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Fintech Implementation Jobs in California (NOW HIRING)

RIT Solutions, Inc.

AI/ML Engineering Lead

Glendale, CA · Hybrid

$108K - $143K/yr

Experience in Responsible AI (RAI) and regulatory AI governance, especially in Fintech or other ... Architect and implement large-scale, low-latency, real-time systems with a focus on event-driven ...

Kikoff

Senior Platform Engineer

San Francisco, CA

$123K - $169K/yr

Balance fintech compliance requirements with developer experience * Participate in incident response and postmortems * Optimize system performance, scalability, and cost * Implement security controls ...

Kikoff

Staff Quality Engineer

San Francisco, CA · On-site

$200K - $240K/yr

Kikoff: The Fintech Powering Financial Security at Scale Kikoff is a profitable, pre-IPO fintech ... You'll define our quality strategy, build the systems that implement it, and enable product teams ...

HireScale

AI Product Consultant

San Francisco, CA

Core functional exposure should include SaaS platforms, healthcare systems, fintech products, and ... Collaborate closely with engineering teams to ensure accurate implementation of AI features

Thunes

Technical Project Manager

San Francisco, CA · On-site

... in the Fintech, Payments, and E-commerce industries on the implementation of our global network. You will be the hands-on technical expert, translating complex business needs into precise ...

Tranzeal, Inc.

Sr. CRM Engineer

Los Angeles, CA

$112K - $154K/yr

We are seeking a Sr. CRM Engineer with fintech or banking experience to design, build, and support ... Implement monitoring, observability, and system reliability solutions. * Collaborate with cross ...

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Fintech Implementation information

What is the difference between Fintech Implementation vs Fintech Project Manager?

AspectFintech ImplementationFintech Project Manager
Required CredentialsRelevant certifications (e.g., PMP, Agile), technical knowledgeProject management certifications (e.g., PMP), leadership skills
Work EnvironmentTechnical teams, client sites, financial institutionsCross-functional teams, client meetings, planning sessions
Employer & Industry UsageFintech companies, banks, financial service providersFinancial institutions, consulting firms, fintech firms
Search & Comparison IntentUnderstanding technical roles in fintech deploymentManaging fintech projects from start to finish

Fintech Implementation focuses on deploying and integrating fintech solutions, requiring technical skills and certifications. Fintech Project Managers oversee the planning, execution, and delivery of fintech projects, emphasizing leadership and coordination. While both roles work closely in fintech environments, Implementation specialists handle technical deployment, whereas Project Managers coordinate the overall project process.

What is Fintech Implementation?

Fintech Implementation refers to the process of integrating financial technology solutions into existing business operations or launching new fintech products and services. This involves selecting appropriate technologies, customizing systems, migrating data, ensuring regulatory compliance, and training staff. The goal is to enhance efficiency, improve customer experience, and maintain security within financial services. Successful implementation requires collaboration between technical teams, business stakeholders, and regulatory experts. It is a critical step for organizations aiming to stay competitive in the rapidly evolving financial sector.

What are the key skills and qualifications needed to thrive as a Fintech Implementation Specialist, and why are they important?

To thrive as a Fintech Implementation Specialist, you need a solid background in financial services, project management, and technical integration, often supported by a degree in business, finance, or information technology. Familiarity with API integrations, CRM systems, digital payment platforms, and project management tools (such as Jira or Trello) is typically required, and certifications like PMP or Agile can be advantageous. Strong analytical thinking, effective communication, and problem-solving skills help professionals navigate client requirements and facilitate smooth product deployments. These skills ensure successful implementation of fintech solutions, leading to client satisfaction and streamlined financial operations.

What are some common challenges faced during the implementation of fintech solutions, and how can they be addressed?

Fintech Implementation professionals often encounter challenges such as integrating new technologies with legacy systems, ensuring regulatory compliance, and managing stakeholder expectations. Successfully addressing these challenges requires clear communication with technical teams, thorough planning for data migration, and close collaboration with compliance departments to meet legal standards. Proactive risk assessments and regular updates with stakeholders can also help ensure smooth project delivery and minimize disruptions.
What are popular job titles related to Fintech Implementation jobs in California? For Fintech Implementation jobs in California, the most frequently searched job titles are:
What job categories do people searching Fintech Implementation jobs in California look for? The top searched job categories for Fintech Implementation jobs in California are:
What cities in California are hiring for Fintech Implementation jobs? Cities in California with the most Fintech Implementation job openings:
Fintech Implementation jobs near you
Infographic showing various Fintech Implementation job openings in California as of June 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 84% In-person, 5% Hybrid, and 11% Remote job distribution.

AI/ML Engineering Lead

RIT Solutions Inc/ Tech Dev IT/ Texperts Inc/ConceptsIT, Inc.

Glendale, CA • Hybrid

$108K - $143K/yr

Other

Posted 3 days ago

Job description

ALL ROLES ARE HYBRID IN THE OFFICE (2-3 DAYS/WEEK) UNLESS REMOTE IS NOTED
Please submit qualified candidates and include FULL LEGAL NAME as it appears on the passport
AI/ML Engineering Lead
Iselin, NJ, Charlotte, NC or Chandler, AZ
12+ months with possibility to convert
Hybrid onsite 2 days / 3 days remote
Required skillset
  • Proven experience in Conversational AI and synthetic agent development, especially within Google Cloud environments.
  • Hands-on expertise with GenAI orchestration tools (LangGraph, LangChain, ReACT, LLMs).
  • Strong background in real-time, event-driven architectures and cloud-native technologies (GCP, Kafka, Pub/Sub, Big Table).
  • Deep understanding of MLOps practices for scalable AI deployment and monitoring.
  • Experience in Responsible AI (RAI) and regulatory AI governance, especially in Fintech or other highly regulated industries.
  • Track record of cost-efficient AI model deployment, optimizing deterministic vs. probabilistic approaches.

Day to Day
  • Develop Synthetic AI Agents using the Google Conversational Platform and playbooks to enhance automated interactions.
  • Orchestrate multiple Generative AI Agents using LangGraph, LangChain (with ReACT), and LLM tooling for intelligent workflow automation.
  • Architect and implement large-scale, low-latency, real-time systems with a focus on event-driven processing and extended conversational context using Big Table, Time Series, Pub/Sub, and Kafka.
  • Leverage ML frameworks and MLOps best practices to streamline the deployment, monitoring, and maintenance of AI models.
  • Continuously combat AI hallucinations by implementing real-time detection and correction mechanisms, rather than one-time adjustments.
  • Design and implement guardrails, supervisory mechanisms, and observability frameworks to ensure AI transparency, reliability, and explainability.
  • Lead Responsible AI (RAI) initiatives at scale, ensuring compliance with regulatory requirements for industries like Fintech.
  • Optimize cost-efficiency of GenAI solutions through hybrid approaches, balancing deterministic and probabilistic methods.
  • Integrate AI solutions into Google Cloud's native microservices and event-driven architectures, leveraging technologies such as Big Table, Pub/Sub, and AlloyDB.

INCLUDE WITH SUBMITS PLEASE
Please provide your years of experience in the following:
  • GenAI orchestration tools
    • LangGraph
    • LangChain
    • ReACT, LLM
  • Conversational AI
  • Google Cloud
  • MLOps practices
  • ML frameworks
  • ReasonableAI (RAI)

Apply