Engineer II AIML Engineering
Irving, TX - USA
Job Summary
You want more out of a career. A place to share your ideas freely even if theyre 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 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 youll be doing..
Transitioning our enterprise roadmap toward modern agentic AI solutions requires dedicated engineering capability to architect autonomous workflows while establishing enterprise-grade governance and safety guardrails. This role is critical to scaling these complex systems safely controlling cloud compute costs and accelerating team delivery velocity across our AI/ML initiatives. As an AI/ML Engineer (MTS II) you will play a key role in industrializing AI/ML solutions across Verizon. You will collaborate with Enterprise Architecture Data Science and Data Engineering teams to build deploy and govern scalable machine learning and Generative AI systems across real-time and batch environments.
Design End-to-End GenAI & ML Solutions: Architecting and implementing agentic workflows multi-step Retrieval-Augmented Generation (RAG) systems and semantic retrieval pipelines for enterprise applications (e.g. personalization next-best-action and customer churn models).
Build Automated Evaluation & Governance Pipelines: Establishing programmatic evals to continuously measure model accuracy latency hallucination rates and task performance before and after deployment.
Production Observability & Monitoring: Implementing enterprise guardrails tracing and continuous observability to maintain system uptime enforce security/privacy standards and diagnose performance bottlenecks.
Optimize Cloud & Model Performance: Implementing model routing prompt/semantic caching and cost-control strategies across cloud AI platforms (GCP Vertex AI AWS Bedrock) and self-hosted models.
What were looking for...
You will need to have:
Bachelors degree or one or more years of relevant work experience.
One or more years of relevant work experience demonstrated through one or a combination of work and/or military experience or specialized training.
Experience in Machine Learning Engineering Data Engineering or Software Architecture.
Hands-on experience with ML Engineering techniques and tools including real-time/batch processors and model measurement techniques.
Hands-on experience with cloud platforms (Google Cloud Platform preferred or AWS) and modern ML development lifecycles.
Even Better If You Have
Knowledge of end-to-end Model Development & Management Lifecycles (MLOps/LLMOps) including model inventory tracking validation and governance frameworks.
Hands-on experience with containerized microservices (Docker Kubernetes) and CI/CD automation tools (Jenkins GitLab CI).
Experience designing and implementing agentic workflows autonomous tool-calling systems and RAG architectures using vector databases
Proficiency in high-concurrency Python programmingFastAPI PySpark SQL Kafka/Pulsar and Linux/Unix environments.
Familiarity with enterprise model governance frameworks (bias assessments Responsible AI standards).
If Verizon and this role sound like a fit for you we encourage you to apply even if you dont meet every even better qualification listed above.
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status disability or other legally protected characteristics.
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 weve 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 salary range for the location(s) listed on this job requisition based on a full-time schedule is: $72000.00 - $129000.00.Required Experience:
IC
About Company
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