AI Platform Engineer

Posted Yesterday
Be an Early Applicant
7 Locations
In-Office
101K-194K Annually
Mid level
Information Technology • Internet of Things • Other • Cybersecurity • Infrastructure as a Service (IaaS)
The Role
Build and deploy AI solutions that improve developer productivity across Verizon. Responsibilities include developing MCP servers and agentic workflows, fine-tuning LLMs, engineering prompts and context, integrating AI developer tools and IDE extensions, evaluating open-source models, and deploying scalable GenAI infrastructure on GCP. The role also involves RAG, multi-agent frameworks, monitoring, safety governance, rapid prototyping, and research into emerging AI technologies.
Summary Generated by Built In
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...

Join Verizon as we continue to grow our industry-leading network to improve the ways people, businesses, and things connect. Within this broader mission of Verizon, our team provides cutting-edge AI tooling and capabilities to empower over 15,000 developers across the enterprise. We are seeking a highly skilled and innovative AI Engineer to focus on evaluating, fine-tuning, and deploying open-source models, LLMs, and foundational models, building agentic workflows, and integrating plugins and custom tools with developer platforms (such as GitHub Copilot, Cursor, Devin AI, and Google Antigravity) and our overall Software Development Life Cycle (SDLC). You will handle a wide variety of responsibilities pertaining to designing, building, and deploying AI solutions, agentic workflows, and MCP servers to improve developer productivity across Verizon.
Key responsibilities include:

  • MCP Server & Tool Development: Design, build, and deploy Model Context Protocol (MCP) servers and tools to connect external APIs, internal enterprise tools, and data sources with AI coding agents.
  • Agentic Workflows: Develop and fine-tune agentic workflows and multi-agent architectures (using frameworks such as LangGraph or LangChain) to automate developer and SDLC tasks.
  • Prompt & Context Engineering: Apply advanced prompt design, context engineering, dynamic context injection, and hallucination mitigation strategies to maximize efficiency and accuracy.
  • Developer Tool Evaluation & Integration: Evaluate, test, and integrate AI developer tools (GitHub Copilot, Cursor, Devin AI, etc.) and IDE extensions (e.g., VS Code extensions) into the developer workflow.
  • Open-Source & LLM Optimization: Evaluate, fine-tune, optimize, and deploy open-source models and foundational LLMs tailored to enterprise needs and developer tools.
  • Rapid Prototyping & Research: Conduct fast-paced research and experimentation on emerging GenAI tools, preview features, and frameworks to keep our internal tools ahead of industry standards.

What we’re looking for...

You get excited by the possibilities that technology creates and how it can improve people’s lives. Applying your analytical skills and expertise to solve complex problems is personally rewarding. No stranger to working in a fast-paced environment, you convey a sense of urgency and balance multiple opposing priorities with ease, never missing a deadline.

You’ll need to have:
  • Bachelor’s degree or four or more years of work experience. ·    
  • Four or more years of of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
  • Experience in AI/ML software engineering, with deep proficiency in developing specialized frameworks.
  • Experience building MCP servers, tools, and integrations connecting LLM agents to internal systems.
  • Knowledge of IDE extension development (e.g., VS Code extensions) and developer workflow automation within modern SDLC pipelines.
  • Experience with developer AI tools like GitHub Copilot, Cursor, and Devin AI.


Even better if you have one or more of the following:
  • Experience implementing evaluation metrics, monitoring, and tracing using tools.
  • Experience with open-source models, LLMs, and fine-tuning techniques .
  • Experience implementing RAG pipelines, vector databases, and multi-agent frameworks (LangChain, LangGraph).
  • Knowledge of safety filtering, policy enforcement, and compliance governance for LLM deployments .
  • Experience designing and deploying scalable cloud infrastructure on Google Cloud Platform (GCP), utilizing key AI/ML services like Vertex AI, GKE, BigQuery, and Cloud Run .
  • Active contributions to open-source agentic frameworks, MCP servers, or developer tooling ecosystems .

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.


If you believe this job posting is missing information required by the Virginia wage or salary range transparency law, please report it via [email protected].

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 Hours40

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: $101,000.00 - $194,000.00.

Skills Required

  • Bachelor's degree or four or more years of work experience
  • Four or more years of relevant work, military, or specialized training experience
  • AI/ML software engineering experience with proficiency developing specialized frameworks
  • Experience building MCP servers, tools, and integrations connecting LLM agents to internal systems
  • Knowledge of IDE extension development, such as VS Code extensions, and developer workflow automation within modern SDLC pipelines
  • Experience with developer AI tools such as GitHub Copilot, Cursor, and Devin AI
  • Experience implementing evaluation metrics, monitoring, and tracing tools
  • Experience with open-source models, LLMs, and fine-tuning techniques
  • Experience implementing RAG pipelines, vector databases, and multi-agent frameworks such as LangChain and LangGraph
  • Knowledge of safety filtering, policy enforcement, and compliance governance for LLM deployments
  • Experience deploying scalable cloud infrastructure on GCP using Vertex AI, GKE, BigQuery, and Cloud Run
  • Active contributions to open-source agentic frameworks, MCP servers, or developer tooling ecosystems

Verizon Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Verizon and has not been reviewed or approved by Verizon.

  • Fair & Transparent Compensation — Fairness and competitiveness of pay are highlighted through statements such as “pay is good,” “pays very well,” and “the compensation at VZ is very competitive.” High earning potential is also described for certain roles, including base pay plus commissions and bonuses.
  • Healthcare Strength — Healthcare coverage is portrayed as comprehensive, spanning medical, dental, and vision with before-tax contributions and preventive-care credits. Increased HSA contributions and multiple plan options further reinforce the perceived strength of health benefits.
  • Retirement Support — Retirement offerings are positioned as robust, including a strong 401(k) match, pension eligibility for some groups, and additional financial protections like life and long-term disability coverage. Union contract updates also point to pension increases and retirement security improvements.

Verizon Insights

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The Company
HQ: New York, NY
Year Founded: 2000

What We Do

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect across the globe. We're a diverse network of people driven by our shared ambition to move the world forward - collectively building the network America relies on most. Here, we have the ability to learn and grow at the speed of technology, the space to create within every role, and the opportunity to shape a rewarding career.

Why Work With Us

Integrity. Respect. Excellence. Accountability. These are some of the key values at the heart of our Credo. This code of conduct lays out how we show up as a responsible business every day. It is the blueprint that inspires us to live up to the highest standards and defines who we are and how we work.

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