Senior AI Systems Architect — Remote, Scalable GenAI Platform

Lumen

Montpelier (VT)

On-site

USD 132,000 - 176,000

Full time

12 days ago

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Lumen seeks a Senior Lead System Architect to define and lead the AI architecture across conversational, generative, and agentic solutions. You will shape the architecture, drive AI strategy, and influence engineering, product, and business teams to deliver innovative, secure, and scalable AI experiences.

You will mentor teams, champion responsible AI, and collaborate across stakeholders to align solutions with strategic objectives and customer needs.

Qualifications

12+ years of software engineering experience, including 5+ years designing and deploying AI/ML solutions and 3+ years in architecture roles.
Proven success architecting and delivering large-scale AI solutions from concept through production.
Deep expertise with Google Cloud AI technologies, including Vertex AI, Dialogflow, Agent Builder, and related AI services.
Strong understanding of distributed systems, enterprise integration patterns, APIs, event-driven architectures, security, and cloud-native design principles.

Responsibilities

Define end-to-end architecture for conversational, generative, and agentic AI solutions, including data, application, integration, and cloud platform designs.
Establish architecture standards, reference designs, and governance practices to ensure scalability, security, reliability, and operational excellence.
Lead technical strategy and platform decisions across Google Cloud AI services and emerging AI technologies, helping shape Lumen's AI roadmap.
Design and validate innovative AI approaches, including retrieval-augmented generation (RAG), multi-agent systems, vector search, and intelligent orchestration frameworks.
Architect secure integrations with enterprise applications, APIs, data platforms, and business systems to enable seamless AI capabilities.
Drive operational architecture for AI solutions, including CI/CD, monitoring, observability, model lifecycle management, and reliability engineering.
Partner with product, engineering, and business stakeholders to align technical solutions with strategic objectives and customer needs.
Serve as a technical mentor and thought leader, elevating architectural maturity and fostering innovation across teams.
Champion responsible AI principles by embedding governance, privacy, security, transparency, and ethical practices into solution design.