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AI Operations Engineer

Nextiva · Scottsdale
Full-timeCorporate StrategyGeneral$179,000–$241,000/yr
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About the AI Operation Engineer role

AI Operation Engineer positions focus on delivering results in their domain. This page aggregates open AI Operation Engineer roles and what employers typically expect.

Redefine the future of customer experiences. One conversation at a time. At Nextiva, we’re reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation centric platform. Powered by AI, driven by human innovation. Our culture is forward thinking, customer obsessed and built on the belief that meaningful connections drive better business outcomes. Whether it’s through our signature Amazing Service®, the technology we create, or the experiences we cultivate, connection is at the core of who we are. If you’re ready to collaborate with incredible people, make an impact, and help businesses everywhere deliver truly amazing experiences, this is where you belong. Location: This is an onsite role based at Nextiva’s Scottsdale headquarters (9451 E. Via de Ventura, Scottsdale, AZ 85256). Working together onsite strengthens how we operate, enabling faster decisions, clearer communication, and stronger execution, so you can make a greater impact and move work forward with speed and clarity. In-Office Expectation: This role is expected to work onsite five days per week, supporting a highly collaborative, in-person team environment. As an AI Engineer on Nextiva’s AI Operations team within Corporate Strategy, you’ll build, ship, and maintain AI-powered tools that change how the business operates. This is a hands-on role focused on turning ideas into working systems, from prototypes to production. You’ll work across the full stack, building internal AI tools and integration pipelines that connect directly to business workflows — and redesigning those workflows around what AI makes possible. You’ll help shape Nextiva’s internal AI platform and drive measurable improvements in how teams operate. Top 3 Outcomes (first 12 months) Build and deploy AI-powered applications that accelerate workflows and improve internal velocity across departments Re-engineer core business processes — not by layering AI onto existing workflows, but by restructuring how work gets done to improve efficiency and operating leverage Serve as a technical leader within AI Operations, mentoring interns, guiding architectural decisions, and leading technical interviews for team growth Key Responsibilities Lead end-to-end design, development, and deployment of internal AI-powered applications (tools, workflows, agents). Identify, scope, and re-engineer business processes where AI can remove manual effort and improve outcomes. Architect and build integration frameworks and Python-based orchestration that connect AI tools to business systems. Work with IT, Security, and DevOps to ensure safe and scalable deployment practices. Own delivery within the tiered build model (no-code <1 day, low-code <5 days, custom <4 weeks) and maintain development velocity targets. Define technical standards, documentation, and best practices for reliability, quality, and observability. Contribute to internal enablement programs to drive company-wide AI adoption. Requirements Must-have Proven ability to build, ship, and scale production AI-powered applications Strong Python skills and experience with frameworks like FastAPI Experience mapping and re-engineering business processes, with a focus on automation and measurable efficiency gains Demonstrated leadership in mentoring or technical hiring. Excellent communication and documentation skills; ability to collaborate with technical and non-technical stakeholders. Security-first mindset and experience managing data access/governance. Preferred Experience in enterprise SaaS or high-growth tech environments. Experience with internal tool development and rapid prototyping. Understanding of Salesforce, productivity workflows, or revenue operations. Tools & Tech Stack Languages & Frameworks: Python (FastAPI), TypeScript (React) Infrastructure: Docker, Gunicorn, Nginx, GitHub Actions, GCP, CI/CD, internal API frameworks Nextiva DNA (Core Competencies) Nextiva’s most successful team members share…

Salary estimate

$179,000 – $241,000/yr
Provided by the employer.

Skills for this role

TypescriptReactPythonGCPDockerCi/CdSalesforceCommunicationLeadershipDevopsSecurityAutomation

Resume tips for AI Operation Engineer applicants

Interview preparation

Prepare concrete STAR-format stories that show AI Operation Engineer outcomes you drove.

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Have thoughtful questions ready about the team, tools and success metrics.

About Nextiva

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