5 days ago
Base Salary
$121k - $231k/yr
Responsibilities
- Define full-stack architectures for embedded AI initiatives, including agent orchestration, state machines, latency and cost budgets, security boundaries, and enterprise backend integrations.
- Build governed, stateful agent workflows using LangGraph, Temporal, event-driven state machines, tool-calling protocols, execution sandboxing, and deterministic fallback logic.
- Design production RAG and context infrastructure with hybrid search, reranking, metadata filtering, semantic caching, and enterprise search capabilities.
- Deploy agent services and scheduled workflows across Domino Data Lab, Apache Airflow, Kubernetes, serverless compute, AWS, GCP, and Azure.
- Architect offline and online evaluation frameworks covering LLM-as-a-judge, synthetic test generation, human review queues, A/B rollouts, model drift, hallucination rates, latency, token costs, and task completion.
- Convert domain-specific deployments into reusable SDKs, APIs, shared libraries, modular UI components, architectural playbooks, and potential patent disclosures.
- Embed with business-unit leadership to identify high-value applied AI opportunities, scope ambiguous initiatives, and deliver projects end to end.
- Present algorithmic behavior, failure modes, architectures, and performance trade-offs to vice presidents, managing directors, and other executive stakeholders.
- Mentor engineers and produce technical documentation for reusable enterprise assets.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or four or more years of work experience.
- Six or more years of relevant experience, including production software development and/or deployment of LLM applications, agentic workflows, or autonomous tool-calling pipelines.
- Extensive hands-on experience with frontier LLMs including Anthropic Claude, OpenAI, and Google Gemini, plus agentic development tools such as Claude Code, Cursor, and Copilot.
- Proficiency in Python and modern TypeScript/Node.js for full-stack API integration and backend orchestration.
- Advanced full-stack programming experience with Python, SQL, and modern JavaScript/TypeScript stacks.
- Experience with Docker, API design, and AWS, GCP, or Azure cloud environments.
- Experience implementing offline evaluation benchmarks, online evaluation and observability pipelines, guardrails, tracing, latency measurement, token optimization, and hallucination tracking.
- Experience deploying containerized services and data workflows across Domino Data Lab, Apache Airflow, Kubernetes, EKS, GKE, and hyperscaler cloud platforms.
- Ability to independently scope ambiguous technical initiatives, design architectures, interface with enterprise stakeholders, and present to senior executives.
- Preferred qualifications include a master’s degree in Computer Science, Machine Learning, Robotics, or a related field; centralized context platform or enterprise search experience; forward-deployed engineering, solutions architecture, or technical consulting experience; experience creating shared libraries, technical publications, or patents; telecommunications or operational-domain knowledge; and expertise with RAG pipelines, vector databases, hybrid search, and dynamic context management.
Benefits
- Hybrid work arrangement with a defined work location and at least three days per week in the office.
- Medical, dental, vision, short- and long-term disability, life insurance, AD&D insurance, identity theft protection, pet insurance, and group home and auto insurance options.
- Matched 401(k), up to eight company-paid holidays, up to six personal days, paid parental leave, adoption assistance, and tuition assistance.
- New hires receive up to 15 vacation days per year, increasing with additional service.
- Full-time schedule of 40 hours per week; compensation may also include incentive-based pay or other premium pay depending on the role and location.
Tech Stack
Categories
Forward Deployed
About Verizon
Verizon builds and operates wireless networks, broadband (Fios), and enterprise connectivity, security, and IoT solutions for consumers, businesses, and public-sector customers. Its revenue comes from subscription mobile services, internet and TV access, and managed network and cloud security offerings. Founded in 2000 via the Bell Atlantic–GTE merger, the public company (NYSE: VZ) is headquartered in Basking Ridge, New Jersey, and is one of the largest mobile carriers in the United States.
