AI Technical Architect

Yantran LLC

RICHARDSON, MA

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JOB DETAILS

SKILLS

A/B Testing, Amazon Web Services (AWS), Architectural Services, Artificial Intelligence (AI), Autoscaling, Benchmarking, Blueprints, CPU (Central Processing Unit), Caching, Cloud Architecture, Cloud Computing, Computer Science, Conversation Engine, Cost Control, Cryptography, Engineering, GCP (Good Clinical Practices), GPU (Graphics Processing Unit), Mentoring, Metrics, Microsoft Windows Azure, Natural Language Processing (NLP), Organizational Skills, Product Support, Product Testing, Production Systems, Python Programming/Scripting Language, Requirements Management, Service Level Agreement (SLA), Shallow Parsing, Standards Development

LOCATION

RICHARDSON, MA

POSTED

30+ days ago

AI Technical Architect
Location: Richardson, TX – Onsite – Candidate should go to the office 3 days a Week
- Please look for Local Candidates
Full-time / Contract
Key Responsibilities
Define AI/ML reference architecture and solution blueprints (batch/streaming ML, LLM+RAG, 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
Bachelor’s/Master’s 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.
*** is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodation also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at
***
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About the Company

Yantran LLC

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