Remote AI Solution Architect — Enterprise GenAI & LLMs

Robotic Technologies Automation; Tampa (FL); Remote; USD 140,000 - 190,000; Full time

Job summary

Robotic Technologies Automation in Tampa, FL seeks an experienced AI Solution Architect to design and implement scalable AI systems. You will lead end-to-end AI/ML solutions, align with business goals, and drive enterprise integration across systems and APIs.

Responsibilities include building architectures with LLMs, RAG, AI agents, and vector databases; deploying via MLOps, ensuring security and governance; collaborating with data scientists and engineers.

Qualifications

• 10+ years in software or enterprise architecture.
• Experience with AI/ML architecture and Generative AI.
• Hands-on with Azure OpenAI / AWS Bedrock / Vertex AI / OpenAI.
• Strong Python programming.
• Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel.
• Knowledge of vector DBs like Pinecone, FAISS, Weaviate.
• Design REST APIs and microservices.
• Cloud platforms knowledge (Azure/AWS/GCP).
• MLOps/LLMOps, model monitoring and deployment pipelines.
• Responsible AI, data privacy, and governance.

Responsibilities

• Design and architect end-to-end AI/ML and Generative AI solutions for enterprise applications.
• Develop scalable AI architectures leveraging LLMs, RAG, AI Agents, and vector databases.
• Define solution architecture, technical roadmaps, design patterns, and architecture standards.
• Evaluate and implement AI platforms such as Azure OpenAI, AWS Bedrock, Vertex AI, and OpenAI.
• Design and implement RAG pipelines, prompt engineering, embeddings, semantic search, and vector indexing.
• Build and integrate AI-powered applications using Python, REST APIs, and microservices.
• Work with LangChain, LangGraph, LlamaIndex, Semantic Kernel, and Hugging Face.
• Design AI agent workflows, tool calling, multi-agent orchestration, and MCP-based integrations.
• Integrate AI solutions with enterprise systems, databases, APIs, and cloud platforms.
• Ensure AI solutions meet security, scalability, governance and compliance requirements.
• Establish MLOps and LLMOps practices for deployment, monitoring, and evaluation.
• Collaborate with business stakeholders, data scientists, ML engineers, and development teams.

Skills

AI/ML architecture

Generative AI

Python

REST APIs

MLOps/LLMOps

Cloud platforms (Azure/AWS/GCP)

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

Pinecone

Weaviate

Docker

Kubernetes

Job description

Robotic Technologies Automation in Tampa, FL seeks an experienced AI Solution Architect to design and implement scalable AI systems. You will lead end-to-end AI/ML solutions, align with business goals, and drive enterprise integration across systems and APIs.

Responsibilities include building architectures with LLMs, RAG, AI agents, and vector databases; deploying via MLOps, ensuring security and governance; collaborating with data scientists and engineers.