AI ML Solution Architect

Job Description

Must Have Technical/Functional Skill

Python (PyTorch/Tensor Flow), SQL, API design; familiarity with Lang Chain/Llama Index, Azure/AWS AI, Git Hub, Docker, Kubernetes

• 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.
• Author 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).

Salary Range $150,000-$180,000 Per year

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support:
  Maternal & Parental Leaves.
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

BACHELOR OF COMPUTER SCIENCE