Principal Engineer - Software Development

Job Description

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life.

What you’ll be doing...

Our Digital suite of applications enable us to serve our customers through a variety of channels across web and app. It also allows us to provide a seamless Self-Service option anywhere and anytime for the convenience of our customers. You’ll be part of the Digital Technology team, responsible for architecting, designing, developing, enhancing and maintaining eCommerce, Account maintenance and support transactions by infusing AI into the customer experience and journey. In addition, you’ll join the core team that’s developing and promoting DevOps and cloud adoption across various sales and web service applications. We’re pushing ourselves to be nimbler and more efficient as we redefine the Digital landscape and you’ll play a meaningful role.

This role requires a visionary technology leader who will champion the integration of Generative AI technologies into our projects. The ideal candidate will leverage their expertise to drive innovation, enhance product offerings, and create efficient solutions that align

with our strategic goals.

Leading the technology charter for the Digital Sales experiences and solutioning using the latest technology stack infusing AI into the product development

Innovation

• Championing the adoption of Generative AI technologies across the organization.

• Identifying emerging trends and opportunities in AI and propose innovative solutions.

• Fostering a culture of creativity and experimentation within the team.

Architectural Design

• Designing and developing scalable, robust AI architectures that support generative models.

• Ensuring alignment of AI solutions with overall business strategy and technology frameworks.

Collaboration and Stakeholder Engagement:

• Working closely with cross-functional teams (product management, data science, engineering) to integrate AI capabilities into products.

• Engaging with stakeholders to gather requirements and ensure AI solutions meet business needs

Prototyping and Development

• Leading the prototyping of new AI solutions and pilot projects to evaluate feasibility and impact.

• Collaborating with data scientists and engineers to implement and refine generative models.

Knowledge Sharing and Training

• Conducting workshops and training sessions to educate team members on Generative AI technologies and best practices.

• Sharing insights and case studies to inspire innovative thinking within the team.

Performance Monitoring and Improvement:

• Establishing metrics to evaluate the performance and effectiveness of AI solutions.

• Continuously assessing and optimizing AI models and algorithms for better accuracy and efficiency.

Compliance and Ethical Considerations:

• Ensuring that AI implementations adhere to ethical standards and regulatory requirements.

• Advocating for responsible AI practices within the organization.

• Developing highly-available applications and service stacks in production environments.

Providing architectural oversight for systems and services

• Promoting, implementing, and educating about Agile software development

• Staying updated with industry trends, emerging technologies, and best practices to drive continuous improvement

• Collaborating with cross-functional teams to ensure alignment of development efforts with business objectives

Stakeholder management to drive product life cycle end to end

• Driving results towards the technology aspects

• Improving the overall Reliability score for Digital

• Bringing in new ideas towards unlocking the unarticulated needs of our customers in the Digital channels infusing AI

• Delivering on the AGILE KPI’s and driving incremental improvements on Quality, Supply Demand Capacity, on time completion of milestones and positive business outcomes

Where you'll be working...

This hybrid role will have a defined work location that includes work from home and assigned office days as set by the manager.

What we’re looking for...

You have the ability to define a vision and your ambitious attitude drives you to generate highly innovative ideas and take calculated risks. You develop positive relationships and innovative solutions, which makes you a productive collaborator. Customers appreciate that you take personal responsibility for their satisfaction, and team members know they can count on your commitment.

You’ll need to have:

• Bachelor’s degree or four or more years of work experience.

• Six or more years of relevant work experience.

• Proven experience as an AI architect or similar role, with a focus on Generative AI

• Strong background in machine learning, deep learning, and AI frameworks (e.g., TensorFlow, PyTorch)

• Proficiency in programming languages (Python, Java, etc.).

• Experience with cloud platforms (AWS, Azure, Google Cloud) and AI services.

• Exceptional communication and collaboration skills.

• Strong problem-solving abilities and a proactive mindset.

• Ability to lead and inspire teams in a fast-paced environment.

• Software development experience in a diverse set of areas including scalable web applications.

• Experience in Java/J2EE application development including experience leading a technical team in such web technologies.

• Experience in a DevOps software development environment.

• Experience migrating web applications to Cloud (AWS, Oracle Cloud or Cloud Foundry etc.).

• Knowledge and experience of Docker/Container technologies.

Even better if you have one or more of the following:

• A degree in computer science or computer engineering.

• Master’s degree.

• Evaluate and choose appropriate technologies, design patterns, and algorithms for the development of robust and scalable software solutions

• Innovation mindset

• Strong problem solving and analytical skills ability to assimilate data from varied sources, apply deductive reasoning and scientific method, make inferences, draw testable conclusions, and resolve problems.

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.

Where you’ll be working

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

Scheduled Weekly Hours

40

Diversity and Inclusion

We’re proud to be an equal opportunity employer. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.