Lead AI Developer responsible for building production AI agents and raising AI engineering maturity across web, mobile, CMS, and MarTech platforms serving millions of retail energy customers.
Responsibilities
Drive maintenance of systems, creation of technical designs, development and deployment of front-end and/or back-end systems
Lead daily operational activities and measure process quality and compliance
Identify, evaluate, and implement automation and continuous improvement ideas supporting ITIL-aligned processes
Manage creation and implementation of solutions or enhancements to improve overall Vistra data architecture
Engage business users, process owners, architecture, and application teams to define and understand data needs
Design, build, and operate secure, scalable products that power our Compensation Collection, Shadow Payroll, and Equity offerings for the world’s most complex multinational employers.
Responsibilities
Build and evolve modern web experiences for Compensation Collection, Shadow Payroll, and Equity products using Next.js, React, and TypeScript
Design and implement backend services and APIs using C#, .NET, and WebAPI
Deliver Azure-native implementations of shadow payroll calculation engines, compensation aggregation pipelines, and equity tax event workflows
Contribute to system architecture and technical design for multi-country payroll, compensation, and equity domains
Own production readiness for your work including logging, monitoring and alerting, reconciliation tooling, incident response support, and operational documentation
Requirements
Bachelor’s degree in computer science, Engineering, or related field required
The Enterprise Architecture (EA) team works at the intersection of business and technology, shaping a unified view of the organization's capabilities, processes, data, applications, security, and overall technology landscape.
Responsibilities
Defining, supporting, and publishing Magna’s current- and future-state enterprise architecture across technology, processes, data, and security.
Embedding an AI‑first mindset into enterprise design and architectural decision-making.
Delivering actionable EA outputs in an agile, time-sensitive manner, ensuring alignment of initiatives with strategy, roadmaps, and the broader enterprise context.
Positioning EA as an internal management consultancy by providing services and expertise that support strategic decision-making and implementation.
Publishing Global IT’s enterprise reference architecture, including design guidelines and standards for target-state capabilities.
Requirements
University degree in Business Information Systems, Informatics, Business Administration, or a related discipline
Executes and improves the tooling, processes, and AI initiatives that govern how Zebra’s support knowledge performs across self-service and AI-driven support experiences, focusing on knowledge gap execution, AI performance monitoring, and prompt refinement.
Responsibilities
Implement, configure, and optimize knowledge and AI content tooling.
Independently monitor AI content performance signals—including retrieval gaps and answer quality.
Assess AI-generated responses for accuracy, grounding, and consistency.
Write, test, and refine prompts to improve how knowledge is surfaced.
Drive the knowledge gap strategy by conducting regular audits to identify outdated or underperforming content.
Requirements
Bachelor’s degree in Information Science, Information Management, Computer Science (AI/Data Science track), or a related field
Design, develop, deploy, and enhance AI-powered agents and automation solutions for the University of Washington’s campuses and global research operations.
Compensation
Pay Range Minimum: $87,624.00 annual
Pay Range Maximum: $142,392.00 annual
Responsibilities
Design and develop AI agents to improve performance and user outcomes
Architect and implement advanced RAG pipelines and embedding strategies
Automate repetitive administrative processes across departments
Integrate AI agents with enterprise systems via APIs and connectors
Build AI tools for researchers, including literature review and data analysis
Requirements
Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field
Nice to have: Experience in higher education or research institutions
Nice to have: nebulaONE or similar orchestration platforms
Analyzes, designs, develops, and maintains firmware / software for the organization’s products and systems, performing system integration, automated testing, and documentation.
Responsibilities
Analyzes, designs, develops, and maintains firmware / software for the organization’s products and systems
Performs system integration of software and hardware to maintain throughput and program consistency
Develops, validates, and tests firmware / software features
Creates user documentation for the tasks handled
Designs and develops automated tests on a variety of firmware functionalities
We are seeking a Senior Staff Software Engineer to advance the architectural evolution and technical direction of our platform. In this role, you will tackle high-ambiguity technical challenges, set the engineering vision, and pioneer AI-first development workflows to accelerate feature delivery and elevate software quality.
Compensation
$126,000.00 - $204,500.00/yr
Responsibilities
Drive End-to-End Feature Delivery: Take complete ownership of complex, end-to-end feature delivery by breaking down work, managing commitments, and systematically reducing cycle time and rework.
Lead AI-First Engineering Practices: Apply high AI tool fluency and prompt/context engineering to design AI-assisted workflows across the agentic SDLC. Rigorously evaluate AI-generated code to prevent hallucinations, security gaps, and logic defects.
Architect for Scale & Extensibility: Design clear system interfaces and extensible logic that minimize maintainer toil, gracefully handling performance, reliability, and scale trade-offs.
Practice Defensive & Secure Engineering: Enforce defensive coding practices across edge conditions, limits, and complex authorization paths to reduce defect escape rates.
Simplify Workflows & Enhance User Experience: Partner with PM and Design to translate product requirements into intuitive code, using prototypes and telemetry to simplify complex user flows and reduce friction.
Senior Software Engineer / AI Enterprise Systems Analyst leading AI-driven product development and integration at Zebra.
Compensation
$96,800.00 - $145,200.00 Annual
Responsibilities
Lead the design, architecture, and development of highly interactive, AI-first frontend systems and custom interfaces using modern frameworks backed by LLM capabilities
Architect and develop intelligent bots and reusable AI modules to ensure seamless alignment across complex databases and existing enterprise applications
Act as the technical anchor for an Agile Scrum team, leading architectural design sessions, establishing coding standards, and implementing AI-assisted developer workflows
Serve as the technical translator between engineering and business stakeholders, analyzing, evaluating, and communicating how modern AI tools can solve complex business problems
Provide confident, timely technical leadership during problem resolution and customer escalations
Requirements
Bachelor of Science degree in Computer Science, Software Engineering, or a related field; or equivalent of 3+ years of practical experience
Nice to have: Experience building autonomous agents or Agentic UI
Nice to have: Experience migrating or integrating legacy Java technologies (JSP, Servlets, Hibernate, JPA)
Nice to have: Experience with AWS and secure automated CI/CD pipelines (GitHub, Maven, SonarQube, Tenable)
AI Product Manager / PMONewFuku · Singapore, Singapore
Lead AI DeveloperNewVistra Corp · Irving, US