About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy. AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process. About the Role: As a Staff Engineer on the Developer Productivity - AI Developer Tools team, you will be the architectural anchor shaping the AI platform that accelerates engineering across Gusto. You will redefine how our entire engineering organization builds, tests, and ships software by architecting a highly secure, context-aware, "AI-native" development lifecycle. Your mission is to eliminate developer friction through AI tools, multi-agent systems, and intelligent automation. Whether you are building bespoke internal coding assistants, automating sprawling codebase refactors, or deploying AI to self-heal CI/CD pipelines, your work will directly multiply the velocity of hundreds of builders. Help us drive developer productivity by building the next generation of AI tools. About the Team: The AI Developer Tools team is a specialized team within Developer Productivity. We believe AI is the next great leap in software craftsmanship. Our goal is to provide every builder at Gusto with a suite of "superpowers" tools that deeply understand our codebase and absorb operational toil so engineers can focus on creative problem-solving. We treat our fellow engineers as our primary customers, prioritizing developer experiences that are not just powerful, but absolutely delightful to use. Here’s what you’ll do day-to-day: - Architect AI Core Infrastructure: Design, scale, and maintain the internal platform and APIs that integrate LLMs into the developer workflow, with a heavy focus on autonomous agents, custom retrieval-augmented generation (RAG), and smart context-delivery systems. - Drive Technical Leadership & Vision: Establish engineering best practices for building with AI at Gusto, including robust evaluation frameworks (evals), guardrails for code safety, and strategies for optimizing model latency and token spend. - Collaborate & Evangelize: Partner closely with product engineering teams to uncover systemic friction points, and collaborate with core Infrastructure and Security teams to ensure all AI tooling is scalable, compliant, and secure. - Optimize Feedback Loops: Identify and eliminate critical bottlenecks in the local-to-production lifecycle at scale across Gusto. - Maintain Enterprise Reliability: Treat AI infrastructure with production-grade rigor. Monitor system health, diagnose complex integration or networking issues, and mitigate model drift or downtime. Here’s what we're looking for: - 8+ Years of Systems Expertise: You are a seasoned engineer who is highly comfortable navigating massive, complex codebases and delivering production-grade, distributed software. - Production AI Experience: You have a proven track record of moving AI beyond prototypes. You possess a deep understanding of prompt engineering, fine-tuning, RAG architectures, and orchestrating multi-agent workflows. - Developer-First Mindset: You are passionate about Developer Experience and Productivity. You intuitively understand what makes an internal tool frictionless, fast, and empowering for other engineers. - Strategic Execution: You don't just build wrappers; you think deeply about data privacy, security, cost management, and systemic reliability when deploying AI solutions. - Exceptional Communication: You can seamlessly translate bleeding-edge AI capabilities into clear, actionable infrastructure strategies, mentoring junior engineers and aligning cross-functional stakeholders along the way. - Working as a Team: You work across team boundaries and bring other teams and groups along with you towards our strategic vision. Our cash compensation amount for this role is targeted at $180,000/yr to $200,000/yr in Denver & most remote locations, $220,000/yr to $245,000/yr for San Francisco, New York & Seattle. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

Role Description Estamos em busca de um(a) Arquiteto(a) de IA Pleno para atuar na concepção, desenvolvimento e implementação de soluções baseadas em Inteligência Artificial, com foco em IA Generativa, Machine Learning e integração de sistemas. Este profissional participará da definição e evolução de arquiteturas de IA, apoiando a construção de soluções escaláveis, seguras e alinhadas às necessidades do negócio. - Apoiar o desenho e a implementação de arquiteturas de soluções baseadas em Inteligência Artificial e IA Generativa. - Levantar e traduzir requisitos de negócio em soluções técnicas utilizando IA, automação e análise de dados. - Desenvolver e implementar soluções utilizando LLMs, RAG (Retrieval-Augmented Generation), agentes de IA e integrações com sistemas corporativos. - Construir e disponibilizar modelos e serviços de IA por meio de APIs e microsserviços. - Atuar na implementação de soluções em plataformas de IA em nuvem, garantindo desempenho, segurança e governança. - Participar da definição e implementação de arquiteturas de dados para aplicações de IA, incluindo Data Lakes, Data Warehouses e bancos vetoriais. - Apoiar a realização de provas de conceito (PoCs), testes técnicos e avaliações de novas tecnologias. - Aplicar boas práticas de desenvolvimento, governança, segurança e uso responsável da Inteligência Artificial. - Colaborar com equipes multidisciplinares de dados, desenvolvimento e negócios para garantir a integração adequada das soluções. - Apoiar o monitoramento, manutenção e evolução contínua das soluções implantadas utilizando práticas de MLOps. - Produzir documentação técnica, diagramas de arquitetura e especificações funcionais e técnicas. - Participar de reuniões técnicas com clientes e stakeholders para entendimento de necessidades e apresentação de soluções. Qualifications - Experiência em projetos de Inteligência Artificial, Machine Learning e/ou IA Generativa. - Conhecimento em LLMs (Large Language Models), Prompt Engineering, RAG e agentes de IA. - Experiência com plataformas de IA em nuvem, preferencialmente Microsoft Azure (Azure AI, Azure OpenAI, AI Foundry), AWS ou Google Cloud. - Conhecimento em arquitetura de integração, APIs REST e microsserviços. - Experiência com Python e SQL. - Conhecimento em bancos de dados relacionais, Data Lakes, Data Warehouses e bancos vetoriais. - Familiaridade com práticas de MLOps, DevOps, CI/CD e monitoramento de aplicações. - Conhecimento em governança, segurança da informação e privacidade de dados. - Capacidade de compreender requisitos de negócio e transformá-los em soluções técnicas. - Inglês técnico para leitura de documentação e pesquisa. Competências - Pensamento analítico e capacidade de resolução de problemas. - Visão sistêmica para compreender fluxos de dados e integrações complexas. - Boa comunicação verbal e escrita. - Facilidade para trabalhar em equipes multidisciplinares. - Perfil colaborativo e orientado ao compartilhamento de conhecimento. - Proatividade na identificação de melhorias e oportunidades de inovação. - Organização e capacidade de gerenciar múltiplas demandas. - Adaptabilidade frente à evolução constante das tecnologias de IA. - Foco em qualidade, segurança e entrega de valor ao negócio. Diferenciais - Experiência com Azure OpenAI, AI Foundry, Copilot Studio e Power Platform. - Certificações Microsoft, AWS ou Google relacionadas à IA, Dados ou Cloud. - Experiência em projetos de automação inteligente, análise de documentos ou assistentes virtuais. - Conhecimento em frameworks como TensorFlow, PyTorch, LangChain, Semantic Kernel ou similares. - Experiência em projetos na área de saúde, financeiro ou outros setores regulados. - Conhecimento em bancos vetoriais como Azure AI Search, Pinecone, Weaviate ou Chroma. - Participação em comunidades, eventos ou iniciativas relacionadas à Inteligência Artificial.

• Lead and oversee the AI team in designing, developing, and deploying AI and machine learning models and solutions. • Define and execute the AI strategy aligned with business goals and emerging industry trends. • Collaborate with cross-functional teams including data science, engineering, product management, and business units to identify AI-driven opportunities and deliver impactful solutions. • Manage AI projects ensuring timely delivery, quality, and alignment with organizational objectives. • Mentor and develop the AI team by fostering skills growth, collaboration, and innovative thinking. • Stay abreast of the latest AI research, tools, and methodologies and assess their applicability to business problems. • Communicate complex AI concepts clearly to non-technical stakeholders to facilitate informed decision-making. • Advocate best practices for AI ethics, data privacy, and security within the organization.

- Lead and mentor a cross-functional engineering team, fostering a culture of collaboration, innovation, and continuous improvement, with a strong focus on AI adoption. - Drive the design, implementation, and evolution of AI-powered solutions, particularly AI agents, to enhance software development workflows, developer productivity, and operational efficiency. - Act as a hands-on technical leader, actively contributing to system design, code reviews, and the development of AI-driven capabilities integrated into the platform. - Identify and prioritize high-impact opportunities to leverage AI across the software development lifecycle, including code generation, testing, debugging, incident analysis, and documentation. - Architect and implement scalable and secure systems that combine traditional backend engineering with AI components (e.g., LLM integrations, RAG pipelines, agent-based workflows). - Collaborate with product, engineering, and business stakeholders to define AI use cases aligned with company goals and deliver measurable impact. - Establish best practices for building, evaluating, and maintaining AI systems in production, including observability, performance, cost control, and reliability. - Drive the adoption of AI tools and practices across engineering teams, acting as a mentor and enabler for developers to effectively leverage AI in their daily work. - Ensure that AI implementations comply with security and regulatory requirements (e.g., PCI DSS, GDPR, DORA), especially in the context of sensitive financial data. - Mitigate technical risks related to both traditional systems and AI components, ensuring platform stability, resilience, and trustworthiness. - Contribute directly to the development of high-quality, high-performance software solutions, maintaining a strong hands-on involvement. - Diagnose and resolve complex issues in production environments, including those involving AI systems and agent-based workflows. - Drive technical decision-making, balancing innovation in AI with long-term scalability, maintainability, and business impact. - Drive technical decision-making, balancing long-term scalability with immediate business needs. - Foster a culture of innovation, collaboration, and accountability across technical teams.