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Gen AI Lead Architect

Gen AI Lead Architect

Purple DriveSan Antonio, TX, Texas, USA
30+ days ago
Job type
  • Full-time
Job description

Job Title : Lead AI / GenAI Architect

Location : San Antonio or Plano, TX (Hybrid – 4 days onsite / week)

Experience Required : 9+ Years

Job Type : Contractual

About the Role :

We are seeking a highly skilled Lead AI / GenAI Architect to guide the architecture and implementation of Generative AI applications and systems. The ideal candidate will be responsible for building end-to-end AI solutions using foundational models, vector databases, and modern AI pipelines. You will lead a team of engineers and collaborate closely with cross-functional stakeholders to deliver scalable, high-impact GenAI products.

Key Responsibilities :

  • Own and define GenAI solution architecture including :

Model selection and fine-tuning strategies

  • Retrieval-Augmented Generation (RAG) pipelines
  • Vector database integration
  • Prompt engineering workflows
  • Lead the design and development of robust, scalable Generative AI applications.
  • Collaborate with Data Scientists, MLOps teams, Cloud Engineers, and Product Managers to ensure safe, secure, and compliant AI deployments.
  • Deploy ML models from development to production and support ongoing troubleshooting and optimization.
  • Rapidly develop and iterate on Minimum Viable Products (MVPs) in a dynamic environment.
  • Mentor and provide technical guidance to a team of 7–8 engineers.
  • Communicate technical updates and architecture decisions clearly to both technical and non-technical stakeholders.
  • Identify and solve complex architecture and infrastructure challenges proactively.

    • Required Skills & Experience :

  • 5+ years of experience in software development with a strong focus on Python.
  • Advanced proficiency in :

    • Data engineering principles

  • SQL and database design
  • API development (FastAPI preferred)
  • Hands-on experience with :

    • Apache Kafka

  • Snowflake (or similar data platforms)
  • ML engineering and production model deployment
  • GenAI frameworks (LangChain, PyTorch, or equivalent)
  • Cloud AI platforms (preferably GCP Vertex AI)
  • Excellent understanding of software development lifecycle, testing, deployment, and operational best practices.
  • Strong communication and collaborative skills.
  • Ability to thrive in fast-paced environments and adapt to changing requirements.

    • Preferred Skills :

  • Experience with :

    • Java development (including Spring Boot and Java APIs)

  • dbt (Data Build Tool)
  • JavaScript and front-end development
  • Familiarity with multiple cloud platforms, especially GCP and AWS.

    • Qualifications :

  • Bachelor's or master's degree in computer science, Engineering, or a related field.
  • Additional certifications in AI / ML, software architecture, or cloud platforms are a plus.
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    Gen Ai Architect • San Antonio, TX, Texas, USA

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