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Lead Principal Site Reliability Engineer - (work in Vienna VA location)
Oracle
Little Rock, AR
- $96,300 to $264,100 USD / year
Develop Infrastructure as Code (IaC) using Terraform and automation scripts using Python, Bash, or similar languages.
Added just now
Director, AI Engineer (Remote Eligible)
Capital One
Little Rock, AR
…mentoring and coaching. You are hands-on when necessary and lead by…
Added just now
Principal Software Engineer
Highmark Health
Little Rock, AR
As a technical expert, you will define service topologies, drive complex vendor migrations, lead partner integrations, and set measurable non-functional requirements. Furthermore, you will…
Added just now
Senior Staff Full-stack Engineer - Global Payment Network (Remote - Eligible)
Capital One
Little Rock, AR
…where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring engineers and actively recruiting to keep…
Added just now
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Principal Software Engineer - (Reston or Cambridge)
Akamai Technologies, Inc.
Little Rock, AR
- $169,300 to $304,700 USD / year
As a Principal Software Engineer Lead, you will be responsible for:
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Senior Data Reporting Analyst
Highmark Health
Little Rock, AR
…facilitate changes; research questions; participate and/or lead process and data improvement…
Added just now
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Dev Lead
Eliassen Group
Little Rock, AR
- $110 to $120 USD / hour
Our client seeks a Dev Lead to own architecture, code quality, and delivery for an Agile squad building AI solutions that enable knowledge discovery and reuse. The role balances hands-on…
Added 11 mins ago
O
Lead Principal Site Reliability Engineer - (work in Vienna VA location)
Oracle
Jefferson City, MO
- $96,300 to $264,100 USD / year
Develop Infrastructure as Code (IaC) using Terraform and automation scripts using Python, Bash, or similar languages.
Added 11 mins ago
Director, AI Engineer (Remote Eligible)
Capital One
Jefferson City, MO
…mentoring and coaching. You are hands-on when necessary and lead by…
Added 11 mins ago
Principal Software Engineer
Highmark Health
Jefferson City, MO
As a technical expert, you will define service topologies, drive complex vendor migrations, lead partner integrations, and set measurable non-functional requirements. Furthermore, you will…
Added 11 mins ago
Senior Staff Full-stack Engineer - Global Payment Network (Remote - Eligible)
Capital One
Jefferson City, MO
…where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring engineers and actively recruiting to keep…
Added 11 mins ago
AT
Principal Software Engineer - (Reston or Cambridge)
Akamai Technologies, Inc.
Jefferson City, MO
- $169,300 to $304,700 USD / year
As a Principal Software Engineer Lead, you will be responsible for:
Added 11 mins ago
Senior Data Reporting Analyst
Highmark Health
Jefferson City, MO
…facilitate changes; research questions; participate and/or lead process and data improvement…
Added 11 mins ago
Sr. Developer, Business Intelligence
Navitus Health Services
Jefferson City, MO
Added 11 mins ago
Data Science Manager, Gen AI - SFL Scientific
Deloitte
Kansas City, MO · St. Louis, MO
Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements
Added 11 mins ago
Senior Data Scientist Engineer - SFL Scientific
Deloitte
Kansas City, MO · St. Louis, MO
Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
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Adobe Experience Platform
Deloitte
St. Louis, MO · Kansas City, MO
…their journey - AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty…
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Life Sciences Research Manager - Deloitte Center for Health Solutions
Deloitte
Kansas City, MO · St. Louis, MO
Lead, manage and mentor the next generation of research leaders
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Health Care Research Manager - Deloitte Center for Health Solutions
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St. Louis, MO · Kansas City, MO
Lead, manage and mentor the next generation of research leaders
Added 12 mins ago
Cyber Operate Manager - GCP Cloud DevOps Engineer
Deloitte
Kansas City, MO · St. Louis, MO
Deloitte is seeking a Lead Managed Services Engineer II to design, automate, and operate enterprise-scale cloud capabilities that support clients' critical cyber assets. In this role, you…
Added 12 mins ago
EG
Dev Lead
Eliassen Group
Jefferson City, MO
- $110 to $120 USD / hour
Our client seeks a Dev Lead to own architecture, code quality, and delivery for an Agile squad building AI solutions that enable knowledge discovery and reuse. The role balances hands-on…
Added 25 mins ago
Principal Platform Engineer – EIP / CCaaS
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Vienna, VA
Lead technical troubleshooting of complex production issues.
Added 25 mins ago
Information Systems Security Engineer (ISSE) Linux/RHEL
CACI International
Sterling, VA
Lead and support Assessment and Authorization (A&A) activities to achieve and maintain Authorization to Operate (ATO) under the Risk Management Framework (RMF)
Added 26 mins ago
Full-Stack Engineer 4 (Python, Java, AWS)
Capital One
McLean, VA
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet…
Added 26 mins ago
Business Manager - Modeling and Advanced Data Insights
Capital One
McLean, VA · Richmond, VA
…monitoring, and reporting using tools such as AWS, Snowflake, Python, and Spark. As the model developer for advancing transaction monitoring with machine learning, our team is responsible…

Verizon Data Services LLC

Senior AI/ML Engineer - AI Live Operations

Basking Ridge, NJ, United States

$111,500 to $194,000 USD / year

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Job details

Pay: $111,500 to $194,000 USD / year
Apply by: Nov 30, 2026
Posting language: English
Posted: Oct 30, 2026

Original 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 #VTeamLife.

What you'll be doing...

As a Senior AI/ML Engineer - AI Live Operations, you will apply your advanced technical expertise in data science, system orchestration, and software engineering to maintain the stability, safety, and efficiency of our deployed artificial intelligence models. You will be a key individual contributor within the Live Operations team, taking responsibility for the health of machine learning systems once they are exposed to real-world datasets and production traffic.

At Verizon, we are on a multi-year journey to industrialize our data science and AI capabilities. Very simply, this means that AI will fuel decisions and business processes across the company. At over one hundred thirty billion dollars in annual revenue, this is a pioneering opportunity to build and scale production AI systems in the telecommunications industry. With our leadership in bringing 5G network nationwide, you will help us transition from millions of automated predictions to trillions of real-time inferences.

In this role, your responsibilities will include:

Building and maintaining real-time monitoring and observability pipelines to track system throughput, latency, and token consumption costs for large language models.
Monitoring production model behavior to identify data drift and model degradation, ensuring our systems maintain high predictive accuracy over time.
Implementing automated continuous evaluation loops that capture user feedback and ground-truth telemetry to dynamically assess performance.
Deploying real-time safety filters, system guardrails, and input/output moderators to mitigate model hallucinations and prevent inappropriate content generation.
Integrating robust fallback systems, including routing failures to traditional rule-based software systems or human queues, to preserve end-user experience.
Developing automated continuous integration and continuous deployment pipelines to retrain, validate, and seamlessly release updated models without downtime.
Resolving production model incidents as a senior escalation contact, diagnosing issues with live models, and shipping immediate hotfixes or prompt adjustments.
Collaborating with platform architects and core data science teams to scale backend architectures across cloud, on-premises, and edge network infrastructures.
Partnering with peer engineering and development teams to foster technical alignment, conduct code reviews, and champion secure, ethical AI standards.

What we're looking for...

You are a highly skilled engineer who excels in the intersection of data science, software development, and operations. You understand that machine learning models are not static, and you thrive on solving the complex, real-time challenges that occur once algorithms meet actual users. You are a self-starter who values precision, system resilience, and clean, scalable code. You enjoy mentoring junior team members and sharing technical knowledge across the larger engineering community.

You'll need to have:

Bachelor’s degree or four or more years of work experience.
Four or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.

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

Master’s degree in computer science, data science, electrical engineering, mathematics, or another highly technical discipline.
Extensive hands-on experience deploying, monitoring, and debugging complex machine learning or deep learning models in large-scale production environments.
Practical familiarity with MLOps frameworks and automated pipeline tools, including Airflow, Kubeflow, or MLflow.
Advanced programming expertise in Python, Java, or C++, with a strong grasp of data structures and cloud systems such as AWS, Google Cloud, or Azure.
Deep experience developing safety guardrail middleware, system monitoring dashboards, and telemetry systems for Generative AI applications.
Knowledge of distributed compute architectures, database design, and real-time streaming technologies such as Kafka or Spark.

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 working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.

Scheduled Weekly Hours 40

Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.

Benefits and Compensation Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.

The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $111,500.00 - $194,000.00.

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More about this job

Skills

ML
Business processes
CI/CD
Machine learning
Coaching
Computer science
Electrical engineering
Debugging
Deep learning
Apache Airflow
Kubeflow
Mlflow
Python
Oracle Java
C++
AWS
Google Cloud
Microsoft Azure
Apache Kafka
Apache Spark
Regulatory compliance

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