Senior Vice President, Senior Engineer

Job-:
Full-Stack Development

Location:

Pittsburgh, PA, United States

Schedule:

Full time, Day Posted:
Base Salary Min: 120000

Base Salary Max: 200000

We are seeking a Senior Vice President, Senior Engineer to join our Enterprise Contact Center Engineering team. This is a highly hands-on individual contributor role for a senior technologist who combines deep engineering expertise, strong architectural judgment, and a passion for applying AI to drive operational transformation.

Role Overview In this role, you will help advance the modernization of our enterprise contact center technology environment by designing, building, and implementing AI-enabled solutions that improve automation, efficiency, data analytics, and engineering productivity. You will partner closely with platform engineers, system administrators, and cross-functional stakeholders to identify practical opportunities to introduce modern software engineering and AI capabilities across the platform.

This opportunity is well suited for an experienced engineer who enjoys solving complex enterprise challenges, working across infrastructure and application layers, and delivering scalable solutions from concept through production. The ideal candidate is a strong builder with the ability to evaluate emerging technologies, define sound architecture, and remain deeply involved in hands-on development.

Key Responsibilities Design, develop, test, and deploy AI-enabled applications, tools, and automation solutions that support the Enterprise Contact Center Engineering platform

Partner with engineering, infrastructure, and system administration teams to enhance operational capabilities through software development and AI-driven innovation

Identify opportunities to reduce manual effort, streamline workflows, and improve operational efficiency through scalable automation

Build capabilities that enhance resiliency, observability, service quality, and engineering productivity

Develop data and analytics solutions that transform operational and service information into meaningful, actionable insights

Define and implement scalable, secure, and maintainable architecture patterns aligned with enterprise standards

Evaluate emerging AI technologies and apply them in practical ways that improve engineering workflows and customer experience support functions

Drive adoption of AI development practices across the platform through reusable patterns, enablement, and hands-on delivery

Integrate solutions across APIs, enterprise platforms, data environments, cloud services, and engineering tool chains

Serve as a senior technical individual contributor, independently leading solution design and direct implementation

Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience
12+ years of overall technology experience, including substantial experience in software engineering, platform engineering, or enterprise application development8+ years of hands-on experience designing, building, and delivering scalable production-grade solutions5+ years of experience operating at a senior technical level with architecture, design, and enterprise integration responsibilities

Strong proficiency in one or more modern programming languages such as Python, JavaScript, and/or Type Script Demonstrated  experience building automation, analytics, or AI-enabled solutions in complex enterprise environments

Experience working in AI-assisted development environments using tools such as Devin, Claude Code, and Codex Strong understanding of system integration, APIs, distributed application design, and enterprise software development practices

Solid architectural foundation with the ability to design solutions that are secure, scalable, resilient, and supportable

Experience with modern software development lifecycle practices, including version control, testing, CI/CD, release management, and production support

Strong collaboration, communication, and problem-solving skills, with the ability to work effectively across technical disciplines

Preferred Qualifications Experience in enterprise contact center engineering, customer experience technology, or similarly complex operational platforms

Familiarity with Genesys Cloud and its role within modern contact center ecosystems

Experience evaluating or applying AI capabilities within customer experience or service operations environments, including familiarity with Gemini for CX and Sierra.ai Experience building or…