AI Operations Engineer
Nextiva
| Company | Nextiva |
| Category | Engineering |
| Location | Scottsdale |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 14 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
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/gov
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