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...
You will be working to design deploy and optimise Generative AI solutions that solve real-world problems for our customers and internal teams. You will move beyond traditional modelling to build agentic workflows and RAG (Retrieval-Augmented Generation) systems applying the latest advancements in Foundation Models to create intuitive AI-native product experiences.
Building and refining LLM-powered features and autonomous agents to enhance product capabilities and business logic.
Designing and implementing RAG pipelines to connect our proprietary data with large language models for high-accuracy outputs.
Exploring the frontier of AI research (e.g. new model releases context window techniques and prompting strategies) to rapidly prototype and integrate commercial and open-source models.
Collaborating with Product Managers and UX Designers to define how AI can best serve user needs and improve interaction patterns.
Developing and maintaining production-grade infrastructure for AI orchestration including prompt management and model evaluation frameworks.
Optimising AI performance through Prompt Engineering context management and strategic use of embeddings.
Contributing to a culture of rapid experimentation and AI-first thinking across the engineering organisation.
Rapid Vibe Coding & Prototyping: Use tools like Lovable and Claude Code to go from idea to deployed full-stack MVP in days not weeks.
AI Evangelism & Enablement: Act as the AI Copilot for the R&D team. Run internal workshops create cursor rules files for the team and teach senior engineers how to leverage AI tools to 10x their speed.
What were looking for...
You are a builder at heart with a hacker mindset. You are eager to bridge the gap between raw model capabilities and polished user products. You are proactive iterate quickly and enjoy the challenge of taming non-deterministic AI outputs.
Youll need to have:
Masters degree or equivalent experience in Computer Science or a related technical field.
Strong proficiency in Python.
Solid understanding of the LLM stack including experience with orchestration frameworks (e.g. LangChain Strands Agents CrewAI).
Knowledge of modern AI concepts: Prompt Engineering few-shot learning and the difference between fine-tuning and RAG.
Experience with standard software development tools (Git Docker) and CI/CD processes.
Even better if you have one or more of the following:
Evangelist Energy: You are genuinely excited about AI. You follow the latest releases read the relevant papers and can explain why reasoning models matter to a non-technical stakeholder.
Fearless Hacker Mindset: You arent afraid of code you didnt write. You are comfortable generating 80% of your code with AI and crafting the remaining 20% with high precision.
Contributions to open-source AI projects or a portfolio of weekend prototypes built with an AI-native toolchain (e.g. Lovable Replit Cursor Claude Code Gitlab Copilot).
Exposure to cloud-based AI services (e.g. AWS Bedrock Azure AI Studio or GCP Vertex AI)
Experience with Vector Databases (e.g. Pinecone Weaviate Milvus or Chroma) and semantic search concepts.
Experience with AI evaluation and observability tools (e.g. LangSmith LangFuse).
Experience deploying models locally using tools like Ollama or vLLM.
Knowledge of Agentic design patterns (e.g. ReAct Tool-use/Function calling).
Where youll be working
In this hybrid role youll have a defined work location that includes work from home and assigned office days set by your manager.
Scheduled Weekly Hours
37.5
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.
Required Experience:
IC
When you join VerizonYou 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 driv...
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...
You will be working to design deploy and optimise Generative AI solutions that solve real-world problems for our customers and internal teams. You will move beyond traditional modelling to build agentic workflows and RAG (Retrieval-Augmented Generation) systems applying the latest advancements in Foundation Models to create intuitive AI-native product experiences.
Building and refining LLM-powered features and autonomous agents to enhance product capabilities and business logic.
Designing and implementing RAG pipelines to connect our proprietary data with large language models for high-accuracy outputs.
Exploring the frontier of AI research (e.g. new model releases context window techniques and prompting strategies) to rapidly prototype and integrate commercial and open-source models.
Collaborating with Product Managers and UX Designers to define how AI can best serve user needs and improve interaction patterns.
Developing and maintaining production-grade infrastructure for AI orchestration including prompt management and model evaluation frameworks.
Optimising AI performance through Prompt Engineering context management and strategic use of embeddings.
Contributing to a culture of rapid experimentation and AI-first thinking across the engineering organisation.
Rapid Vibe Coding & Prototyping: Use tools like Lovable and Claude Code to go from idea to deployed full-stack MVP in days not weeks.
AI Evangelism & Enablement: Act as the AI Copilot for the R&D team. Run internal workshops create cursor rules files for the team and teach senior engineers how to leverage AI tools to 10x their speed.
What were looking for...
You are a builder at heart with a hacker mindset. You are eager to bridge the gap between raw model capabilities and polished user products. You are proactive iterate quickly and enjoy the challenge of taming non-deterministic AI outputs.
Youll need to have:
Masters degree or equivalent experience in Computer Science or a related technical field.
Strong proficiency in Python.
Solid understanding of the LLM stack including experience with orchestration frameworks (e.g. LangChain Strands Agents CrewAI).
Knowledge of modern AI concepts: Prompt Engineering few-shot learning and the difference between fine-tuning and RAG.
Experience with standard software development tools (Git Docker) and CI/CD processes.
Even better if you have one or more of the following:
Evangelist Energy: You are genuinely excited about AI. You follow the latest releases read the relevant papers and can explain why reasoning models matter to a non-technical stakeholder.
Fearless Hacker Mindset: You arent afraid of code you didnt write. You are comfortable generating 80% of your code with AI and crafting the remaining 20% with high precision.
Contributions to open-source AI projects or a portfolio of weekend prototypes built with an AI-native toolchain (e.g. Lovable Replit Cursor Claude Code Gitlab Copilot).
Exposure to cloud-based AI services (e.g. AWS Bedrock Azure AI Studio or GCP Vertex AI)
Experience with Vector Databases (e.g. Pinecone Weaviate Milvus or Chroma) and semantic search concepts.
Experience with AI evaluation and observability tools (e.g. LangSmith LangFuse).
Experience deploying models locally using tools like Ollama or vLLM.
Knowledge of Agentic design patterns (e.g. ReAct Tool-use/Function calling).
Where youll be working
In this hybrid role youll have a defined work location that includes work from home and assigned office days set by your manager.
Scheduled Weekly Hours
37.5
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.
Required Experience:
IC
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