Senior AI/ML Platform Architect

your Jared; Northern, San Diego (KY, CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Fully remote, work from home

Employee Share Option Plan

Flexible working hours

Paid Time-Off

Periodic in-person offsites globally

Continued education support

Advancement opportunity

Job summary

ProveAI in San Diego seeks a senior AI/ML Engineer to lead end-to-end strategy, architecture, and productionization of ML/LLM workloads. You will own model deployment, observability, and scalable data pipelines across distributed systems, guiding cross-functional teams to reliable, safe, and cost-effective AI capabilities.

The role demands 10+ years of software/AI experience, deep ML expertise, and strong leadership to drive enterprise-grade GenAI initiatives.

Qualifications

• 10+ years of software engineering with recent hands-on AI/ML development.
• Bachelor’s degree in CS or related field.
• Deep technical expertise in ML, LLMs, transformers, and modern AI frameworks.
• Production AI/ML deployment experience at scale.
• Strong Python; Java/C++/JS a plus.
• Experience with data engineering workflows and scalable pipelines.
• Expertise with AWS/GCP/Azure, containers, Kubernetes, and distributed systems.
• Hands-on AI/MLOps: deployment, monitoring, CI/CD, experiment tracking.
• Proven leadership managing 10+ engineers and cross-functional teams.
• Translate business needs into clear technical requirements and outcomes.
• LLM productionization including finetuning, RAG, safety, evaluation.
• Experience with Kubeflow, Vertex AI, SageMaker or similar platforms.
• Background in model governance, drift detection, fairness evaluation, compliance.
• Domain specialization in NLP, CV, recommender systems, or agentic systems.

Responsibilities

• Define and own architecture for scalable AI/ML systems, incl. training, fine-tuning, inference, evaluation, monitoring.
• Translate business needs into robust AI/ML designs and staged delivery plans.
• Make strategic model choices and integration decisions for MLOps and safety.
• Lead design reviews and technical decision-making across teams.
• Build and deploy production-grade AI/ML/LLM models from concept to rollout.
• Set standards for readiness, gates, drift, observability, and performance.
• Partner with engineering to integrate models into distributed systems with SLOs.
• Design data pipelines, feature stores, and data quality/traceability workflows.
• Develop scalable AI/MLOps practices for automation of training and testing.
• Evaluate AI/ML orchestration platforms and CI/CD for AI/ML workflows.
• Own evaluation pipelines: latency, accuracy, cost, and model insights.
• Instrument tracing and observability using telemetry standards.
• Implement guardrails/safety systems for consistent behavior of AI features.
• Collaborate with product/leadership to shape platform strategy and roadmap.
• Provide trade-off analyses on performance, security, and maintainability.
• Write technical docs and recommendations for decision-makers.
• Mentor engineers in AI/ML best practices and governance.
• Support hiring, leveling, and growth of the engineering team.

Skills

AI/ML development

Python

AWS/GCP/Azure

LLMs

Kubernetes

Distributed systems

Data pipelines

Model evaluation

Leadership

Transformers

Education

Bachelor’s degree in CS or related field

Master’s or PhD in CS/ML

Tools

Kubeflow

Vertex AI

SageMaker

MLflow

CI/CD for ML

Job description

ProveAI in San Diego seeks a senior AI/ML Engineer to lead end-to-end strategy, architecture, and productionization of ML/LLM workloads. You will own model deployment, observability, and scalable data pipelines across distributed systems, guiding cross-functional teams to reliable, safe, and cost-effective AI capabilities.

The role demands 10+ years of software/AI experience, deep ML expertise, and strong leadership to drive enterprise-grade GenAI initiatives.