AI Implementation Architect
rit solutionsMemphis (TN)
AI Implementation Architect
Posted 9 days ago
rit solutionsMemphis (TN)
SENIORITY
Lead
About the role
AI Implementation Architect
Location:
Memphis, TN (Preferred) or Remote Duration: 18 Months + Extensions (Long-term contract.)
Start Date:
ASAP Number of Openings: 1Top Skills in Order of PreferenceAI Solution Design and Implementation Machine Learning and Data Science ExpertiseAI Architecture and Pipeline Planning
Essential Job Functions:
Design and build data and AI infrastructure systems including model selection and versioning, indexing, feedback capture, monitoring, and performance.
Integration: Implement AI solutions that integrate seamlessly with existing business systems and enhance functionality. Work with systems and application owners to design complementary AI solutions.
Collaboration: Work with data scientists, enterprise architects, and stakeholders to develop and deploy AI models based on use cases and value.
Operations: Ensure scalability, reliability, and security of AI and data orchestration systems. Design systems to produce ethical, un-biased output.
Governance and Improvement: Monitor and improve AI systems based on performance metrics and user feedback. Implement governance and observation methodologies to provide transparency to model operations.
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. Strong ability to translate use case and business domain functions to production applications. Proficiency in programming languages (Python, Java) and 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). Knowledge of vector databases, search indexes, and embeddings. Experience with fine-tuning (PEFT) is a plus. Experience with API architecture and design is a plus.
Education: Bachelor's degree in Computer Science, Engineering, or a related field.
Certifications: Relevant certifications in AI, data engineering, or cloud computing are a plus.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.