Role - AI ML Solution Architect
Location - Raritan, NJ
Duration - Fulltime Role
Must Have Technical/Functional Skill
Python (PyTorch/TensorFlow), SQL, API design; familiarity with LangChain/LlamaIndex, Azure/AWS AI,
GitHub, Docker, Kubernetes
Roles & Responsibilities
• Define end-to-end AI/ML and GenAI architectures (data ingestion → feature store → model training → inference → monitoring).
• Design LLM-based solutions: RAG pipelines, prompt orchestration, guardrails, policy enforcement, and human-in-the-loop workflows.
• Select appropriate models (open source vs. hosted foundation models), vector databases, embedding strategies, and retrieval frameworks.
• uthor architecture artifacts: context diagrams, sequence diagrams, deployment topology, decision records, security controls, and data lineage.
• Lead data architecture for AI workload data quality, labeling, metadata, PII handling, and de-identification.
• Establish MLOps: CI/CD for models, feature store, model registry, automated evaluation, canary rollout, A/B testing, drift monitoring.
• Optimize cost and performance for training/inference (GPU/TPU selection, quantization, distillation, batching).
• Ensure data privacy, consent, and secure access (role-based control, encryption, KMS, secret management).
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Location - Raritan, NJ
Duration - Fulltime Role
Must Have Technical/Functional Skill
Python (PyTorch/TensorFlow), SQL, API design; familiarity with LangChain/LlamaIndex, Azure/AWS AI,
GitHub, Docker, Kubernetes
Roles & Responsibilities
• Define end-to-end AI/ML and GenAI architectures (data ingestion → feature store → model training → inference → monitoring).
• Design LLM-based solutions: RAG pipelines, prompt orchestration, guardrails, policy enforcement, and human-in-the-loop workflows.
• Select appropriate models (open source vs. hosted foundation models), vector databases, embedding strategies, and retrieval frameworks.
• uthor architecture artifacts: context diagrams, sequence diagrams, deployment topology, decision records, security controls, and data lineage.
• Lead data architecture for AI workload data quality, labeling, metadata, PII handling, and de-identification.
• Establish MLOps: CI/CD for models, feature store, model registry, automated evaluation, canary rollout, A/B testing, drift monitoring.
• Optimize cost and performance for training/inference (GPU/TPU selection, quantization, distillation, batching).
• Ensure data privacy, consent, and secure access (role-based control, encryption, KMS, secret management).
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.