GenAI Architect

Purple Drive

Seattle, WA

JOB DETAILS
SKILLS
Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Authentication, Big Data, Cloud Computing, Computer Vision, Continuous Deployment/Delivery, Continuous Integration, DevOps, Docker, GCP (Good Clinical Practices), JSON, Kernel Programming, Mentoring, Microsoft Windows Azure, MongoDB, MySQL, Natural Language Processing (NLP), NoSQL, Predictive Modeling, Product Demonstration, Python Programming/Scripting Language, REST (Representational State Transfer), Redis, Reinforcement Learning, SQL (Structured Query Language), Traffic Shaping, Trend Analysis
LOCATION
Seattle, WA
POSTED
3 days ago
Overview:

Primary Skills

  • GenAI & Agentic AI Expertise:

    • Development of generative & predictive AI models (NLP, Computer Vision)
    • Agentic workflows, multi-agent systems, reinforcement learning
    • Frameworks: LangChain/LangGraph, Crew AI, Semantic Kernel, OpenAI Agentic SDK
  • Programming & ML Libraries:

    • Python, SQL
    • TensorFlow, PyTorch, scikit-learn
  • Prompt Engineering:

    • Zero-shot, few-shot, chain-of-thought techniques
  • Cloud & Big Data:

    • AWS, Azure, GCP
    • Databricks, PySpark
Secondary Skills

  • API Architecture & Integration (REST, JSON, Authentication, Rate Limits)
  • Deployment Tools: Azure DevOps, Docker, AWS ECS/EKS/Fargate
  • CI/CD: AWS CloudFormation, CodeDeploy
  • Data Engineering: SQL & NoSQL (MySQL, MongoDB, Redis)
  • Monitoring, Logging, Security & Compliance
Key Responsibilities

  • Design & implement GenAI and predictive models
  • Develop agentic systems and autonomous AI agents
  • Architect and integrate AI applications with APIs
  • Deploy and maintain AI models in production
  • Research emerging AI trends and integrate new tools
  • Lead demos, proposals, and mentor junior team members

About the Company

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Purple Drive