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Distinguished Engineer Solutions Architect Jobs in California

GEICO

Distinguished Engineer, Policy Platform

Palo Alto, CA · On-site

$150K - $300K/yr

Position Description The Distinguished Engineer leads the overall architecture and design of the ... Accountable for the quality, usability, and performance of the solutions * Utilize your expertise ...

Marvell

Senior Distinguished Engineer

Santa Clara, CA · On-site

As a Senior Distinguished Engineer, you will be one of the most influential technical leaders in ... level solutions. * Represent the architecture function in executive-level technical reviews and ...

Pulumi

Solutions Architect

San Francisco, CA · On-site

$147K - $190K/yr

Serve as a technical partner to cloud and platform engineering teams, guiding architectural ... Experience in solution selling methodologies (e.g. MEDDPICC, SPIN, Challenger Sales) and how they ...

Andromeda Cluster

Solutions Architect

San Francisco, CA · On-site

$180 - $240/hr

We are expanding to new frontiers to find the brightest that work in AI infrastructure, research and engineering. The Role We're hiring our first Solutions Architect to own the technical side of our ...

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Distinguished Engineer Solutions Architect information

What is a distinguished engineer solutions architect?

A Distinguished Engineer Solutions Architect is a senior technical leader who designs complex technology solutions, often at the enterprise level. They blend deep technical expertise with broad architectural vision, guiding teams in developing scalable, secure, and innovative systems. Distinguished Engineers are recognized for their significant technical contributions and their ability to influence technology strategy across an organization. They often mentor other architects and engineers, set technical standards, and work closely with business leaders to align IT initiatives with organizational goals.

What are the key skills and qualifications needed to thrive as a distinguished engineer solutions architect?

To thrive as a Distinguished Engineer Solutions Architect, you need deep expertise in systems architecture, software engineering, and solution design, typically supported by an advanced degree in computer science or a related field. Mastery of cloud platforms (e.g., AWS, Azure, Google Cloud), infrastructure-as-code tools, and relevant certifications like AWS Certified Solutions Architect are commonly required. Exceptional communication, strategic thinking, and leadership skills distinguish top performers in this role. These competencies ensure you can design scalable, innovative solutions and effectively guide cross-functional teams through complex technical challenges.

How does a distinguished engineer solutions architect typically collaborate with cross-functional teams to deliver complex solutions?

A Distinguished Engineer Solutions Architect often serves as a technical leader, collaborating closely with product managers, engineers, and stakeholders to design and implement robust architectures. They facilitate technical discussions, mentor team members, and ensure alignment between business goals and technical execution. Regularly, they bridge communication gaps, translate high-level requirements into actionable plans, and oversee the integration of various components to ensure scalable and maintainable solutions. This collaborative approach is essential for delivering high-impact, innovative systems.

What is the difference between Distinguished Engineer Solutions Architect vs Solutions Architect?

AspectDistinguished Engineer Solutions ArchitectSolutions Architect
CredentialsAdvanced technical certifications, extensive experienceRelevant certifications, industry experience
Work EnvironmentStrategic, high-impact projects, leadership rolesProject-based, client-focused, technical implementation
Employer & Industry UsageLarge tech companies, industry leadersVaried industries, consulting firms, tech companies

The Distinguished Engineer Solutions Architect typically holds higher credentials, leads strategic initiatives, and influences company-wide technology directions. Solutions Architects focus on designing and implementing solutions for clients or projects. While both roles require technical expertise, the Distinguished Engineer Solutions Architect operates at a more senior, strategic level compared to the Solutions Architect.

What are popular job titles related to Distinguished Engineer Solutions Architect jobs in California?

For Distinguished Engineer Solutions Architect jobs in California, the most frequently searched job titles are:

What job categories do people searching Distinguished Engineer Solutions Architect jobs in California look for?

The top searched job categories for Distinguished Engineer Solutions Architect jobs in California are:

What cities in California are hiring for Distinguished Engineer Solutions Architect jobs?

Cities in California with the most Distinguished Engineer Solutions Architect job openings:

Distinguished Engineer Solutions Architect jobs near you
Infographic showing various Distinguished Engineer Solutions Architect job openings in California as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution.

Principal / Distinguished Engineer, Machine Learning

Netskope

Santa Clara, CA • On-site

Full-time

Re-posted 16 days ago

Job description

Positions are available at both Principal and Distinguished Engineer levels. Candidates are assessed individually and leveled according to their specific skills and background.

About the role

Within Netskope Engineering, the Netskope AI Labs is responsible for advancing state-of-the-art artificial intelligence (AI) and machine learning (ML) technology to power the Netskope One security platform. We are seeking a visionary Distinguished Machine Learning Engineer to serve as the chief architect of our AI technical strategy, bridging the gap between cutting-edge AI research and enterprise-scale business impact. Leveraging our deep expertise in AI/ML and security, you will lead the architecture and deployment of large-scale, production-grade AI/ML solutions for our Secure Access Service Edge (SASE) architecture.

What's in it for you

This is a highly impactful leadership opportunity to shape the AI transformation of a market-leading cloud security company. A successful candidate will serve as a primary technical pillar for the organization, possessing deep technical expertise in applying AI/ML technologies to complex security applications. You will have the platform to build a scalable 'AI Engine', working alongside top-tier engineers, researchers, and machine learning scientists to solve the industry's most challenging AI latency, scalability, and cloud security problems today.

What you will be doing

  • Define the AI Transformation Roadmap: Drive the overarching AI/ML technical strategy, ruthlessly prioritizing architectural choices to ensure highly scalable, reliable, and production-grade systems.
  • Architect Production-Grade Inference Systems: Design, optimize, and deploy highly scalable AI/ML inference systems, leveraging the latest LLM serving technologies such as vLLM, SGLang, and advanced KV Cache optimization to maximize throughput and minimize latency.
  • Lead the End-to-End AI Lifecycle: Collaborate with ML scientists, engineers, and executive stakeholders to translate complex business requirements into industrialized enterprise solutions.
  • Establish Rigorous AI Evaluation: Create strict 'Report Cards' for AI models in production, ensuring models are robust, scalable, and well-documented by measuring accuracy, latency, and security relevance before deployment.

Required skills and experience

  • 12-15+ years of industry experience (or equivalent combination of an Advanced technical degree + experience) in architecting and developing AI/ML solutions, preferably on large-scale security products or services.
  • Fluency in the modern AI stack with proven, hands-on experience optimizing cutting-edge LLMs in production environments, with deep knowledge of vLLM, SGLang, and KV Cache optimization.
  • Ability to translate complex technical architectures and concepts between CXOs, non-technical stakeholders, and Data Scientists.
  • Energetic self-starter with a true startup spirit, demonstrated ability to influence without authority, and the willingness to wear multiple hats to deliver end-to-end solutions in a dynamic, fast-paced environment.

Education

  • Advanced degree (Masters or PhD) in Computer Science, Electrical Engineering, or equivalent technical degree.

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