Search Jobs | Dice.com

1 results (0 new)

Group by company

AI Ops Engineer || Hybrid in Johnston, RI & Phoenix, AZ & Dallas, TX & Charlotte , NC

Value Spectrum Technologies LLC

Remote or Hybrid in Phoenix, Arizona • 17d ago

Easy Apply

Third Party, Contract

$60 - $70

Value Spectrum Technologies LLC

Job Details

Skills

Amazon Web Services
DevOps
Docker
Dynatrace
Finance
Grafana
Machine Learning Operations (ML Ops)
Machine Learning (ML)
Artificial Intelligence

Summary

Title: AI Ops Engineer
Experience Required: 12+ Years

Location: Phoenix, AZ, Plano, TX & Remote

Employment Type: Contract W2 & C2C
Job Description:

We are seeking a highly skilled AI Ops Senior Architect to lead the design, implementation, and optimization of AI-driven operational platforms across large-scale, mission-critical environments. The ideal candidate will possess deep expertise in machine learning enabled operations, observability, automation frameworks, cloud engineering, and enterprise SRE/DevOps practices. This role will drive the transformation of traditional IT operations into intelligent, autonomous, self-healing systems.

The Senior Architect will collaborate with cross-functional engineering, cloud, platform, and data science teams to deliver predictive, proactive, and automated operational outcomes.

Key Responsibilities

AI-Driven Operations Architecture

Lead the architecture and implementation of AI-powered operational frameworks, including predictive analytics, anomaly detection, NLP-driven automation, and auto-remediation systems.
Define and evolve the overall AI Ops strategy, roadmap, standards, and governance.
Implement intelligent monitoring and decision models that enhance reliability and operational efficiency.
Architect solutions that integrate machine learning models into production operations workflows.

Observability, Monitoring & Automation

Design end-to-end observability ecosystems (metrics, logs, traces, topology, events) integrated with AI/ML platforms.
Build anomaly detection models using ML and time-series analysis to identify issues before failures occur.
Drive automated incident detection, impact assessment, and classification using AI-based models.
Implement proactive auto-healing and automated resolution workflows.

Cloud & Platform Engineering

Architect scalable AI Ops platforms using AWS, Azure, or Google Cloud Platform cloud-native services.
Design infrastructure and pipelines for AI-driven monitoring and operational insights.
Integrate AI Ops capabilities with Kubernetes, service mesh, cloud-native microservices, and distributed systems.
Optimize cost, performance, and reliability using intelligent orchestration and scaling.

Data Engineering & ML Ops Integration

Partner with data engineering teams to build robust data pipelines for operational data ingestion.
Work with ML Ops teams to operationalize ML models, including training, evaluation, deployment, and monitoring.
Ensure continuous retraining and drift detection for AI Ops models.
Define data taxonomies, quality standards, and metadata management for operational datasets.

SRE, DevOps & Automation Frameworks

Align AI Ops with SRE principles, SLIs, SLOs, and error budgets.
Integrate AI-driven insights into CI/CD pipelines and operational workflows.
Develop event-driven, automated runbooks using ML and rule-based systems.
Implement intelligent capacity planning, scaling, and resource optimization.

Security, Compliance & Governance

Ensure AI Ops solutions meet enterprise security, compliance, and audit requirements.
Define governance frameworks for AI model usage, transparency, and monitoring.
Collaborate with cybersecurity teams on intelligent threat detection and risk analysis.

Leadership & Collaboration

Provide architectural leadership and technical direction to engineering and operations teams.
Mentor teams on AI Ops concepts, automation, and intelligent operations.
Present architecture proposals and operational improvements to leadership stakeholders.
Influence enterprise-wide transformation toward autonomous operations.

Required Skills & Experience

10+ years of IT experience with 4+ years in SRE/DevOps/AI Ops.
Strong expertise in:
- AI Ops platforms (Moogsoft, Dynatrace Davis AI, BigPanda, New Relic AI, Datadog AIOps)
- Observability stacks (Prometheus, Grafana, ELK, Splunk, AppDynamics)
- ML pipelines and ML Ops tooling (SageMaker, Vertex AI, MLflow, Databricks)
- Cloud architectures on AWS / Azure / Google Cloud Platform
- Event-driven systems and automation tools
Strong programming/scripting in Python, Go, or Java for automation and ML integration.
Experience with Kubernetes, Docker, microservices, and distributed systems.
Deep understanding of time-series analysis, anomaly detection, NLP, and predictive analytics.
Experience operationalizing ML models and integrating them into production systems.

Preferred Qualifications

Certifications in cloud architecture or ML engineering.
Background in enterprise-scale SRE, observability, or operations automation.
Experience with LLM-based automation and AI agents for IT operations.
Experience in highly regulated industries (Finance, Healthcare, Telecom).

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: 91165686
Position Id: 9071996
Posted 17 days ago

Company Info

About Value Spectrum Technologies LLC

Step into a future defined by empowerment at Value Spectrum Technologies. With leading-edge software solutions and strategic consulting, were dedicated to shaping and elevating your digital tomorrow. Experience the synergy of innovation and collaboration as we unlock unparalleled opportunities for growth in the dynamic landscape of technology. Welcome to empowerment.

Join us in navigating the ever-evolving digital landscape with confidence, as we work together to unlock unprecedented opportunities and build a tomorrow that is truly empowered by the limitless possibilities of technology. Your digital future starts here.

Go to company profile

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Sandhyarani Chandanala

Recruiter @ Value Spectrum Technologies LLC

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Remote or Hybrid in Phoenix, Arizona

•

17d ago

Title: Senior Software Engineer - FullStack Experience Required: 11+ Years Location: Phoenix, AZ, Plano, TX & Remote Employment Type: Contract W2 & C2C Job Description: We are looking for a highly skilled Full Stack Software Engineer with strong hands-on experience in Node.js, TypeScript, and React and experience using AI Agent tools to join an enterprise API Discovery, Inventory, and Rationalization workstream. The engineer will design, develop, and maintain scalable full-stack applications th

Easy Apply

Third Party, Contract

$60 - $70

Business Analyst with Banking Domain || Hybrid in Johnston, RI & Phoenix, AZ & Dallas, TX & Charlotte , NC || W2 & C2C

Dallas, Texas

•

20d ago

Role:Business Analyst with Banking Domain Location:Hybrid in Johnston, RI & Phoenix, AZ & Dallas, TX & Charlotte, NC Experience:10+Job Summary:We are seeking an experienced Business Analyst with strong Banking/Financial Services domain expertise to bridge business requirements and technology solutions. The ideal candidate will have hands-on experience gathering and analyzing business requirements, documenting functional specifications, improving business processes, and working closely with busin

Easy Apply

Third Party, Contract

50 - 55

AWS Connect Engineer || Hybrid in Charlotte, NC || W2 & C2C

Charlotte, North Carolina

•

17d ago

Role:AWS Connect EngineerLocation:Hybrid in Charlotte, NC Experience:10+ Job Summary We are looking for an experienced AWS Connect Engineer with strong expertise in Terraform Infrastructure as Code (IaC) and AWS Connect Outbound Communications. The ideal candidate will design, develop, automate, and support scalable contact center solutions using AWS cloud services, with a focus on outbound communication workflows, campaign management, telephony integrations, and infrastructure automation. Key

Easy Apply

Contract, Third Party

Depends on Experience