Senior Enterprise Architect (Remote)

11 days ago

Remote, United States or Austin, TX, USASenior

Base Salary

$148k - $314k/yr

Responsibilities

Define and communicate the long-term architectural vision and technical roadmap for the Cordant platform.
Establish architecture principles, standards, reference architectures, governance, and reusable platform capabilities.
Lead architecture across distributed systems spanning industrial edge, enterprise environments, cloud platforms, on-premises deployments, customer-managed cloud, and SaaS.
Develop integration strategies connecting operational technology, enterprise IT, industrial devices, partner ecosystems, and business applications.
Guide cloud-native, event-driven, API-first, domain-driven, platform engineering, and developer-experience initiatives.
Drive architecture for the Cordant Data & Analytics Platform and enterprise Agentic AI capabilities.
Define architectural patterns for AI-agent orchestration, memory, contextual reasoning, tool integration, lifecycle management, security, observability, and governance.
Enable engineering teams through reusable AI platform services, SDKs, developer tooling, and architectural guidance.
Evaluate emerging AI technologies and industry standards and evolve the long-term AI platform strategy.
Mentor architects and senior engineers, lead architecture reviews, and facilitate technical decisions across engineering teams.
Influence technology investment decisions and collaborate with engineering, product, UX, security, cloud infrastructure, and customer-facing organizations.

Bachelor’s degree in computer science, software engineering, or a related discipline.
At least 4 years of experience architecting large-scale enterprise software platforms.
Demonstrated success leading architecture across multiple engineering teams and product domains.
Strong understanding of modern software architecture, distributed systems, cloud-native applications, and API-first platforms.
Experience developing enterprise architecture strategies aligned with business objectives.
Strong communication skills and ability to influence technical and business leaders.
Preferred experience includes cloud-native architecture, Kubernetes, platform engineering, enterprise data platforms, data lakehouses, streaming platforms, AI/ML platforms, Agentic AI, large language models, MCP, RAG, semantic search, vector databases, knowledge graphs, AI observability, Responsible AI governance, hybrid and multi-cloud architecture, edge computing, industrial IoT, enterprise integration, identity, and security architecture.
Experience in industrial, manufacturing, energy, or other asset-intensive industries is beneficial but not required.

Fully remote work within the US may be available, with flexible hours, permissive leave, and compressed work-week options where applicable.
Contemporary work-life balance policies and wellbeing activities.
Private medical care options, life insurance, disability programs, and additional elected or voluntary benefits.
Company-sponsored health and welfare programs and a Thrift Plan (401k).
Eligibility for a company short-term incentive plan and additional compensation subject to applicable plans and policies.
Opportunities to work across global engineering teams, influence strategic technology decisions, and develop technical leadership.

10,000+ employees