Principal Software Architect

Jobtailor

California (MO)

On-site

USD 150,000 - 230,000

Full time

2 days ago

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Job summary

Jobtailor is seeking a Senior Software Architect to own end-to-end AI-enabled platform architecture across client apps, cloud services, and devices. You will drive architecture decisions across frontend, backend, and embedded interfaces.

We value deep expertise in AI/ML systems, distributed architectures, security, and governance, with leadership experience guiding senior engineers and shaping product direction.

Qualifications

10+ years of software engineering experience.
5+ years in technical leadership or architecture roles.
Experience designing end-to-end architectures across frontend, backend, cloud, and devices.
Strong security, privacy, and compliance focus.

Responsibilities

Define and own end-to-end architecture for AI-enabled platforms across client apps, cloud services, and devices.
Lead architecture of AI/ML capabilities including generative AI, LLM, and edge AI.
Guide senior engineers and drive architectural standards and governance.
Collaborate with cross-functional teams and customers to shape product direction.

Skills

AI/ML Architecture Design

Frontend Technologies: Angular, React,

Backend Development: C++, Python, Node

Cloud Services Integration

Software Security and Compliance

Education

Bachelor’s or Master’s degree/PhD in Computer Science, Software Engineering, Computer Engineering, or Electrical Engineering

Tools

Azure Services

Microsoft Graph

DevOps Tools

Automated Testing Frameworks

Cloud Platforms

Job description

Define and own end-to-end architecture for complex AI-enabled software platforms across client applications, backend services, cloud workflows, local device interactions, connected hardware, and enterprise integrations
Establish architectural principles, system boundaries, design patterns, and technology choices for scalable, secure, reliable, maintainable, high-performance, and extensible platforms
Lead architecture of AI/ML capabilities including generative AI, LLM and agentic workflows, retrieval-augmented generation, embeddings, model orchestration, inference services, machine learning, and edge AI execution
Design production-ready AI/ML systems with evaluation, experimentation, model and prompt versioning, telemetry, monitoring, feedback loops, responsible AI, safety controls, and operational governance
Align architecture across local applications, cloud services, enterprise identity, device management platforms, connected devices, firmware-adjacent interfaces, and backend systems
Define and address security, privacy, compliance, performance, resiliency, auditability, manageability, diagnostics, deployment readiness, and supportability requirements
Maintain hands-on technical engagement through prototyping, architecture and code reviews, technical investigations, performance analysis, and resolution of high-impact engineering challenges
Guide senior engineers and technical leads, raising standards for architecture, code quality, testing, design documentation, technical decision-making, and software lifecycle practices
Produce and maintain architecture artifacts including system diagrams, architecture decision records, integration specifications, technical roadmaps, risk assessments, and platform evolution plans
Evaluate emerging technologies, AI/ML frameworks, cloud services, and enterprise platforms
Influence executive and cross-functional stakeholders by communicating technical strategy, trade-offs, risks, dependencies, technical debt, and investment priorities
Work directly with customers to understand real-world needs and incorporate feedback into product and technical direction
Shape an incubation effort within HP’s PC ecosystem and architect edge AI-enabled experiences for intelligent PCs and peripherals
Partner with software engineering, UX, product management, hardware engineering, security, manageability, validation, DevOps, systems engineering, and executive stakeholders

Requirements

Bachelor’s or Master’s degree/PhD in Computer Science, Software Engineering, Computer Engineering, or Electrical Engineering
10+ years of software engineering experience
Significant experience designing and delivering complex software platforms, distributed systems, enterprise applications, cloud-connected products, or device-integrated software solutions
5+ years of experience in a technical leadership, architecture, principal engineer, staff engineer, or equivalent role
Deep experience designing end-to-end software architectures spanning frontend applications, backend services, desktop applications, cloud platforms, APIs, data systems, device interfaces, and enterprise integrations
Strong technical depth in frontend technologies such as Angular, React, TypeScript, JavaScript, HTML, and CSS
Strong backend and systems development experience with C++, Rust, Python, C#, Node.js, Go, or similar
Experience with LLMs, Vision Language, and speech models
Experience defining architecture for Windows desktop applications, companion applications, background services, system tray applications, OS-integrated applications, or software interacting with local system services
Hands-on experience with PyTorch, TensorFlow, ONNX Runtime, or similar AI/ML frameworks and runtimes
Understanding of edge AI, model compression, quantization, hardware acceleration, latency, memory and compute constraints, and hybrid edge-cloud execution
Strong understanding of distributed systems, API design, service-oriented and event-driven architectures, asynchronous processing, messaging, caching, fault tolerance, and application state management
Experience with AI service integration, LLM APIs, prompt workflows, model orchestration, embeddings, inference APIs, evaluation pipelines, and responsible AI practices
Experience integrating local software with cloud services, backend systems, enterprise identity providers, device management platforms, and enterprise software ecosystems
Strong understanding of software security, privacy, authentication, authorization, compliance, audit logging, data protection, and enterprise governance
Experience with Git-based workflows, CI/CD pipelines, automated testing, release engineering, and production support
Preferred: Tauri, WebView, WebRTC, COM interfaces, PowerShell automation, native application integration, or cross-platform desktop frameworks
Preferred: Microsoft Graph, Microsoft Intune, Azure services, enterprise APIs, identity platforms, SSO, device management, and manageability workflows
Preferred: MS Intune, ADMX/Group Policy, HP WXP, or similar MDM/UEM platforms
Preferred: connected-device software, peripheral integration, local device discovery, firmware-adjacent workflows, or hardware/software co-design
Preferred: incubation products, proof-of-concept platforms, beta programs, early-stage software initiatives, or new product introductions
Willingness to travel 25%

Core Competencies

Demonstrates expertise in defining and owning end-to-end architecture for AI-enabled software platforms, with a strong focus on scalable, secure, and maintainable systems. Proficient in leading technical teams and guiding architectural decisions across complex software ecosystems, ensuring alignment with business needs and compliance standards.

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