5 days ago
Base Salary
$121k - $231k/yr
Responsibilities
- Define full-stack architectures for embedded AI initiatives, including multi-agent orchestration, state machines, latency and cost budgets, security boundaries, and enterprise integrations.
- Build governed, stateful agent workflows using LangGraph, Temporal, or custom event-driven state machines with tool-calling controls, sandboxing, and fallback logic.
- Design production RAG and context systems with hybrid search, re-ranking, metadata filtering, and semantic caching.
- Deploy agent services and scheduled workflows across Domino Data Lab, Apache Airflow, Kubernetes, serverless platforms, and public clouds.
- Create offline and online evaluation frameworks covering synthetic testing, LLM-as-a-judge workflows, human review, A/B rollouts, model drift, hallucinations, latency, token costs, and task completion.
- Convert bespoke deployments into reusable SDKs, APIs, shared libraries, UI components, and architectural playbooks.
- Embed with business-unit leadership to identify high-value AI opportunities, scope ambiguous initiatives, and deliver projects end to end.
- Present technical architectures, algorithmic behavior, failure modes, and trade-offs to vice presidents and managing directors.
- Mentor engineers and contribute technical documentation and patent disclosures.
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 through work, military experience, or specialized training.
- At least four years of shipping production software and/or deploying LLM applications, agentic workflows, or autonomous tool-calling pipelines into production.
- Hands-on experience with frontier LLMs including Anthropic Claude, OpenAI, and Google Gemini, plus agentic developer frameworks such as Claude Code, Cursor, and Copilot.
- Proficiency in Python, SQL, TypeScript, Node.js, and modern JavaScript stacks for full-stack API integration and backend orchestration.
- Experience designing offline and online evaluation benchmarks, guardrail frameworks, observability systems, and tracing pipelines.
- Ability to scope ambiguous technical initiatives, design architectures, communicate with senior executives, and translate enterprise requirements into delivered systems.
- Preferred qualifications include a master’s degree, enterprise context or search platform experience, forward-deployed engineering or solutions architecture experience, shared-library and patent experience, telecommunications or operational-domain expertise, retrieval and vector-database expertise, and containerized cloud deployments.
Benefits
- Hybrid work arrangement with a defined work location, work from home, and a minimum of three days per week in the office.
- Medical, dental, vision, disability, life insurance, AD&D, 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 tenure; part-time coverage varies by individual circumstances.
- Full-time schedule of 40 hours per week; additional premium pay such as overtime, shift differential, holiday pay, or allowances may apply depending on the role.
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.