1

Fintech Engineer Jobs in Gilbert, AZ (NOW HIRING)

Principal AI Engineer

Phoenix, AZ · On-site

$180 - $230/hr

Confiz is seeking a Principal AI Engineer in the Phoenix AZ market, who can design and drive end-to ... fintech, and multiple Silicon Valley startups. What makes Confiz stand out is our focus on ...

... 66th on FinTech 100 35th among top private companies in New Jersey Collabera recognizes true ... BS in Mechanical Engineering or Aeronautical Engineering (or equivalent) required with ...

Java AI Developer - Backend AI

Phoenix, AZ · On-site

$50.25 - $65/hr

Title: Java AI Developer - Backend AI Location: Phoenix, AZ/ Charlotte, NC Key Responsibilities ... Experience in banking, fintech, or digital platforms * Familiarity with Kubernetes, OpenShift, or ...

Lead AI Engineer

Phoenix, AZ · On-site

$99K - $131K/yr

Experience building agentic systems in fintech or other regulated industries. * Experience as a founding engineer or early technical leader in AI-driven products. * Demonstrated success delivering ...

GTM Engineer

Phoenix, AZ · On-site

$130K - $180K/yr

Beyond having one of the most coveted domain names in FinTech, wealth.com is a dynamic, revenue ... About the Role Wealth.com is looking for a GTM Engineer to build and maintain the automation and ...

Founding GTM Engineer (Series A Fintech / EdTech) Location: San Francisco, CA or Phoenix, AZ (In-Person, Full Time) | Seniority: Founding / Senior IC | Equity: Meaningful Founding Stake The Mission:

Founding GTM Engineer

Phoenix, AZ · On-site

$120K - $170K/yr

Founding GTM Engineer (Series A Fintech / EdTech) Location: San Francisco, CA or Phoenix, AZ (In-Person, Full Time) | Seniority: Founding / Senior IC | Equity: Meaningful Founding Stake The Mission:

Sr. Network Engineer

Scottsdale, AZ · Hybrid

$104K - $143K/yr

The Senior Network Engineer designs, builds, implements, automates, and supports complex network ... Experience in regulated environments such as FinTech. Physical Requirements Working conditions ...

AI Engineer

Phoenix, AZ

$125K - $175K/yr

AI Engineer Location: San Francisco, CA or Phoenix, AZ (In-Office) Partnership: EQL Tech has been ... fintech product demands * Create robust evals: build evaluation frameworks that make AI behaviour ...

AI Engineer

San Francisco, CA · On-site

$125K - $175K/yr

AI Engineer Location: San Francisco, CA or Phoenix, AZ (In-Office) Partnership: EQL Tech has been ... fintech product demands * Create robust evals: build evaluation frameworks that make AI behaviour ...

AI Engineer

Phoenix, AZ · On-site

$125K - $175K/yr

AI Engineer Location: San Francisco, CA or Phoenix, AZ (In-Office) Partnership: EQL Tech has been ... fintech product demands * Create robust evals: build evaluation frameworks that make AI behaviour ...

Senior Enterprise Infrastructure Engineer

Tempe, AZ · On-site

$105K - $143K/yr

Preferred : • Experience in fintech, crypto, or regulated financial services environments. • ... engineering techniques to augment operational processes (e.g., Claude Code, OpenCode, LLM-driven ...

Showing results 21-40

Fintech Engineer information

See Gilbert, AZ salary details

$37.9K

$115.5K

$190.9K

How much do fintech engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for fintech engineer in Gilbert, AZ is $115,495.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,700.00 and $151,000.00 per year, depending on experience, location, and employer.

What are some common challenges Fintech Engineers face when integrating new technologies with legacy banking systems?

Fintech Engineers often encounter difficulties when connecting modern applications to legacy banking infrastructures, which may use outdated programming languages or lack robust APIs. These challenges require creative problem-solving, strong documentation skills, and close collaboration with IT and compliance teams to ensure security and regulatory standards are met. Successfully navigating these integrations not only improves technical proficiency but also builds valuable experience in bridging traditional finance with cutting-edge technology.

What is a Fintech Engineer?

A Fintech Engineer is a technology professional who designs, develops, and maintains software systems and solutions for the financial technology industry. Their work typically involves building applications and platforms for digital banking, payment processing, online lending, investment management, and other financial services. Fintech Engineers often use programming languages like Python, Java, or C++, and they must understand financial regulations, cybersecurity, and emerging technologies such as blockchain and artificial intelligence. They play a crucial role in making financial services more accessible, efficient, and secure.

What is the difference between Fintech Engineer vs Software Developer in Fintech?

AspectFintech EngineerSoftware Developer in Fintech
Required CredentialsBachelor's in Computer Science, Fintech certificationsBachelor's in Computer Science or related field
Work EnvironmentFinancial institutions, Fintech startupsTech companies, Fintech firms
Industry UsageDesigns financial tech solutions, blockchain, paymentsDevelops software applications, APIs for Fintech

Fintech Engineers focus on creating and implementing financial technology solutions, often working on blockchain, payments, and security systems. Software Developers in Fintech build the applications and platforms that power these solutions. While both roles require programming skills, Fintech Engineers typically have specialized knowledge of financial systems and compliance, making their roles distinct yet overlapping in the Fintech industry.

What are the key skills and qualifications needed to thrive as a Fintech Engineer?

To thrive as a Fintech Engineer, you need strong programming abilities (such as Python, Java, or C++), a solid understanding of financial systems, and a relevant degree in computer science or a related field. Familiarity with fintech platforms, blockchain technology, APIs, and certifications like AWS Certified Solutions Architect or CFA are highly beneficial. Analytical thinking, problem-solving, attention to detail, and effective communication are crucial soft skills in this role. These competencies are vital for developing secure, innovative, and compliant financial technology solutions in a rapidly evolving industry.
What are popular job titles related to Fintech Engineer jobs in Gilbert, AZ? For Fintech Engineer jobs in Gilbert, AZ, the most frequently searched job titles are:
What job categories do people searching Fintech Engineer jobs in Gilbert, AZ look for? The top searched job categories for Fintech Engineer jobs in Gilbert, AZ are:
What cities near Gilbert, AZ are hiring for Fintech Engineer jobs? Cities near Gilbert, AZ with the most Fintech Engineer job openings:
Infographic showing various Fintech Engineer job openings in Gilbert, AZ as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $115,495 per year, or $55.5 per hour.

Principal AI Engineer

Confiz Limited

Phoenix, AZ • On-site

$180 - $230/hr

Other

Posted 6 days ago


Job description

Confiz is seeking a Principal AI Engineer in the Phoenix AZ market, who can design and drive end-to-end AI-powered solutions from data engineering and model architecture to full-stack integration and deployment. This role bridges data platforms, AI/ML systems, and application development, ensuring solutions are scalable, secure, and production-ready.

Responsibilities
  • Design and architect AI/ML solutions, including LLM-based applications, agentic systems, and predictive models, aligned with business objectives.
  • Define data architecture and pipelines using Databricks (Delta Lake, Unity Catalog, MLflow) for large-scale data processing and model training/serving.
  • Architect full-stack solutions that integrate AI models into web/enterprise applications — covering front-end, back-end APIs, and cloud infrastructure.
  • Evaluate and select appropriate AI frameworks, LLM providers (OpenAI, Anthropic, Azure AI Foundry, etc.), and vector databases for use-case fit.
  • Establish best practices for model lifecycle management: versioning, monitoring, retraining, and governance.
  • Collaborate with data engineers, ML engineers, full-stack developers, and product owners to translate business requirements into technical architecture.
  • Design scalable, secure, and cost-optimized cloud architectures (Azure/AWS/GCP) for AI workloads.
  • Conduct architecture reviews, POCs, and technical feasibility assessments for new AI initiatives.
  • Mentor engineering teams on AI integration patterns, prompt engineering, RAG pipelines, and agentic workflows.
  • Ensure solutions meet performance, security, and compliance standards (data privacy, responsible AI practices).
Requirements
  • 10+ years in software/solution architecture, with 4+ years specifically in AI/ML architecture.
  • AI/ML: Strong understanding of LLMs, RAG architectures, agentic AI systems, prompt engineering, model fine-tuning, and MLOps.
  • Databricks: Hands-on experience with Databricks Lakehouse (Delta Lake, Unity Catalog, MLflow, Databricks Workflows), Spark-based data processing.
  • Full-Stack Development: Working knowledge of front-end (React/Angular) and back-end (Node.js/.NET/Python) development, API design (REST/GraphQL), and microservices architecture.
  • Cloud Platforms: Experience with Azure (AI Foundry, Cognitive Services) and/or AWS/GCP AI & data services.
  • Data Engineering: Familiarity with ETL/ELT pipelines, data modeling, and data governance.
  • Programming: Python (mandatory), plus exposure to SQL, and at least one full-stack language (JavaScript/TypeScript, C#, or Java).
  • Architecture: Proven experience designing scalable, distributed systems; solid grasp of system design principles, security, and DevOps/CI-CD practices.
  • Strong stakeholder communication skills — ability to translate technical architecture into business value for both technical and non-technical audiences.
Nice to Have
  • Experience with vector databases (Pinecone, Weaviate, Snowflake Cortex).
  • Exposure to containerization (Docker/Kubernetes) and infrastructure-as-code (Terraform/Bicep).
  • Prior experience in a client-facing or pre-sales/solutioning capacity.
  • Certifications in Azure/AWS AI or Databricks (Databricks Certified Data Engineer/ML Associate).

We have a global team of amazing individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups.

What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.

People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.

To know more about Confiz Limited, visit https://www.linkedin.com/company/confiz/

#J-18808-Ljbffr