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Ai Frontend Developer Jobs in Georgia (NOW HIRING)

Together For Talent

Applied AI Engineer

Atlanta, GA · On-site +1

$170K - $230K/yr

Senior Applied AI Engineer | Spatial Computer Vision & Digital Twins Location: Fully Remote (in the ... front-end engineers building immersive interfaces. * Define metrics, validation frameworks, and ...

Pwc

AI Solutions Engineering Delivery Lead

Atlanta, GA · On-site

$98K - $129K/yr

The AI Solutions Engineering Delivery Lead will oversee multiple multidisciplinary teams consisting of data scientists, software engineers, front-end developers, and other specialists in the design ...

Lever Demo 2

Front End Engineer

Atlanta, GA

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Compunnel

Full Stack Java Developer

Alpharetta, GA · On-site

$51.25 - $66.25/hr

Full Stack Java Developer Key Responsibilities - Java Development: Proficiency in Java and Spring ... Years - Front end development 4-5 Years - React - Typescript - Javascript - SQL 9-10 Years - AI ...

WorldVia

Full Stack Engineer (AI Platform)

Roswell, GA · On-site

Join WorldVia as a Full Stack Engineer focused on our cutting-edge AI Platform and take your career ... In this role, you will be responsible for designing, developing, and maintaining both front-end and ...

WorldVia

Full Stack Engineer (AI Platform)

Atlanta, GA · On-site

Join WorldVia as a Full Stack Engineer focused on our cutting-edge AI Platform and take your career ... In this role, you will be responsible for designing, developing, and maintaining both front-end and ...

WorldVia

Full Stack Engineer (AI Platform)

Roswell, GA · On-site

Join WorldVia as a Full Stack Engineer focused on our cutting-edge AI Platform and take your career ... In this role, you will be responsible for designing, developing, and maintaining both front-end and ...

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All JobsAi Frontend Developer JobsAi Frontend Developer Jobs in Georgia

Ai Frontend Developer information

What is the difference between Ai Frontend Developer vs Machine Learning Engineer?

AspectAi Frontend DeveloperMachine Learning Engineer
CredentialsBachelor's in CS, Web Development skillsBachelor's/Master's in CS, Data Science or ML specialization
Work EnvironmentWeb development teams, UI/UX focusData science teams, algorithm development
Industry UsageAI-powered web apps, interactive interfacesAI models, data pipelines, predictive systems
Search & Comparison IntentFocus on frontend AI integrationFocus on AI model development

While both roles involve AI, an Ai Frontend Developer specializes in integrating AI features into web interfaces, whereas a Machine Learning Engineer focuses on developing and deploying AI models and algorithms. The roles often collaborate but differ in technical focus and work environment.

What is an AI frontend developer?

An AI frontend developer is a professional who designs and implements user interfaces that incorporate artificial intelligence features, such as chatbots, recommendation systems, or data visualization tools. They typically work with programming languages like JavaScript and frameworks like React or Angular, and may integrate AI models using APIs or machine learning libraries to enhance user experience.
What are popular job titles related to Ai Frontend Developer jobs in Georgia? For Ai Frontend Developer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Ai Frontend Developer jobs in Georgia look for? The top searched job categories for Ai Frontend Developer jobs in Georgia are:
What cities in Georgia are hiring for Ai Frontend Developer jobs? Cities in Georgia with the most Ai Frontend Developer job openings:
Ai Frontend Developer jobs near you
Infographic showing various Ai Frontend Developer job openings in Georgia as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Sr Mgr Software Engineering

ACI Worldwide

Norcross, GA • On-site

Full-time

Re-posted 3 days ago

Job description


Powering the world's payments ecosystem
ACI powers the payments ecosystem - globally, and you power ACI. You'll innovate, collaborate, and grow - in an energetic technology culture with decades of proven success. ACIers - in all roles and levels - are truly your colleagues and many are your friends. Our size and reach allow you to see the global impact of your work. You are visible, your talents are valued, and you are empowered to shape the future of payments.
As a Sr. Mgr. Software Engineering in Norcross, GA, you will join a diverse, passionate team, dedicated to powering the world's payments ecosystem!
Role Summary
We are seeking a hands-on Sr. Engineering Manager to lead a cross-functional team (Software Engineering, DevOps/Platform, Support and Quality Engineering) building and operating a low-latency, high-throughput core banking product platform. You will be accountable for end-to-end delivery: architecture-to-production execution, operational excellence, reliability, security/compliance, and an automation-first quality strategy. You will also bring demonstrated experience delivering AI-enabled initiatives and implementing AI-based solutions in production.
Location & Work Model: This is a hybrid position based out of Norcross, GA. Candidates are expected to be on-site on designated days and may work remotely on other days in accordance with team and business needs.
Key Responsibilities
1) Engineering Leadership & Delivery
  • Lead and grow a cross-functional team spanning backend, frontend, DevOps/Platform engineering, and Quality Engineering; drive strong ownership, execution discipline, and continuous improvement.
  • Own delivery for roadmap initiatives and platform modernization across the full SDLC: planning, design, implementation, reviews, testing, release, and production operations.
  • Establish and communicate technical direction in partnership with Product Management and Architecture to ensure the platform meets business goals and non-functional requirements.

2) Low-Latency, Reliability, and Performance (NFR-First)
  • Drive performance and latency engineering: define latency/throughput SLOs, performance budgets, regression testing, and capacity planning to maintain predictable low-latency behavior under load.
  • Build "always-on" operational readiness: observability (logs/metrics/traces), runbooks, safe rollouts (feature flags, progressive delivery), and rapid rollback practices.
  • Partner with Platform/SRE functions to ensure Kubernetes runtime reliability patterns (HA, scaling, and operational tooling) are built into the product delivery lifecycle. ,

3) DevOps / Platform Engineering Ownership
  • Lead the team's cloud-native delivery model on Kubernetes (including GitOps-based deployment and configuration-as-code). ,
  • Own and evolve CI/CD and artifact practices using technologies such as Ansible, Nexus, Carvel toolchain (e.g., ytt, kapp-controller), and Kubernetes-native release workflows.
  • Ensure secure, repeatable environment provisioning and reliable deployments across dev/test/stage/prod with automation as the default.

4) Quality Engineering & Test Automation (Shift-Left)
  • Build a "quality-first" culture with an automated testing strategy across unit/integration/e2e, with strong coverage targets and non-negotiable quality gates.
  • Implement and operationalize modern test orchestration and automation tooling, including Testkube, and enforce reliable, maintainable CI test execution.
  • Drive security and compliance testing as part of CI/CD (SAST/DAST/dependency scanning), ensuring regulated-workload readiness and auditability. ,

5) AI-Enabled Engineering & Delivered AI Projects (Must-Have)
  • Lead delivery of AI-enabled initiatives in two dimensions:
    1. AI-accelerated SDLC (planning, code review, test generation, documentation, defect reduction), and
    2. AI/ML/GenAI solution delivery where AI is part of the shipped product or operational capability. ,
  • Establish responsible AI usage practices: teams are encouraged to use AI, but remain accountable for outputs; validate correctness, security, and maintainability before merging.
  • Enforce safe prompting and data handling: never place secrets/credentials/PCI/PII into prompts; use placeholders and abstractions.

6) People Leadership & Stakeholder Management
  • Coach engineers, DevOps, and QE leads; build career plans, performance feedback loops, and hiring strategies to raise the talent bar.
  • Collaborate with Product, Security, Compliance, and Operations leaders to deliver outcomes with transparency, predictable execution, and clear metrics.

Required Qualifications
  • 8+ years in software engineering building distributed systems; 4+ years leading teams (engineering + DevOps and/or QE leadership experience strongly preferred).
  • Proven experience building and operating low-latency, high-throughput systems in banking, payments, or other regulated transaction platforms.
  • Hands-on expertise with:
    • Kubernetes and cloud-native architectures (microservices, containerization, orchestration)
    • Java backend development (high-performance, concurrent, resilient services)
    • Angular (modern web UI, performance-minded frontend engineering)
    • Ansible (automation/configuration management)
    • Nexus (artifact repository and dependency management)
    • Cloud Infrastructure(Familiarity with deployment and development on public and private cloud Azure , AWS, OpenShift)
  • Demonstrated delivery of AI projects implemented in real environments (production or production-like), such as:
    • GenAI-assisted developer workflows with measurable outcomes (quality/velocity/defect reduction), and/or
    • AI/ML capabilities embedded into product or operations (e.g., automated diagnostics, anomaly detection, intelligent triage, or similar).
  • Strong engineering excellence mindset: automated testing, security-by-design, observability, and disciplined release practices.

Preferred Qualifications
  • Experience with GitOps and Kubernetes platform components (policy-as-code, secrets management, progressive delivery). ,
  • Experience with regulated environments and compliance constraints (PCI/GDPR/SOC2) and integrating security controls into CI/CD. ,
  • Experience scaling test automation and implementing testing pyramids and coverage standards across multiple teams.
  • Familiarity with internal developer platform concepts ("golden paths", self-service, reduced cognitive load).
  • Carvel toolchain (e.g., ytt, kapp-controller) for packaging/config/deploy workflows
  • Testkube for test orchestration and automation

Applicants must be currently authorized to work in the United States on a full-time basis. This position does not offer sponsorship for employment visa status or work permit now or in the future.
In return for your expertise, we offer opportunities for growth, career development, and a competitive compensation and benefits package-all within an innovative and collaborative work environment.
Are you ready to help us transform the payments ecosystem? To learn more about ACI Worldwide, visit our web site at www.aciworldwide.comJob ID (Requisition #10330)
ACI Worldwide is an AA/EEO employer in the United States, which includes providing equal opportunity for protected veterans and individuals with disabilities, and an EEO employer globally.
Important Notice About Recruitment Scams
Job seekers should be aware of ongoing recruitment scams where individuals or organizations impersonate legitimate companies to offer fake job opportunities. These scams often involve requests for personal information, payments, or interviews through unofficial channels. Please be cautious and verify any communications claiming to be from our company (www.aciworldwide.com / @aciworldwide.com). The ACI Worldwide recruitment team will always follow official channels and will never request payment.
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About Us
ACI Worldwide is a global leader in mission-critical, real-time payments software. Our proven, secure and scalable software solutions enable leading corporations, fintechs and financial disruptors to process and manage digital payments, power omni-commerce payments, present and process bill payments, and manage fraud and risk. We combine our global footprint with a local presence to drive the real-time digital transformation of payments and commerce.

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