AI Solution Architect

Purple Drive Technologies

• $120K — $150K *
Tampa, FL 33647In-Person
Enterprise Technology
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 10+ years of experience in AI architecture and development
  • Proficient in Python programming language
  • Hands-on expertise with LangChain and LangGraph technologies
  • Experience in designing and implementing Retrieval-Augmented Generation (RAG) solutions
  • Knowledge in building Agentic AI applications and multi-agent systems
  • Familiarity with large language models like OpenAI and Anthropic
  • Experience with vector databases and API development using FastAPI/Flask

Responsibilities

  • Architect and design robust, enterprise-grade AI solutions
  • Develop workflows for Agentic AI using LangChain and LangGraph
  • Create and optimize pipelines for RAG and knowledge retrieval
  • Establish architecture standards for security, scalability, and governance
  • Collaborate to translate stakeholder requirements into practical AI solutions
  • Provide guidance to development teams on best practices and optimizations
  • Assess and recommend the adoption of emerging AI technologies

Benefits

  • Access to advanced AI tools and technologies
  • Collaboration with a team of AI experts
  • Opportunities for continuous learning and professional growth
  • Flexible working arrangements
  • Engagement in pioneering AI projects with real-world impact
Full Job Description
Overview:

Position: AI Solution Architect

Experience: 10+ Years

Key Skills Required:

  • Strong expertise in Python
  • Hands-on experience with LangChain and LangGraph
  • Designing and implementing RAG (Retrieval-Augmented Generation) solutions
  • Building Agentic AI applications and multi-agent systems
  • Experience with LLMs such as OpenAI, Anthropic, Llama, Gemini, etc.
  • Prompt Engineering and AI orchestration frameworks
  • Vector Databases (Pinecone, Weaviate, Chroma, FAISS, etc.)
  • API development using FastAPI/Flask
  • AI solution architecture, scalability, and governance
  • Cloud platforms (AWS, Azure, or GCP)
  • MLOps/LLMOps, CI/CD, monitoring, and deployment
Key Responsibilities:

  • Architect and design enterprise-grade AI/GenAI solutions
  • Develop Agentic AI workflows using LangChain and LangGraph
  • Design and optimize RAG pipelines and knowledge retrieval systems
  • Define AI architecture, security, scalability, and governance standards
  • Collaborate with business and technical stakeholders to translate requirements into AI solutions
  • Guide development teams on best practices, deployment, and performance optimization
  • Evaluate emerging AI technologies and recommend strategic adoption
Preferred Experience:

  • Multi-agent orchestration frameworks
  • LlamaIndex, AutoGen, CrewAI, AutoRAG
  • Fine-tuning and model optimization
  • Vector search and semantic retrieval
  • Enterprise AI platform implementation
* Ladders Estimates

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