AI Architect

Both roles would prefer someone in Memphis, TN.

They will consider remote but have said that candidates in Memphis, TN who can work onsite with get preference.

AI Architect (Remote or Memphis-based Preferred)

Overview
A leading nonprofit organization is seeking an experienced AI Architect to design and deliver enterprise-scale AI infrastructure and solutions. This is a long-term contract role ideal for someone who thrives at the intersection of strategic vision and hands-on development. The position offers flexibility to work remotely, though preference will be given to candidates based in or near Memphis due to periodic onsite collaboration.

Responsibilities

• Architect and implement robust AI infrastructure, including model management, versioning, indexing, feedback loops, and monitoring systems
• Collaborate closely with data scientists, application owners, and business stakeholders to translate use cases into scalable AI solutions
• Ensure seamless integration of AI capabilities with existing systems while improving their overall functionality
• Design systems that are secure, reliable, and capable of delivering ethical, unbiased outputs
• Continuously evaluate model performance and apply governance practices to ensure transparency and compliance
• Lead initiatives focused on the scalability, reliability, and security of AI and data orchestration platforms

Required Skills

• Demonstrated experience in AI engineering, data engineering, or a related role involving production-level AI deployments
• Ability to translate business domain requirements into functional AI applications
• Proficiency in Python or Java and familiarity with ML frameworks such as Tensor Flow, PyTorch, and Lang Chain
• Experience with prompt engineering, including patterns such as Retrieval-Augmented Generation (RAG)
• Cloud-native development experience, preferably on Azure or AWS
• Working knowledge of vector databases, embeddings, and search indexing technologies
• Experience with fine-tuning techniques such as Parameter-Efficient Fine-Tuning (PEFT) is a plus
• Background in API architecture and integration is also a strong plus

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field
• Certifications in AI/ML, cloud computing, or data platforms are desirable