skills come with the ability to work effectively with cross functional teams.

Responsibilities:

• Seeking a Lead AI Engineer to join our TCOO Organization and be part of the Wholesale Operations Technology (WOT) team.
• In this role as an AI engineer, you will develop and lead cutting edge artificial intelligence solutions using large language models, agentic frameworks, and other innovative technologies.
• The ideal candidate would have experience in designing, developing, and deploying applications leveraging LLM models and systems, with a strong focus on Prompt Engineering, Fine Tuning, RAG implementation and Agentic frameworks.
• Design, develop, deploy AI applications using LM's, agent framework, and other related technologies
• Collaborate with enterprise teams to integrate LLM models with the existing WOT products and systems
• Develop and maintain large scale applications using Java, Python, OpenShift containers, and other relevant technologies
• Stay up to date with the latest advancements in AI, LLM, agentic frameworks and apply this knowledge to improve existing systems and develop new ones
• Troubleshoot and resolve complex technical issues related to applications and models
• Ensure systems are monitored to increase operational efficiency and managed to mitigate risk
• Lead, design, develop, test and implement applications and system components, tools and utilities, models, simulation, model drift, and analytics to manage complex business functions using sophisticated technologies
• Resolve coding, testing and escalated platform issues of a technically challenging nature
• Lead team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
• Collaborate and influence all levels of professionals including managers
• Mentor junior software engineers