EscalonVerified Source

Systems Architect, AI XR Robotics & Cloud Platforms

140K–160K
Onsite · Los Angeles, California
Posted August 14, 2026
full-time

Overview

Own the architectural direction for end-to-end systems across AI XR robotics and cloud platforms at scale. Lead architecture decisions for distributed and embedded systems, ensuring secure, high-performance, and evolvable solutions. Collaborate with engineering leadership and cross-functional teams to translate product vision into robust technical execution. This role offers influence over long-term technology roadmaps and a chance to work on mission-critical defense and public safety applications.

What You'll Do10

  • 1Design end to end system architectures for complex software and hardware solutions
  • 2Define system requirements interfaces and technical specifications
  • 3Lead architectural decisions across distributed systems cloud infrastructure embedded systems and AI applications
  • 4Collaborate with software hardware AI ML robotics and product teams throughout the development lifecycle
  • 5Evaluate technologies frameworks and tools to ensure scalability security and performance
  • 6Establish architectural standards design principles and engineering best practices
  • 7Conduct architecture reviews and provide technical mentorship to engineering teams
  • 8Identify technical risks early and develop mitigation strategies
  • 9Support integration testing deployment and long term system evolution
  • 10Create and maintain technical documentation and architecture diagrams

Requirements9

  • 1Bachelor's or Master's degree in Computer Science Software Engineering Systems Engineering Electrical Engineering or related field
  • 24+ years of experience in systems architecture software architecture or technical leadership
  • 3Strong understanding of distributed systems and scalable software design
  • 4Experience with cloud platforms such as AWS Azure or Google Cloud
  • 5Proficiency in modern programming languages such as C++ Python Java or C#
  • 6Experience designing APIs microservices and event driven architectures
  • 7Knowledge of networking security and systems integration
  • 8Experience working within Agile development environments
  • 9Excellent communication and cross functional collaboration skills

Salary Insight

$140 - $160k per year

Location

Typeonsite
LocationLos Angeles, California

Required Skills

C++PythonJavaC#AWSAzureGoogle CloudDockerKubernetesAPI designMicroservicesEvent-driven architecturesDistributed systemsNetworkingSecuritySystems integrationAgile developmentAI/ML platformsData pipelinesRoboticsAutonomous systemsXR/AR/VR technologiesComputer visionEmbedded systemsEdge computingCybersecurity best practicesDefense programsAerospace programsGovernment-funded programs
Share:

Similar open positions

Explore active roles that match your skills and interests.

CXApp US, Inc.

14d agoSan Francisco, Californiafull-time

Chief Architect AI Systems CXApp US Inc San Francisco

CXAPP seeks a Chief Architect - AI Systems to lead AI strategy and design scalable ML systems. This role drives AI architecture guides development teams and ensures security and scalability. Ideal candidate excels in AI/ML design deployment and leads cross-functional teams.

Competitive salary
AI/MLTensorFlowPyTorch+8 more
Unissant, Inc.

Unissant, Inc.

9h agoWashington, District of Columbiafull-time

Senior Enterprise Systems Architect, AI ML Strategist & Evangelist

Lead architectural direction for enterprise systems at scale providing AI/ML strategy and evangelism across teams. Own the architecture roadmap, standards, and governance for mission critical platforms. Collaborate with product, data, and security to deliver resilient, scalable solutions. This role differentiates by combining enterprise architecture with AI/ML strategy and external evangelism.

Competitive salary
AI/MLEnterprise Systems ArchitectureStrategist+1 more

Apex Systems

12h agoRaleigh, North Carolinafull-time

AI Solutions Architect, Enterprise AI & System Architecture

Own the design and delivery of AI driven solutions across business and operations at scale. Lead enterprise solution architecture and hands on AI implementation to translate ambiguous requirements into concrete architectural blueprints and working prototypes. Collaborate with business leaders, data teams, and product partners to ensure solutions align with regulatory, security, and governance standards. What makes this role different is the blend of strategic architecture with practical, deployable AI delivery.

125K–200K
pythonawsreact+2 more
Carnegie Mellon University

Carnegie Mellon University

21d agoPittsburgh, Pennsylvaniafull-time

AI-Native Architect | Carnegie Mellon University

Lead AI-native software engineering initiatives to transform architecture-scale challenges. Own AI-driven solutions that accelerate delivery while preserving quality. Shape cutting-edge strategies through research and collaboration.

Competitive salary
software architecturesoftware engineering fundamentalsarchitecture principles+5 more

ABCO MAINTENANCE INC. (BIC# 1854)

13d agoNew York, New Yorkfull-time

Cloud Solutions Architect Database Engineer AI Platform Architect

Design and build scalable cloud database security API and AI infrastructure for enterprise applications. Architect backend and AI layers enabling secure efficient consumption of data and business functionality. Translate business requirements into production-ready technical solutions. Lead AI integration ensuring operational reliability.

150K–180K
pythonawsreact+2 more

CHAOS Industries

12h agoSan Francisco, Californiafull-time

Staff Software Engineer Applied AI, Defense Tech & Real-Time AI Systems

AI powered defense and critical infrastructure systems require rapid prototyping and reliable deployment. Lead the design, integration, and shipment of AI/ML capabilities across CHAOS product lines at scale. Collaborate with researchers, engineers, and customers in a high-trust, high-impact environment where independence drives real results. Bring a track record of delivering practical AI solutions in regulated or mission-driven settings and mentor junior engineers on the team.

200K–270K
AIMachine LearningData Science+16 more