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Remote Deployed Services Jobs in California (NOW HIRING)

Vercel

Forward-Deployed Engineer

San Francisco, CA · On-site +1

We are looking for a Senior Forward-Deployed Engineer to join our Professional Services team. This ... This role is remote-first with travel to customer sites expected occasionally. Travel requirements ...

Workato

Forward Deployed Engineer

Palo Alto, CA · On-site +1

Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for an ... customer service to ensure alignment with both technical and business needs, as well as ...

ServiceNow

Staff Software Engineer

Santa Clara, CA · On-site +1

$166K - $291K/yr

Maintain and support deployed services by addressing vulnerabilities, ensuring security, stability ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

ServiceNow

Staff Software Engineer

Santa Clara, CA · On-site +1

$166K - $291K/yr

Maintain and support deployed services by addressing vulnerabilities, ensuring security, stability ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

General Atomics

Deployable Supply Service Rep

Poway, CA · On-site +1

... services. GA-SI is a leading-edge expert in systems integration technologies, reliability ... Must be adaptable to travel and work in remote, austere locations and able to work extended hours ...

YO AI Labs

AI/ML Engineer - Remote

Los Angeles, CA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex ...

New

YO AI Labs

Mental Health Expert - Remote

Palo Alto, CA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex ...

New

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Remote Deployed Services information

What is the difference between Remote Deployed Services vs Remote Network Engineer?

AspectRemote Deployed ServicesRemote Network Engineer
CredentialsIT certifications, cloud platform knowledgeNetworking certifications (CCNA, CCNP), Cisco or Juniper expertise
Work EnvironmentClient sites, cloud environments, remote supportNetwork infrastructure, data centers, remote troubleshooting
Industry UsageIT service providers, cloud companies, consulting firmsTelecommunications, enterprise IT, data centers
Search & ComparisonOften compared for remote IT deployment rolesCompared for network infrastructure roles

Remote Deployed Services typically involve deploying and managing IT solutions across client sites or cloud environments, focusing on service delivery. Remote Network Engineers specialize in designing, implementing, and troubleshooting network infrastructure remotely. While both roles require technical certifications and involve remote work, their focus areas differ: service deployment versus network infrastructure management.

What are popular job titles related to Remote Deployed Services jobs in California?

For Remote Deployed Services jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Deployed Services jobs in California look for?

The top searched job categories for Remote Deployed Services jobs in California are:

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Cities in California with the most Remote Deployed Services job openings:

Remote Deployed Services jobs near you
Infographic showing various Remote Deployed Services job openings in California as of June 2026, with employment types broken down into 8% As Needed, 8% Full Time, 68% Part Time, and 16% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Deployed Architect, Post-Sales (Remote)

LangChain, Inc

Los Angeles, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

About Us
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we're at a stage where we're continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Role
We're looking for a Deployed Architect, Post-Sales to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
Key Responsibilities
  • Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
  • Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
  • Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
What We're Looking For
Required Experience
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
  • 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
  • Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
  • Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
  • Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
  • Experience designing high-availability and disaster recovery solutions
  • Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
  • Experience with CI/CD pipelines for infrastructure and applications

Agent Engineering & Development:
  • 1+ years of experience building production AI/ML applications or agents
  • Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
  • Experience with state management patterns (short-term and long-term memory)
  • Experience designing and implementing evaluation frameworks for AI applications
  • Strong prompt engineering skills with experience in optimization and A/B testing
  • Experience with vector stores, RAG patterns, and knowledge organization
  • Experience with tool integration, API design, and error handling patterns
  • Strong Python and/or TypeScript development skills

Customer-Facing:
  • Customer-facing experience with enterprise customers
  • Experience conducting technical assessments or infrastructure audits
  • Strong communication skills with ability to explain technical concepts to diverse audiences
Key Attributes
  • Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
  • Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
  • Experience working cross-functionally with engineering teams, product teams, and customers
  • Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
  • Ability to balance infrastructure architecture with agent development work
  • Strong engineering background with hands-on development experience

Location: Remote
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Apply