9 hours ago
Base Salary
$115k - $205k/yr
Responsibilities
- Architect, build, deploy, and operate production-grade AI systems and agentic workflows across the SDLC and business processes.
- Develop reusable internal AI platform services, infrastructure, patterns, and guardrails for secure production adoption.
- Own solutions end-to-end from problem definition and architecture through implementation, deployment, observability, security, scaling, and ongoing operations.
- Integrate AI models and agents with developer tooling, internal platforms, enterprise systems, APIs, data sources, and engineering workflows.
- Design AI evaluation, observability, quality measurement, failure-handling, and continuous-improvement approaches.
- Make architecture and technology decisions based on business outcomes, engineering constraints, risk, and total cost of ownership.
- Design and operate secure, reliable, scalable cloud-native workloads in GCP and/or AWS.
- Partner with infrastructure, DevOps, security, architecture, and engineering teams on reusable standards and operational guardrails.
- Identify opportunities to improve developer workflows across the end-to-end software development lifecycle.
- Evaluate AI models, frameworks, agent architectures, and developer technologies for business value.
- Provide Staff-level technical leadership through architecture reviews, design decisions, mentorship, and cross-team influence.
- Measure and optimize impact using production data, user feedback, and business results.
Requirements
- 10+ years of professional software engineering experience designing, building, and operating complex production-scale systems.
- Hands-on experience delivering AI/ML or generative AI solutions into production and/or achieving measurable business outcomes.
- Strong software architecture, system design, distributed-systems, and large-scale engineering experience.
- Production programming experience in one or more languages such as Java, Python, or Go.
- Hands-on experience with LLMs, generative AI, AI agents, or AI-enabled application architectures beyond basic AI productivity-tool use.
- Experience taking AI solutions from prototypes through deployment, operationalization, monitoring, security, reliability, and scale.
- Deep hands-on experience designing and operating cloud-native production systems with GCP and/or AWS.
- Strong understanding of DevOps, CI/CD, infrastructure as code, observability, reliability, and production operations.
- Strong understanding of application, infrastructure, data, and AI security and the ability to incorporate appropriate controls into architecture.
- Strong understanding of the software development lifecycle, developer workflows, and large software systems and codebases.
- Ability to evaluate technical trade-offs and select maintainable technologies based on business and operational requirements.
- Strong technical judgment in ambiguous, cross-functional problem spaces and the ability to influence direction across teams.
- Preferred experience with agentic AI systems, multi-step workflows, tool-using agents, or autonomous engineering workflows.
- Preferred experience applying AI to developer productivity, code generation, testing, code review, incident management, or other SDLC stages.
- Preferred experience building internal developer platforms, engineering productivity platforms, enterprise automation, AI evaluation frameworks, model or agent observability, prompt and context management, retrieval architectures, and production AI quality measurement.
- Preferred experience spanning traditional software engineering and AI engineering, and driving initiatives across multiple teams, systems, or organizational domains.
Benefits
- Remote work is available across the United States.
- Employees within 40 miles of the Scottsdale headquarters are expected to work onsite four days per week, with scheduling guided by their leader.
- Health plan options include medical, dental, vision, and telemedicine coverage.
- Life, disability, and supplemental indemnity insurance plans are available.
- Flexible Time Off is provided for salaried employees, with PTO for hourly employees, paid sick time, paid parental bonding leave, and holiday pay.
- Benefits include a 401(k) with company match, Health Savings Accounts with company contributions, and a Dependent Care FSA.
- Employee Assistance Program and wellness initiatives are provided.
- Employees receive ongoing learning and development opportunities and career advancement support.
Categories
About Nextiva
Nextiva builds a cloud-based customer experience platform combining VoIP, unified communications, and contact center software for businesses. It sells its products as SaaS, offering an AI-powered conversation hub to manage calls, messaging, and customer interactions. Founded in 2008 and headquartered in Scottsdale, Arizona, the privately held company serves 100,000+ businesses and raised $200M from Goldman Sachs Asset Management in 2021.