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) pipelinesVector database integrationPrompt engineering workflowsLead 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 designAPI development (FastAPI preferred)Hands-on experience with :Apache Kafka
Snowflake (or similar data platforms)ML engineering and production model deploymentGenAI 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 developmentFamiliarity 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.