Artificial Intelligence Implementation Specialist

Qualifications

• Proven experience as a Data Engineer, AI Engineer, or similar role, with a focus on production, customer-facing implementation of data orchestration and AI technologies
• Proficiency in programming languages (Python, Java), familiarity with related AI/ML frameworks (ex
• LangChain, TensorFlow, PyTorch)
• Experience with prompt flows, prompt engineering best practices, and AI patterns (ex
• Retrieval Augmented Generation (RAG))
• Strong development practices including source control, testing methodologies, and, preferably, DevOps or CI/CD processes and tooling
• Bachelor's degree in Computer Science, Engineering, or a related field

Responsibilities

• As an AI Implementation Specialist, you will be responsible for designing, implementing, and deploying AI solutions that meet the needs of our clients
• Collaborate with cross-functional teams to develop and deploy AI models based on jointly created designs
• Ensure scalability, reliability, and security of AI and data orchestration systems
• Provide SME-level support, documentation, and guidance for implemented AI processes
• Monitor and improve AI systems based on performance metrics and user feedback
• Design and implement processes to improve data quality, synthesize data, produce training sets, and generally prepare data for AI usage

Full Description

About the Role

RIT Solutions, Inc. is seeking a highly skilled Artificial Intelligence Implementation Specialist to join our team. As an AI Implementation Specialist, you will be responsible for designing, implementing, and deploying AI solutions that meet the needs of our clients.

Responsibilities

• Collaborate with cross-functional teams to develop and deploy AI models based on jointly createddesigns.

• Ensure scalability, reliability, and security of AI and data orchestration systems.

• Provide SME-level support, documentation, and guidance for implemented AI processes.

• Monitor and improve AI systems based on performance metrics and user feedback.

• Design and implement processes to improve data quality, synthesize data, produce training sets, and generally prepare data for AI usage.

Requirements

• Proven experience as a Data Engineer, AI Engineer, or similar role, with a focus on production, customer-facing implementation of data orchestration and AI technologies.

• Proficiency in programming languages (Python, Java), familiarity with related AI/ML frameworks (ex. LangChain, TensorFlow, PyTorch).

• Experience with prompt flows, prompt engineering best practices, and AI patterns (ex. Retrieval Augmented Generation (RAG)).

• Development and production deployment experience with data products on public cloud platforms (Azure and AWS preferred).

• Strong development practices including source control, testing methodologies, and, preferably, DevOps or CI/CD processes and tooling.

• Bachelor's degree in Computer Science, Engineering, or a related field.

• Relevant certifications in AI, data engineering, or cloud computing are a plus.