Dist Engr-AIML Engineering

When you join Verizon

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...

• Leading the architectural vision and technical strategy for Verizons Agentic AI ecosystem defining standards and best practices that scale across the enterprise.

• Designing and building multi-agent frameworks and orchestration layers that enable autonomous goal-driven systems to operate reliably in production environments.

• Driving the adoption of Large Language Models (LLMs) reasoning engines and tool-use patterns within complex distributed AI pipelines.

• Collaborating with product platform and data engineering teams to translate business problems into agentic solutions that deliver measurable outcomes.

• Evaluating and integrating emerging AI agent frameworks (e.g. LangGraph AutoGen Claude Agent SDK OpenAI Assistants) and establishing internal tooling standards.

• Building guardrails evaluation frameworks and observability tooling to ensure agent reliability safety and alignment with business intent.

• Mentoring and elevating senior and staff engineers across teams establishing a community of practice around agentic AI development.

• Publishing internal technical papers leading architecture reviews and representing Verizons engineering capabilities at external industry forums and conferences.

• Partnering with security legal and compliance stakeholders to ensure responsible AI deployment across all agentic systems.

What were looking for...

You are a technologist who thinks in systems. You dont just build agents you architect the ecosystems they operate in. You are deeply curious about the frontier of AI capabilities translating cutting-edge research into pragmatic production-grade solutions. You thrive at the intersection of deep technical expertise and organizational influence and you can communicate complex AI concepts to both engineers and executives with equal clarity. You hold yourself and others to a high bar and are energized by hard ambiguous problems.

Youll need to have:

• Bachelors degree or four or more years of work experience.

• Eight or more years of relevant experience required demonstrated through one or a combination of work and/or military experience or specialized training.

• Hands-on experience designing and deploying large-scale machine learning or AI systems in production.

• Deep understanding of LLM architecture prompt engineering retrieval-augmented generation (RAG) and tool/function-calling patterns.

• Experience building or operating multi-agent or agentic AI systems end-to-end.

• Strong proficiency in Python and familiarity with modern ML/AI stacks (PyTorch Hugging Face vector databases etc.).

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

• Experience with agent orchestration frameworks such as LangChain LangGraph AutoGen CrewAI Anthropics Agent SDK or Googles agentic stack including Vertex AI Agent Builder Google Agent Development Kit (ADK) Vertex AI Reasoning Engine Google Agentspace or the Agent-to-Agent (A2A) interoperability protocol.

• Familiarity with model fine-tuning RLHF or model evaluation methodologies.

• Background in distributed systems MLOps or AI infrastructure at hyperscale.

• Experience integrating agentic systems with enterprise APIs knowledge graphs or real-time data streams.

• Published research or open-source contributions in the AI/ML space.

• Experience working in telecommunications network automation or related industries.

• Prior Distinguished Engineer Fellow or Principal Architect-level role at a large technology organization.

• Track record of influencing technical direction across multiple teams or business units.

Where youll be working

Scheduled Weekly Hours

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race gender disability or any other legally protected characteristics.