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Ai Implementation Jobs in Carson, CA (NOW HIRING)

acralending

AI Engineer

Irvine, CA · On-site

This role will be responsible for designing and implementing AI agents, autonomous workflows, and enterprise automation systems that drive operational efficiency, reduce cycle times, improve borrower ...

acralending

AI Engineer

Irvine, CA · On-site

This role will be responsible for designing and implementing AI agents, autonomous workflows, and enterprise automation systems that drive operational efficiency, reduce cycle times, improve borrower ...

Acra Lending

AI Engineer

Irvine, CA · On-site

$140K - $160K/yr

This role will be responsible for designing and implementing AI agents, autonomous workflows, and enterprise automation systems that drive operational efficiency, reduce cycle times, improve borrower ...

Divergent

AI Solutions Engineer

Torrance, CA · On-site

Implement usage monitoring and bias mitigation to improve result quality. AI Adoption & Enablement * Act as the primary internal AI champion, providing guidance, training, and bestpractice workshops ...

Inforcer

Implementation Manager - US

Cerritos, CA · On-site

... AI solutions to support to the SMB market. We provide MSPs (Managed Service Providers) with the ... In this role, you will be responsible for managing multiple implementations, hosting client ...

Neara

Director, Customer Implementation

Los Angeles, CA · On-site

$180K - $250K/yr

... AI and machine learning to accelerate everything from data classification to complex scenario ... You have successfully navigated high-pressure, complex implementations. You've seen things go wrong ...

Elevance Health

Business Change Manager

Costa Mesa, CA · On-site

$81K - $154K/yr

The team combines business process engineering, operational transformation, AI implementation, performance analytics and change management to ensure digital solutions deliver measurable business ...

Elevance Health

Business Change Manager

Los Angeles, CA · On-site

$81K - $154K/yr

The team combines business process engineering, operational transformation, AI implementation, performance analytics and change management to ensure digital solutions deliver measurable business ...

Flip

Implementation Manager, Healthcare

Los Angeles, CA · On-site

Implementation Manager REPORTING TO: Head of Customer Success - Healthcare LOCATION: Marina del Rey ... Ever call your favorite eCommerce brand or healthcare provider, and have a crazy good Voice AI ...

Divergent

AI Solutions Engineer

Los Angeles, CA

$122K - $168K/yr

Implement usage monitoring and bias mitigation to improve result quality. AI Adoption & Enablement * Act as the primary internal AI champion, providing guidance, training, and best‑practice ...

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Showing results 41-60

All JobsAi Implementation JobsAi Implementation Jobs in Carson, CA

Ai Implementation information

See Carson, CA salary details

$40.8K

$108.3K

$175.7K

How much do ai implementation jobs pay per year?

As of Sep 3, 2026, the average yearly pay for ai implementation in Carson, CA is $108,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $126,500.00 per year, depending on experience, location, and employer.

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What job categories do people searching Ai Implementation jobs in Carson, CA look for?

The top searched job categories for Ai Implementation jobs in Carson, CA are:

What cities near Carson, CA are hiring for Ai Implementation jobs?

Cities near Carson, CA with the most Ai Implementation job openings:

Ai Implementation jobs near you
Infographic showing various Ai Implementation job openings in Carson, CA as of August 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 63% Physical, 5% Hybrid, and 32% Remote job distribution, with an average salary of $108,263 per year, or $52 per hour.

AI Engineer

acralending

Irvine, CA • On-site

Full-time

Re-posted 24 days ago

Job description

Summary   

We are seeking an experienced AI Engineer focused on Agentic AI and Workflow Automation to architect, build, and deploy intelligent systems that could transform our business.

This role will be responsible for designing and implementing AI agents, autonomous workflows, and enterprise automation systems that drive operational efficiency, reduce cycle times, improve borrower and broker experience, enhance compliance, and increase EBITDA through scalable automation.

The ideal candidate combines expertise in LLMs, agentic architectures, orchestration frameworks, and workflow automation with a practical understanding of enterprise systems integration and regulated financial services environments.

 

Essential Duties and Responsibilities

Agentic AI Architecture & Development

  • Design, develop, and deploy AI agents and multi-agent systems to automate mortgage workflows across the loan lifecycle.
  • Build intelligent orchestration frameworks capable of autonomous decision support, task execution, and workflow routing.
  • Develop AI copilots and internal assistants for underwriting, loan processing, sales, operations, secondary markets, compliance, capital markets, and executive leadership.
  • Create AI-powered exception handling and escalation frameworks for complex loan scenarios.

Workflow Automation

  • Identify, redesign, and automate high-friction operational workflows across the mortgage platform.
  • Develop automation solutions for loan intake, document classification, income and asset analysis, credit review, conditions management, broker communication, borrower engagement, QC and compliance reviews, and post-close processes.

LLM & AI Engineering

  • Implement Retrieval-Augmented Generation (RAG) systems using lending guidelines, overlays, investor matrices, and SOPs.
  • Build prompt orchestration, memory systems, and agent reasoning frameworks.
  • Evaluate and deploy emerging AI technologies for document intelligence, NLP, computer vision, and decision support.

Systems Integration

  • Integrate AI systems with LOS platforms, CRM systems, pricing engines, OCR/document recognition tools and data platforms.
  • Develop APIs and middleware to enable seamless AI workflow orchestration.

Governance, Risk & Compliance

  • Ensure AI implementations align with mortgage regulatory requirements and governance standards.
  • Design controls around explainability, auditability, model monitoring, and human-in-the-loop approvals.

Strategy & Innovation

  • Help define and execute the enterprise AI strategy.
  • Prioritize high-ROI automation opportunities that improve revenue, pull-through, turn times, cost-to-originate, scalability, and EBITDA.

 

Required Qualifications

 

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • 5+ years of software engineering, AI engineering, or machine learning experience.
  • 2+ years building LLM-based applications or agentic AI systems.
  • Experience with orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or MCP-based architectures.
  • Strong Python development skills and experience with APIs, vector databases, prompt engineering, RAG architectures, and workflow automation.

 

Preferred Qualifications

  • Experience in mortgage lending, fintech, banking, or financial services.
  • Familiarity with Non-QM underwriting guidelines including DSCR, Bank Statement, Asset Qualifier, ITIN, Foreign National, and Jumbo products.
  • Experience with mortgage LOS platforms and deploying AI in regulated environments.

Technical Stack (Preferred)

  • Languages: Python, SQL, JavaScript/TypeScript
  • AI/LLM: OpenAI, Anthropic, open-source LLMs, Hugging Face
  • Automation: n8n, UiPath, Zapier, Make, Apache Airflow
  • Cloud & DevOps: AWS, Azure, GCP, Docker, Kubernetes, CI/CD

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