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AIOps Engineering Lead (W2 candidate only)

Metalight Solutions Inc

Hybrid in Chicago, Illinois • Today

Easy Apply

Contract

$50 - $60

Metalight Solutions Inc

Job Details

Skills

GCP
Vertex AI
Databricks
Kubernetes
python
CI/CD
LLM
RAG
ML
Production ML
Agentic AI

Summary

Job Title: AIOps Engineering Lead
Location: Chicago, IL (3days On-Site, 2days Remote)
Position Type: Contract (W2 Candidate Only)

Strong Experience Combining: Google Cloud Platform + Vertex AI + Databricks + Kubernetes + Python + CI/CD + LLM/RAG + Production ML + Observability + Data Engineering + Security.

Position Overview

We are seeking a highly experienced AIOps Engineering Lead to drive the deployment, operational reliability, observability, and continuous delivery of enterprise AI systems across Google Cloud Platform (Google Cloud Platform) and Databricks.

The ideal candidate will combine strong AI/ML engineering, cloud infrastructure, DevOps/MLOps, and production operations expertise. This person will be responsible for operationalizing LLM, RAG, Agentic AI, multimodal, and predictive ML workloads in enterprise production environments.

This is a hands-on technical leadership role requiring strong experience with production AI systems, Google Cloud Platform, Kubernetes, Python, CI/CD, observability, security, data engineering, and incident management.

Key Responsibilities

Own the SLO/SLA, production readiness, reliability, and operational posture of enterprise AI services.
Lead production incident management including triage, mitigation, root-cause analysis (RCA), remediation, and prevention automation.
Deploy and operationalize LLM, RAG, Agentic AI, multimodal, and ML systems using scalable Google Cloud Platform-native and Databricks architectures.
Build and standardize automated AI/ML pipelines covering versioning, testing, deployment, monitoring, rollback, and release management.
Establish comprehensive observability across application performance, model quality, data quality, drift, safety, latency, errors, throughput, and cost.
Optimize AI workloads for GPU/CPU utilization, autoscaling, performance, throughput, and cloud cost efficiency.
Implement enterprise security and governance controls covering IAM, secrets management, auditability, lineage, approvals, and Responsible AI.
Partner with AI/ML engineers, data engineers, DevOps teams, architects, product teams, and offshore engineering teams.
Act as the technical lead for production AI operations and drive cross-functional execution.
Develop reusable platform templates, reference architectures, golden paths, deployment patterns, and operational runbooks.
Continuously improve automation, reliability, deployment processes, monitoring, and incident prevention.

Required Technical Skills

AI / ML / GenAI

Strong hands-on experience operating LLM and RAG applications in production.
Experience with Agentic AI / AI agents and enterprise AI workloads.
Experience supporting production machine learning systems and pipelines.
Understanding of model monitoring, data drift, model quality, AI safety, and AI governance.

Google Cloud Platform

Strong hands-on experience with:

Google Cloud Platform (Google Cloud Platform)
Vertex AI
Cloud Run
Pub/Sub
Cloud Build
BigQuery

Data & ML Platforms

Databricks
Apache Airflow / Cloud Composer
Data engineering and schema governance
Batch and streaming data processing

DevOps / Platform Engineering

Python
Docker
Kubernetes
CI/CD
Production deployment and release automation
Infrastructure/platform automation
Monitoring and observability

Security & Governance

Cloud IAM
Secrets management
Auditability and compliance
Data/model lineage
Production approvals and governance
Responsible AI controls

Preferred Qualifications

Experience with Google ADK or similar agentic AI frameworks.
Experience building internal AI/ML platforms or reusable engineering frameworks.
Contributions to internal platforms, reusable templates, reference architectures, or open-source tooling.
Experience with enterprise-scale AI operations and production reliability.
Strong stakeholder management and communication skills.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91172362
Position Id: 9063838
Posted 7 hours ago

Company Info

About Metalight Solutions Inc

Metalight Solutions is a modern talent solutions partner helping organizations across the US and Canada build high-performing teams through intelligent, scalable hiring solutions. We specialize in delivering top-tier talent across IT, Non-IT and Engineering domains, supporting businesses in fast-moving and competitive markets.

By combining high-level sourcing strategies, deep market intelligence, and human expertise, we identify candidates who are not only qualified, but aligned with business goals, culture, and long-term success. From Contract, C2C, Contract-to-Hire, to Permanent Hiring, we provide agile workforce solutions designed for today’s evolving business needs.

Our approach is built on speed, precision, and quality execution. With strong talent networks, data-driven recruitment strategies, and a delivery-focused mindset, we help clients close critical roles faster while maintaining hiring excellence.

We partner with startups, staffing firms, SMBs, and enterprise organizations, adapting seamlessly to diverse hiring models while ensuring transparency, responsiveness, and accountability at every stage.

At Metalight Solutions, we go beyond staffing, we enable growth by connecting businesses with the right talent, powered by technology and driven by results.

Go to company profile

Fitment

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Aman Dhangar

Recruiter @ Metalight Solutions Inc

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Metalight Solutions Inc

Job Details

Skills

GCP
Vertex AI
Databricks
Kubernetes
python
CI/CD
LLM
RAG
ML
Production ML
Agentic AI

Summary

Job Title: AIOps Engineering Lead
Location: Chicago, IL (3days On-Site, 2days Remote)
Position Type: Contract (W2 Candidate Only)

Strong Experience Combining: Google Cloud Platform + Vertex AI + Databricks + Kubernetes + Python + CI/CD + LLM/RAG + Production ML + Observability + Data Engineering + Security.

Position Overview

Key Responsibilities

Own the SLO/SLA, production readiness, reliability, and operational posture of enterprise AI services.
Lead production incident management including triage, mitigation, root-cause analysis (RCA), remediation, and prevention automation.
Deploy and operationalize LLM, RAG, Agentic AI, multimodal, and ML systems using scalable Google Cloud Platform-native and Databricks architectures.
Build and standardize automated AI/ML pipelines covering versioning, testing, deployment, monitoring, rollback, and release management.
Establish comprehensive observability across application performance, model quality, data quality, drift, safety, latency, errors, throughput, and cost.
Optimize AI workloads for GPU/CPU utilization, autoscaling, performance, throughput, and cloud cost efficiency.
Implement enterprise security and governance controls covering IAM, secrets management, auditability, lineage, approvals, and Responsible AI.
Partner with AI/ML engineers, data engineers, DevOps teams, architects, product teams, and offshore engineering teams.
Act as the technical lead for production AI operations and drive cross-functional execution.
Develop reusable platform templates, reference architectures, golden paths, deployment patterns, and operational runbooks.
Continuously improve automation, reliability, deployment processes, monitoring, and incident prevention.

Required Technical Skills

AI / ML / GenAI

Strong hands-on experience operating LLM and RAG applications in production.
Experience with Agentic AI / AI agents and enterprise AI workloads.
Experience supporting production machine learning systems and pipelines.
Understanding of model monitoring, data drift, model quality, AI safety, and AI governance.

Google Cloud Platform

Strong hands-on experience with:

Google Cloud Platform (Google Cloud Platform)
Vertex AI
Cloud Run
Pub/Sub
Cloud Build
BigQuery

Data & ML Platforms

Databricks
Apache Airflow / Cloud Composer
Data engineering and schema governance
Batch and streaming data processing

DevOps / Platform Engineering

Python
Docker
Kubernetes
CI/CD
Production deployment and release automation
Infrastructure/platform automation
Monitoring and observability

Security & Governance

Cloud IAM
Secrets management
Auditability and compliance
Data/model lineage
Production approvals and governance
Responsible AI controls

Preferred Qualifications

Experience with Google ADK or similar agentic AI frameworks.
Experience building internal AI/ML platforms or reusable engineering frameworks.
Contributions to internal platforms, reusable templates, reference architectures, or open-source tooling.
Experience with enterprise-scale AI operations and production reliability.
Strong stakeholder management and communication skills.

Dice Id: 91172362
Position Id: 9063838
Posted 7 hours ago

Company Info

About Metalight Solutions Inc

At Metalight Solutions, we go beyond staffing, we enable growth by connecting businesses with the right talent, powered by technology and driven by results.

Go to company profile

Fitment