AIOps Technical Associate

Overview

22-month W2 Contract (No C2C/No Visa Sponsorship/No Student Sponsorship).
Max rate for FL: $77.50, for CA/WA: $91.00 (no PTO and no paid holidays).
Hybrid role: 2-4 days/week onsite in Orlando, Glendale, Anaheim, or Seattle.
All submissions must include a completed questionnaire for client review.

2‑4 years in Operations/Technical Operations (MLOps, AIOps, Data Ops, Platform Ops, or similar).
Must have experience with AI/ML concepts and Cloud Cost Management / Fin Ops.

Required:

GCP, SQL, reporting tools, basic Python, and monitoring/observability tools.

• Manage operational workflows for model deployments, updates, and versioning across GCP, Azure, and AWS.
• Monitor model performance metrics: latency, throughput, error rates, token usage, and inference quality.
• Track model drift, accuracy degradation, and performance anomalies—escalating to engineering as needed.
• Support knowledge base operations including vector embedding pipeline health, chunk quality, and refresh cycles in Vertex AI.
• Maintain model inventory and documentation across multi‑cloud environments.
• Coordinate model evaluation cycles with Responsible AI and Core Engineering teams.

• Monitor AI agent health, performance, and reliability (Auto Gen‑based agents, MCP servers).
• Track agent execution metrics: task completion rates, tool call success/failure, latency, and error patterns.
• Support agent deployment and configuration management workflows.
• Document agent behaviors, known issues, and operational runbooks.
• Coordinate with Core Engineering on agent updates, testing, and rollouts.
• Monitor MCP server availability, connection health, and integration status.

• Track and analyze AI/ML cloud spend across GCP (Vertex AI), Azure (OpenAI), and AWS (Bedrock).
• Build cost dashboards with breakdowns by model, application team, use case, and environment.
• Monitor token consumption, inference costs, and embedding/storage costs.
• Identify cost optimization opportunities—model selection, caching, batching, rightsizing.
• Provide cost allocation reporting for chargeback/showback to consuming application teams.
• Forecast spend trends and flag budget anomalies.
• Partner with Infrastructure and Finance teams on AI cost governance.

• Build and maintain dashboards for platform performance, model health, agent metrics, and operational KPIs.
• Create executive and stakeholder reports on platform adoption, usage trends, and cost allocation.
• Develop Responsible AI dashboards tracking hallucination rates, accuracy metrics, guardrail triggers, and safety incidents.
• Monitor APIGEE gateway traffic patterns and API consumption trends.
• Provide regular reporting to product management on use case performance.

• Support release management processes with pre/post‑deployment validation checks.
• Track release health metrics for models, agents, and platform components.
• Maintain release documentation, runbooks, and operational playbooks.
• Coordinate with QA, Performance Engineering, and Infrastructure teams during releases.

• Monitor guardrail effectiveness and flag anomalies to the Responsible AI team.
• Track and report on hallucination detection, content safety triggers, and accuracy trends.
• Support LLM Red Teaming efforts by collecting and organizing evaluation data.
• Maintain audit logs and compliance documentation for AI governance.

• Serve as operational point of contact for application teams consuming DxT AI APIs.
• Coordinate with Corporate Security on audit requests and compliance reporting.
• Partner with Infrastructure team on capacity tracking and resource utilization.
• Support Performance Engineering with load test analysis and results documentation.

• 2‑4 years in an Ops, Analytics, or Technical Operations role (MLOps, AIOps, Data Ops, Platform Ops, or similar).
• Understanding of AI/ML concepts: models, inference, embeddings, vector databases, LLMs, tokens, prompts.
• Experience with cloud cost management and Fin Ops—tracking, analyzing, and optimizing cloud spend.
• Strong proficiency with dashboarding…