AI Technical Architect

Richardson, TX - USA

Monthly Salary: Not Disclosed

Posted on: 13 hours ago

Vacancies: 1 Vacancy

Job Summary

AI Technical Architect
Location: Richardson TX Onsite Candidate should go to the office 3 days a Week
Contract

Key Responsibilities
Define AI/ML reference architecture and solution blueprints (batch/streaming ML LLMRAG multimodal).
Lead end to end solution design: data ingestion feature stores model training inference monitoring.
Architect LLM applications (chatbots copilots agents summarization classification) with RAG evaluation safety and guardrails.
Own MLOps/LLMOps: CI/CD for models model registry feature store lineage observability drift and cost monitoring.
Choose the right cloud and runtime (managed services vs. self hosted; GPU/CPU; serverless vs. containerized).
Establish security compliance and governance (PII handling encryption auditability Responsible AI).
Collaborate with product and business stakeholders to translate requirements into architectural decisions and delivery plans.
Perform technical spikes/POCs benchmark models/infrastructure and lead Architecture Reviews.
Create and maintain standards patterns and reusable components; mentor engineers across teams.
Drive performance & cost optimization (throughput/latency/SLA/SLO; caching; quantization/distillation; autoscaling).
Support vendor/product evaluations (cloud AI services vector DBs orchestration frameworks monitoring).

Required Qualifications
Bachelors/Masters in Computer Science Engineering Data/AI or related field.
15 years of overall engineering experience with 4 years in AI/ML solution architecture.
Proven experience designing and deploying AI systems in production at scale (LLM and/or classical ML).
Strong hands on proficiency in Python and cloud-native architectures (AWS/Azure/GCP).
Must Have Technical Skills

AI/ML & LLM Architecture
Designing LLM/RAG systems: retrieval pipelines chunking strategies embeddings reranking prompt/response orchestration evaluation and safety.
Model life cycle: fine tuning PEFT/LoRA quantization/distillation latency & cost management.
Classical ML/NLP: feature engineering model selection training cross validation metrics A/B testing.
MLOps / LLMOps
CI/CD for ML (model/version promotion) feature stores model registry lineage and drift detection.
Inference stacks: Torch/TensorFlow vLLM/TGI/ONNX GPU orchestration autoscaling APM.
Pipelines & orchestration: Airflow Kubeflow MLflow SageMaker Vertex AI Azure ML.

AI Technical Architect Location: Richardson TX Onsite Candidate should go to the office 3 days a Week Contract Key Responsibilities Define AI/ML reference architecture and solution blueprints (batch/streaming ML LLMRAG multimodal). Lead end to end solution design: data ingestion fea...

AI Technical Architect
Location: Richardson TX Onsite Candidate should go to the office 3 days a Week
Contract