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Remote Ai Implementation Jobs in California (NOW HIRING)

Willingness to learn how to use AI tools to accelerate plugin development and iterate on existing ... Familiarity with data migration concepts Location Remote position within the United States, with ...

Senior Consultant - System Implementation

Los Angeles, CA ยท On-site +1

$105K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Forward Deployed AI Engineer, West

San Francisco, CA ยท On-site +1

$155K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

While we are a remote-first company, the nature of this role requires candidates to be based in the ... What You'll Do * Partner directly with enterprise AI teams to design, implement, and scale ...

Senior Implementation Manager

San Francisco, CA ยท Remote

$150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Familiarity with AI and LLM applications within technology-enabled service environments ... Ground floor opportunity with one of the fastest-growing startups in health-tech * Fully remote ...

AI Solutions Manager, Digital Native

San Francisco, CA ยท On-site +1

$140K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

While we are a remote-first company, the nature of this role requires candidates to be based in the ... implementations. You'll be involved in exciting and complex customer use cases and leverage your ...

AI Engineer

San Mateo, CA ยท Remote

  • Medical

  • Dental

  • Vision

Serve as the primary technical advisor for enterprise customers throughout implementation and ... Remote-friendly within the United States * Preference for candidates located near major East or ...

AI Solutions Manager, West

San Francisco, CA ยท On-site +1

$175K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

While we are a remote-first company, the nature of this role requires candidates to be based in the ... smooth implementation, and advise on technical best practices. * Run workshops and training ...

AI Solutions Manager, West

San Francisco, CA ยท On-site +1

$140K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

While we are a remote-first company, the nature of this role requires candidates to be based in the ... smooth implementation, and advise on technical best practices. * Run workshops and training ...

Engagement Manager - AI Agents

Redwood City, CA ยท Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Why Join Us As an Engagement Manager for AI Agent deployments, you'll own how we implement VoiceAI ... Support for remote and hybrid work connectivity needs * Pre-tax Commuter Benefits: Tax-efficient ...

Engagement Manager - AI Agents

Redwood City, CA ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Why Join Us As an Engagement Manager for AI Agent deployments, you'll own how we implement VoiceAI ... Support for remote and hybrid work connectivity needs * Pre-tax Commuter Benefits: Tax-efficient ...

Software AI Engineer2 Experience: 6 - 8 yrs Location: 1 - US Bay Area 1 - US Remote Key Responsibilities: Design, develop, and implement AI/ML models and algorithms using Python. Deploy and manage AI ...

Member of Technical Staff, Applied AI

San Mateo, CA ยท On-site +1

$180K - $430K/yr

Design and implement AI systems that handle complex legal reasoning and document analysis. * Lead ... Competitive salary, equity and healthcare * We're a hybrid company - many roles are remote-friendly ...

Development Team Lead - AI Team

Irvine, CA ยท Remote

$200K - $250K/yr

... implementation and architecture. This is a Remote role. Here's How You'll Make an Impact on the ... Lead delivery of AI-powered product capabilities from design through production * Provide day-to ...

As a remote-first, global team spanning North America, Europe, and Southeast Asia, we foster a ... Leverage AWS services, such as SageMaker and Bedrock, to implement state-of-the-art AI/ML solutions.

AI Lead (SAP Background Required)

Torrance, CA ยท On-site +1

$106K - $139K/yr

We have got a Remote contract opportunity for AI Lead with one of our clients. The detail of the ... Implement evaluation frameworks to measure LLM performance Required Skills: * Experience with ...

Showing results 21-40

Remote Ai Implementation information

What is a remote AI implementation specialist?

A Remote AI Implementation Specialist is a professional who helps organizations deploy and integrate artificial intelligence (AI) solutions without being physically present on-site. They work remotely to assess business needs, customize AI models, oversee technical setups, and ensure seamless integration with existing systems. These specialists often collaborate with cross-functional teams, provide training, and troubleshoot issues to ensure AI tools deliver maximum value. Their expertise enables companies to adopt advanced AI technologies efficiently, regardless of geographic location.

What is the difference between Remote Ai Implementation vs Data Scientist?

AspectRemote Ai ImplementationData Scientist
Required CredentialsAI certifications, programming skills, knowledge of ML frameworksStatistics, programming, data analysis, often a degree in related field
Work EnvironmentCollaborative teams, project-based, often client-facingResearch-focused, data analysis, model development
Industry UsageTech, finance, healthcare, retailTech, finance, healthcare, academia
Search & Comparison IntentImplementing AI solutions remotelyAnalyzing data, building models

Remote Ai Implementation involves deploying AI solutions across various industries, focusing on technical deployment and integration. Data Scientists analyze data and develop models, often in research or analytical roles. While both roles require programming and AI knowledge, Remote Ai Implementation emphasizes deployment skills, whereas Data Scientists focus on data analysis and model creation.

What are the key skills and qualifications needed to thrive as a remote AI implementation specialist?

To thrive as a Remote AI Implementation Specialist, you need a strong background in computer science, data analysis, and AI/machine learning concepts, often supported by a relevant degree or certification. Proficiency with programming languages (such as Python or R), cloud platforms (like AWS or Azure), and AI frameworks (such as TensorFlow or PyTorch) is essential. Exceptional problem-solving, communication, and project management skills help you collaborate effectively and translate business needs into technical solutions. These skills ensure successful deployment of AI solutions that align with organizational goals while facilitating smooth remote teamwork and client interactions.

What are some common challenges faced when implementing AI solutions remotely, and how can they be addressed?

One common challenge in remote AI implementation is maintaining clear communication and alignment between distributed teams, especially when dealing with complex data and evolving project requirements. To address this, regular virtual meetings, detailed documentation, and collaborative project management tools are essential. Additionally, ensuring secure and efficient access to data and resources can be tricky, so robust cybersecurity protocols and cloud-based platforms are often used. Open feedback channels and cross-functional collaboration also help in quickly resolving technical issues and adapting solutions to client needs.

What are the most commonly searched types of Ai Implementation jobs in California?

The most popular types of Ai Implementation jobs in California are:

What cities in California are hiring for Remote Ai Implementation jobs?

Cities in California with the most Remote Ai Implementation job openings:

Infographic showing various Remote Ai Implementation job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Software Engineer - AI Platform (US)

genious ai

Santa Clara, CA โ€ข On-site, Remote

Full-time

PTO

Re-posted 6 days ago


Job description

About us
We intend to defy the cliches while living them. Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial workflows using AI. You will be instrumental in shaping this cutting edge AI product owning features from design to launch.
Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial operations with AI-driven workflow automation. We're looking for software engineers with solid foundations in building production systems and a strong applied AI focus. You will be responsible for building functionalities into the product directly and writing production-grade code that brings advanced AI workflows into real-world use.
As an engineer at Genios, you'll focus on making minimum loveable products powered by AI-building scalable, reliable, and user-friendly systems. You'll work across model pipelines, infrastructure, and product layers, but with a clear emphasis on applied AI delivered in production. This role requires ownership, hands-on coding, and the ability to move fast while balancing robustness and innovation.
We have full-time roles available with remote work flexibility, hybrid, or on-site based on your preferences and seniority.
Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.
Key Responsibilities
  • Build and scale AI/ML and GenAI pipelines from experimental workflows to production-ready systems.
  • Integrate model training, evaluation, deployment, and monitoring into product workflows
  • Deploy and manage GenAI solutions such as chatbots, RAG applications, and predictive analytics tools.
  • Operationalize LLMs and AI agents, including prompt orchestration, chaining, and fine-tuning.
  • Benchmark models, develop evaluation frameworks, and improve reliability and auditability.
  • Implement observability, monitoring, and rollback mechanisms to ensure secure, scalable deployments.
  • Work across the stack-from backend systems to product SDKs-to deliver AI features directly into user-facing applications.
  • Prototype rapidly, gather feedback, and iterate while keeping scale and maintainability in mind.
  • Own critical product components and take responsibility for delivering robust, production-grade features.
  • Collaborate cross-functionally with data scientists, product managers, and engineers to scope specifications and solve real customer problems.
  • Debug complex issues and perform root cause analysis across model pipelines, infrastructure, and product layers to ensure reliability and continuous improvement.

Qualifications
  • BS or MS in Computer Science, Statistics, or Mathematics, or equivalent experience.
  • Strong software engineering background with proven experience shipping production systems.
  • 3+ years of experience in ML/DL pipelines, deployment, and applied AI solutions.
  • Proficiency in Python or Go with frameworks like TensorFlow, PyTorch, Scikit-Learn, FastAPI, or gRPC.
  • Experience with LLM and AI frameworks such as Langchain, LlamaIndex, Hugging Face Transformers, and OpenAI API.
  • Knowledge of RAG architectures, embeddings, reranking models, and LLM-based dialogue systems.
  • Experience building and scaling backend platforms, APIs, and microservices.
  • Comfortable working full-stack, from model APIs down to user-facing integrations.
  • Have shipped AI features that users actually use; production experience over theoretical knowledge.
  • Track record of building reliable products with strong attention to detail and usability.
  • Autonomous and excited about taking ownership over major initiatives.
  • Frequent user of AI products (Cursor, Claude Code, Copilot, etc.) during the development lifecycle.

Bonus Points
  • Production experience with LLMs (APIs or custom implementations) at meaningful scale.
  • Experience building agentic systems or LLM-enabled products.
  • Familiarity with prompt tuning methodologies and frameworks like self-prompting, DSPy, or Banks.
  • Experience with performance optimization and high-scale document indexing systems.
  • Prior startup experience, grit, and ability to thrive in fast-moving environments.
  • Familiarity with databases and comfortable writing SQL queries.

Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.
Perks
  • Competitive Compensation
  • Unlimited PTO
  • AI Assistants for work (Coding, General Purpose, etc.)