AI Solution Architect - W2 Only

Hi,

Title                                       : Generative AI
Location                               : Tampa Fl (Onsite)
Rate                                        : $53/Hr On W2

Relevant Experience      : 5+

Job Description:

As a Solution Architect with a focus on AI-driven intelligent systems, you will lead the design, development, and
deployment of advanced NLP and cognitive search solutions using Python, Lang chain, Lang Graph,
Retrieval-Augmented Generation (RAG), and Agentic AI models.

 Key Responsibilities

 Design and architect scalable, maintainable AI solutions that integrate Lang chain, Lang Graph, and RAG
methodologies to enhance knowledge discovery and conversational AI capabilities.
• Lead development efforts using Python to prototype and productionize AI agents and workflows.
• Collaborate with data engineering and DevOps teams to implement data pipelines and model deployment
strategies.
• Develop and optimize RAG systems combining vector search, knowledge graphs, and LLMs to provide
contextual and accurate responses.
• Architect agentic AI systems that perform autonomous tasks by chaining actions, managing states, and
integrating external APIs.
• Provide technical leadership and architecture guidance for AI and NLP projects.
• Evaluate emerging AI technologies and frameworks to continuously improve solution design.
• Create comprehensive technical documentation and architecture diagrams to facilitate knowledge transfer.
• Ensure solutions meet security, compliance, and performance standards.

Strong proficiency in Python, with experience in backend or AI service development.

• Hands-on experience with Lang chain and/or Lang Graph frameworks.

• Deep understanding of Retrieval-Augmented Generation (RAG) systems and techniques.

• Experience designing and implementing agentic AI architectures, autonomous workflows, or

multi-agent systems.

• Familiarity with knowledge graphs, vector search engines (e.g., FAISS, Pinecone, Wea viate),

and LLM integration.

• Solid understanding of NLP concepts, transformer models, and prompt engineering.

• Ability to translate complex business requirements into scalable AI solutions.

• Experience with cloud platforms (AWS, Google Cloud Platform, Azure) and container orchestration (Docker,

• Kubernetes).

• Strong communication skills and ability to collaborate across multidisciplinary teams
.

Must-Have Skills:

·         Python

·         LangChain

·         LangGraph

·         RAG

·         Agentic AI

   Prompt Engineering

  Vector Databases

      NLP

Thanks & Regards