Position : Technical Architect Generative AI (Hands-on) Location : Richardson, TX (3 Days a week Hybrid) Experience : 10+ years overall, 3+ years in AI / ML, 1.5+ year in Generative AI Type : Full-time / Contract Vetting Flow Level 1 - Technical Interview Level 2 - Delivery Interview Level 3 - 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 .Proven expertise in designing end-to-end GenAI or RAG solutions .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, Google Cloud Platform .