Waukee, IA

Engineer Jobs in Waukee, IA

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Today

AI Engineer

VizyPay Waukee, IA

Waukee, IA

Today

$100k - $130k/yr Full time AI

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Job Description

VizyPay is seeking an AI Engineer to lead the design, deployment, and governance of enterprise AI solutions within a security- and compliance-driven payments environment. This onsite role in Waukee, IA focuses on shaping the enterprise AI strategy, building a scalable AI platform, and delivering production-grade AI capabilities across VEXIS and connected systems, with a priority on safety, measurable impact, auditability, resilience, and cost efficiency. You will work closely with executive leadership to align AI initiatives with platform architecture, security controls, and product roadmaps.

Responsibilities

Lead the enterprise AI strategy and multi-year roadmap in collaboration with the CIO and executive leadership; partner with business units to identify, prioritize, and validate AI use cases.
Define KPIs for each AI initiative, measure ROI and adoption, and forecast/influence AI platform and inference spend against the approved budget.
Lead build-vs-buy evaluations of AI platforms and models (commercial APIs, open-weight, managed cloud services) with TCO analysis, focused on cost, security, latency, scalability, and compliance.
Coordinate with other groups to ensure AI initiatives align with platform architecture, security controls, and product roadmaps.
Establish AI engineering standards and reusable patterns; mentor engineers; lead AI architecture reviews; collaborate with L&D on enablement and training guidelines.
Monitor evolving AI regulations and guidance (eg, EU AI Act, US state statutes, card-network requirements) and update governance accordingly.
Architect and operate a secure, scalable enterprise AI platform including LLM gateway and model routing (Anthropic/OpenAI APIs, AWS Bedrock, Azure OpenAI), prompt/version management, vector search and RAG pipelines, evaluation harnesses, and cost/usage guardrails.
Deliver production AI solutions in VEXIS and adjacent systems—agent/merchant experiences, intelligent document processing, workflow automation, analytics copilots, and productivity tooling—selecting techniques from classical ML to LLM- and agent-based approaches.
Design agentic AI workflows with human-in-the-loop controls, least-privilege tool access, and rollback safety; integrate AI with enterprise systems via secure APIs, webhooks, event-driven patterns, and MCP services.
Implement rigorous LLM/MLOps practices: observability, offline/online evaluation, A/B experimentation, regression testing, drift monitoring, and inference cost/latency optimization.
Ensure resilience of AI-dependent workflows with proper RTO/RPO alignment, provider failover, model fallback, and graceful degradation; manage releases under formal change control and own production incident response for AI services.
Establish enterprise AI governance framework: acceptable-use policy, model risk classification, data-handling standards, human oversight requirements, and security/compliance due diligence for AI vendors.
Engineer secure-by-design AI systems aligned with PCI DSS and financial obligations: least privilege, data classification/minimization, defined retention, and exclusion of sensitive data from prompts, training data, embeddings, and logs.
Apply OWASP Top 10 for LLM applications and partner with InfraSec on threat modeling and runtime guardrails for prompt injection, data leakage, and model abuse.
Maintain audit-ready documentation for production AI systems—model/system cards, architecture decision records, and data lineage—and define responsible-AI standards for fairness, transparency, and disclosure of AI-assisted decisions.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
7+ years of professional software engineering experience, including 3+ years designing, building, and operating production ML/AI systems at enterprise scale with responsibility for reliability, cost, and outcomes.
AI/ML engineering certifications such as AWS Certified Machine Learning – Specialty, Microsoft Azure AI Engineer Associate (AI-102), or Databricks Generative AI Engineer Associate are preferred.
AI governance and security certifications such as IAPP AI Governance Professional, ISO/IEC 42001 Lead Implementer, or ISACA Advanced in AI Audit are preferred.
Experience establishing an AI function, platform, or practice from the ground up in an organization without prior AI infrastructure.
Experience in security- or compliance-constrained environments (PCI DSS, SOC 2, or financial services regulation) delivering under formal SDLC and change management.
Strong SQL and production relational databases (PostgreSQL, SQL Server, MySQL) with in-database vector search; ETL/ELT pipelines, data modeling, and data quality for AI readiness.
Technical proficiency in Python and/or TypeScript, API design, event-driven integration (REST, webhooks, queues/streaming), cloud-native services (AWS, Azure), containers, serverless/edge compute, and infrastructure-as-code (Terraform).
Solid understanding of classical machine learning techniques with disciplined model validation.
Experience with RAG architectures, embeddings, vector databases (pgvector, Pinecone, Weaviate, Qdrant, OpenSearch), prompt engineering/versioning, structured outputs, function/tool calling, and multi-step agent orchestration.
Experience with LLM observability and evaluation platforms (Langfuse, LangSmith, Arize Phoenix), model lifecycle tooling (MLflow, Weights & Biases), and AI CI/CD (GitHub Actions).
OCR and structured extraction capabilities (Azure Document Intelligence, AWS Textract, Google Document AI) or LLM-based extraction pipelines; OAuth 2/OIDC, secrets management, and RBAC for AI tools and data access.
Proven ability to translate ambiguous business problems into shipped AI capabilities with measurable outcomes and to present strategy, risk, and tradeoffs to executives.
Track record of technical leadership, including mentoring, architecture reviews, standards ownership, or team leadership.

Technologies

Anthropic/OpenAI APIs, AWS Bedrock, Azure OpenAI
VEXIS, MCP (Model Context Protocol)
GitHub Actions, Langfuse, LangSmith, Arize Phoenix
MLflow, Weights & Biases
pgvector, Pinecone, Weaviate, Qdrant, OpenSearch
Azure Document Intelligence, AWS Textract, Google Document AI
OAuth 2.0/OIDC, Terraform, Cloudflare Workers, Lambda
PostgreSQL, SQL Server, MySQL
Python, TypeScript, REST, webhooks, event-driven architectures
AWS, Azure
HubSpot, Microsoft 365/Graph API, QuickBooks
LangGraph, LoRA, PEFT, vLLM, quantization

Benefits

401(k)
401(k) matching
Dental insurance
Flexible spending account
Health insurance
Health savings account
Paid time off
Retirement plan
Vision insurance

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12d ago

Front-End Senior Software Engineer

VizyPay Waukee, IA

Waukee, IA

12d ago

$100k - $130k/yr Full time Senior Angular API

Apply Now

Job Description

VizyPay offers an in-office opportunity in Waukee, Iowa for a Front-End Senior Software Engineer. This role centers on leading frontend architecture for multi-tenant, white-label platforms, with a focus on scalability, performance, and security while mentoring the engineering team. The position is onsite and offers a salary range of $100,000 to $130,000 per year.

Benefits

401(k)
401(k) matching
Dental insurance
Employee assistance program
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Parental leave
Professional development assistance
Retirement plan
Vision insurance

Responsibilities

Own the architecture, scalability, performance, and security of frontend applications, including the CRM, ensuring smooth integration with backend and platform services.
Define and lead frontend architecture for multi-tenant, white-label platforms, covering tenant theming, branding, configuration-driven UI, environment strategy, and safe tenant isolation.
Make architectural decisions to achieve high availability and fault tolerance for web frontends, including deployment strategies, graceful degradation, caching and CDN approaches, and monitoring.
Set and enforce frontend engineering standards across the team, addressing component architecture, state management, accessibility, testing, and design system governance.
Lead frontend solution design for integrations with core business systems and external platforms via APIs, webhooks, and event streams.
Apply secure frontend practices such as XSS/CSRF prevention, CSP configuration, and secure token and session handling; collaborate with Infrastructure and Security on threat modeling, logging, monitoring, and audit readiness.
Mentor engineers through code reviews, pairing, and design reviews while actively contributing as a hands-on individual contributor.
Monitor frontend performance using Core Web Vitals and real-user monitoring data; support incident resolution and perform architectural root cause analysis.
Evaluate new technologies and translate business and product requirements into designs aligned with long-term strategy.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent experience; a Master’s degree is a plus.
7+ years of software engineering experience with strong emphasis on frontend and web app development.
Expert-level Angular and TypeScript proficiency, including reactive programming with RxJS, NgRx state management, and Angular Signals.
Proven experience designing, architecting, and building frontend systems for multi-tenant, white-label platforms.
Experience designing highly available, fault-tolerant frontend systems that integrate with distributed microservice backends.
Strong API design and consumption skills, including REST, event-driven patterns, client-side data fetching and caching, and real-time UI patterns (WebSockets, polling).
Hands-on secure frontend coding practices (XSS/CSRF prevention, CSP configuration) and designs aligned with PCI DSS compliance.
Solid HTML5, CSS3, and responsive design capabilities, plus scalable CSS architecture (SCSS).
Experience with rendering and performance optimization, including Angular Universal SSR, hydration, code splitting, lazy loading, and Core Web Vitals tuning.
Automated frontend testing experience (Jest, Jasmine/Karma, Cypress, or Playwright) and experience building CI/CD pipelines with linting and quality gates.
Familiarity with modern build tooling (Webpack, Vite) and monorepo tooling (Nx).
Strong computer science fundamentals (data structures, algorithms, design patterns, SOLID) applied to large frontend codebases.
Excellent communication skills with the ability to explain complex concepts to both technical and non-technical stakeholders and influence across cross-functional teams.

Technologies

Angular, TypeScript, RxJS, NgRx, Angular Signals
HTML5, CSS3, SCSS, Angular Universal
WebSockets, Webpack, Vite, Nx
Jest, Jasmine/Karma, Cypress, Playwright
Node.js, NestJS, GraphQL
Docker, Kubernetes, Terraform
PostgreSQL, MySQL, MongoDB
Cloudflare, Datadog RUM, New Relic Browser
Storybook, Axe, Lighthouse, Figma
AWS, SCA tooling, RESTful services

Work Location

Onsite in Waukee, Iowa

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Engineer Jobs in Waukee, IA

AI Engineer

Front-End Senior Software Engineer

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