AI Enablement DevOps Specialist (Consultant)

AG Consulting Partners, Inc.•Issaquah, WA

3d•Hybrid

About The Position

We’re supporting a high-visibility enterprise client undergoing a major AI transformation initiative focused on modernizing how internal teams build, deploy, and scale work across engineering and operations. This organization is investing heavily in AI acceleration, workflow automation, and development lifecycle optimization to improve speed, governance, and long-term operational efficiency. They are seeking a senior-level DevOps Specialist who thrives at the intersection of infrastructure, systems thinking, and execution. This opportunity is ideal for someone who enjoys building scalable environments, improving deployment workflows, and creating operational frameworks that allow technical teams to move faster with less friction. This opportunity is structured as a W2 consulting role supporting a 4-month client project, with strong potential for extension based on performance and budget. This role is hybrid engagement where you'll be on-site in Issaquah, WA, three days a week.

Requirements

7+ years of experience in DevOps, cloud infrastructure, platform engineering, or technical consulting
Strong experience building CI/CD pipelines and deployment workflows in Microsoft environments
Experience supporting enterprise-scale SDLC modernization initiatives
Strong understanding of Azure environments, DevOps tooling, governance, and release processes
Experience with monitoring systems, telemetry, and production support models
Enterprise-level FTE or consulting experience supporting large, complex organizations is required.
Applicants must be authorized to work for any employer in the U.S. We are unable to provide assistance or sponsorship for employment Visas and Visa extensions at this time.

Nice To Haves

Experience supporting AI, Copilot, automation, or agentic workflow initiatives
Exposure to Power Platform, Power Automate, or enterprise AI tooling implementations
Experience designing governance guardrails for AI-enabled development environments

Responsibilities

Establish Dev → Test → Prod environment pipelines for scalable deployment readiness
Stand up Microsoft environments and support infrastructure required for implementation
Configure platform readiness including data inputs, environment variables, and deployment workflows
Set up centralized monitoring, telemetry, alerting, and operational dashboards
Review and document current-state SDLC processes across agile, waterfall, and hybrid delivery environments
Assess baseline metrics including cycle time, throughput, failure rates, and operational bottlenecks
Partner with Developers, Engineering Managers, TPMs, and Project Managers to identify tooling gaps and improvement opportunities
Support lightweight pilots to test AI tooling assumptions and implementation readiness
Help define governance standards for deployment policies, permissions, and operational procedures
Build operational handoff plans, escalation paths, and post-go-live support models
Support hypercare and elevated production support during rollout and stabilization phases