Technical Architect

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. Referrals increase your chances of interviewing at Apar Technologies by 2x. Benefits Medical insurance Vision insurance 401(k) Paid maternity leave Paid paternity leave #J-18808-Ljbffr Apar Technologies