AI Architect - Generative AI

Location: Tampa, FL (3 days onsite per week)

About the role

The AI Architect – Generative AI will define the technical vision, architecture, and delivery approach for scalable AI solutions across enterprise environments. The role focuses on large language models, Retrieval-Augmented Generation, agentic AI frameworks, cloud-native AI platforms, MLOps/LLMOps, governance, security, and responsible AI adoption.

The ideal candidate will collaborate with business stakeholders, data scientists, engineering teams, product owners, and security teams to convert business needs into production-ready AI capabilities.

Responsibilities

• Design end-to-end AI and Generative AI architectures aligned with business objectives, enterprise standards, and technology roadmaps.
• Architect scalable solutions using large language models, Retrieval-Augmented Generation, embeddings, vector databases, prompt engineering, fine-tuning, and agentic AI patterns.
• Define architecture blueprints, reusable patterns, solution accelerators, and reference implementations for enterprise AI adoption.
• Lead technical evaluation and selection of AI platforms, model providers, orchestration frameworks, vector stores, cloud services, and integration technologies.
• Design and operationalize LLMOps and MLOps pipelines covering model evaluation, prompt lifecycle management, monitoring, feedback loops, versioning, deployment automation, and continuous improvement.
• Collaborate with data engineering teams to design ingestion, indexing, chunking, embedding, semantic search, and knowledge retrieval pipelines.
• Ensure AI solutions are secure, reliable, scalable, observable, cost-effective, and compliant with enterprise governance and responsible AI standards.
• Define guardrails for responsible AI usage, including data privacy, bias mitigation, explainability, auditability, human-in-the-loop controls, and prompt injection protection.
• Provide technical leadership to AI engineers, data scientists, cloud engineers, and application development teams during design, build, testing, and production rollout.
• Translate complex AI concepts into clear recommendations for business leaders and non-technical stakeholders.
• Stay current with emerging AI technologies, frameworks, model capabilities, risks, and industry best practices.

Requirements

• 8-10 years of experience in AI and data engineering.
• Proficiency in DataBricks for data engineering.

Benefits

• Full range of medical and dental benefits options.
• Disability insurance.
• Paid time off (inclusive of sick leave).
• Other paid and unpaid leave options.

Pay

Expected compensation ranges from $80,000 to $158,000. Final compensation will depend on geographical location, minimum wage obligations, skills, and relevant experience.