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Senior Engineer Consultant-AI Science
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…
As Sr. Engineer Consultant - AI Science you will will play a leading role in building, deploying and managing end to end AI Services to power traditional and generative AI use cases.
You'll need to have:
Bachelors degree or four or more years of work experience.
Four or more year of relevant work experience.
Four or more years as data scientist with exposure to full stack model development, deployment, evaluation, optimization and scaling.
Experience on programming skills - proficiency in Python, PySpark, Java, C++ and R relevant AI libraries/frameworks
Understanding of SOTA algorithms, especially in personalization, cognitive and generative models. Must have good understanding and ability to explain both the code and the underlying math used in algorithms/models.
Familiarity with multi modal data, vector and graph databases and data warehousing fundamentals
Experience with cloud platforms like GCP, AWS and their respective AI services
Knowledge of GPU/CPU architecture and distributed computing
Understanding of containerization (Docker) orchestration (Kubernetes) and CI/CD pipelines
Exposure to large-scale AI training, understanding of the compute system concepts (latency/throughput bottlenecks, pipelining, multiprocessing etc.) and related performance analysis and tuning
Ability to synthesize and analyze data to answer business questions and design , deploy and monitor models wrt technical and functional metrics and report to stakeholders accordingly
AI evangelist with research interests as well as strong history of delivering AI solutions that address business priorities
Ability to communicate complex model designs and outcomes in business terms to a non-technical audience.
Even better if you have one or more of the following:
Advanced degree in computer science, Mathematics, Data science or similar field
Experience in developing and deploying real time AI models
Prior experience with Generative AI techniques applied to Large Language Models And multimodal learning (Image, Video, Speech etc.).
Repository of innovative AI research and applications in Github, scientific publications and patents.
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.
Company benefits
We need to ask employees of Verizon what it's like to work there before we assign the company FlexScore®.
Working at Verizon
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