Technical Architect – Generative AI (Hands‑on)
Location: Richardson, TX (Hybrid, 3 days a week)
Experience: 10+ years overall, 3+ years in AI/ML, 1.5+ years in Generative AI
Type: Full‑time / Contract
Vetting Flow
- Technical Interview
- Delivery Interview
- Face‑to‑face interview at Richardson, TX
Role Overview
We are seeking a hands‑on Technical Architect specializing in Generative AI to lead the design and implementation of next‑generation AI solutions. The ideal candidate will be both a strategic thinker and a practical builder—comfortable designing architectures and developing proof‑of‑concepts using modern AI frameworks and large language models (LLMs).
Key Responsibilities
- Architect and build GenAI and LLM‑based applications leveraging frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
- Design and deploy Retrieval‑Augmented Generation (RAG) pipelines and integrate LLMs with enterprise systems and APIs.
- Collaborate with data scientists and product teams to deliver production‑grade AI systems.
- Evaluate emerging models, vector databases, and tools in the GenAI ecosystem for scalability and performance.
- Lead technical design reviews, mentor engineers, and ensure adherence to best practices in AI architecture.
Required Skills
- Strong proficiency in Python and hands‑on experience with OpenAI, Anthropic, Mistral, or Azure OpenAI APIs.
- Experience with vector databases (Pinecone, FAISS, Chroma) and embedding models.
- Knowledge of AI architecture patterns, including prompt chaining, multi‑agent workflows, and tool orchestration.
- Strong communication and stakeholder management skills.
Preferred Skills
- Experience with LLMOps, LangGraph, or AI platform engineering.
- Exposure to multimodal AI (text, image, or audio).
- Cloud expertise in AWS, GCP.
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Benefits
- Medical insurance
- Vision insurance
- 401(k)
- Paid maternity leave
- Paid paternity leave