Role Description O profissional é responsável por desenvolver e manter a arquitetura empresarial de uma organização, garantindo a integração, consistência e alinhamento dos sistemas de informação com os objetivos e estratégias da empresa. Ele analisa as necessidades do negócio, identifica soluções tecnológicas e define os padrões e diretrizes arquiteturais a serem seguidos. Além disso, realiza a gestão da mudança, facilitando a implementação das soluções propostas e avaliando os impactos nos processos e sistemas existentes. Possui conhecimentos técnicos avançados em TI e habilidades de comunicação e negociação, trabalhando em conjunto com as áreas de negócios, projetos e de TI da organização. Qualifications - Diploma de bacharelado ou Tecnólogo em Ciência da Computação, Sistemas de Informação, Engenharia de Computação, Engenharia de Telecomunicações ou áreas correlatas. - Mínimo de 6 anos de experiência, comprovado em carteira ou carta/declaração de empregador anterior, em ao menos duas das seguintes áreas de conhecimento: - Processos de Negócio - Framework TOGAF - Framework Zachman - Arquitetura de Aplicação - Arquitetura Tecnológica Requirements - Certified Data Management Professional (CDMP) da DAMA International. - Certified Information Management Professional (CIMP) da eLearningCurve. - Pós-graduação ou MBA em Gestão da Informação, Gestão de Dados, ou Governança de TI. Benefits - Ambiente Inovador: Aqui você trabalha com um time diverso e colaborativo, que valoriza o seu conhecimento e incentiva seu crescimento. - Desenvolvimento Contínuo: Oferecemos treinamentos, certificações e programas de capacitação para você evoluir sempre. - Impacto Real: Atuamos em projetos estratégicos que transformam empresas e entregam resultados concretos. - Cultura que acolhe: Valorizamos a diversidade como parte da nossa cultura e acreditamos que a inovação nasce das diferenças.

Role Description Codeworks, an LRS company, is seeking a Business Intel Architect for a Contract opportunity. Our client is seeking a Data & Reporting Analyst to support complex data and reporting efforts. This role partners with stakeholders to gather requirements, analyze data, and deliver accurate, compliant reports. The position plays a key role in transforming data into meaningful insights that support business and program needs. This is a 100% remote position, but the applicant must live in Wisconsin. - Develop, maintain, and analyze standard and ad hoc reports - Gather and document reporting requirements from stakeholders - Write and optimize queries using tools such as SQL or SAS - Validate report outputs to ensure accuracy and data integrity - Translate business and policy requirements into technical solutions - Support compliance with applicable regulations and standards - Create documentation, including data flows, requirements, and user guides - Assist with testing, troubleshooting, and implementation of reporting solutions - Collaborate with cross-functional teams and vendors - Provide status updates and support small to medium-sized projects Qualifications - Experience in data analysis, reporting, or business analysis - Proficiency with data tools and relational databases (e.g., SQL, SAS, Oracle, MS SQL) - Ability to gather, document, and validate requirements - Strong analytical, organizational, and problem-solving skills - Clear written and verbal communication skills - Experience working with reporting or data visualization tools (e.g., Power BI, Tableau, SSRS) - Familiarity with data concepts such as data warehousing, ETL, and data modeling Requirements - The base range for this contract position is $60.00-$70.00/hour per hour, depending on experience. - The range displayed reflects the minimum and maximum target for new hires of this position across all U.S. locations. - Individual pay is determined by work location and additional job-related factors. Company Description Codeworks, an LRS company, is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship, status or protected veteran status. In some cases, Codeworks, an LRS company, uses generative artificial intelligence (“AI”) in support of our hiring processes. Codeworks takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used in the hiring process solely in support of the assessment of candidate qualifications. All decisions in the hiring process are made by LRS employees. If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. Please contact AI.Questions@lrs.com with any questions.

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description Team Bio: ServiceNow's Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform. Our mission: We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission-critical challenges. By embedding in real-world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise. Why This Role Matters: Enterprise leaders aren't just experimenting with AI-they're demanding outcomes. The next wave of adoption will be led by those who can move fast, deliver measurable value, and transform 1-off wins into repeatable success. As a Forward Deployed Solution Architect (FDSA), you operate on the frontlines of that transformation. You embed with customers to uncover opportunities, architect AI-powered systems that drive ROI, and guide how those solutions scale across the Now Platform. This is a rare opportunity to serve as a Field Product Architect at the forefront of applied AI, helping define what great looks like for scalable enterprise innovation. Who You Are: You are a dynamic and innovative problem-solver who thrives in complex, fast-paced environments. With a strong analytical mindset and a passion for AI, you excel at transforming ambiguity into clarity. Your ability to synthesize data, workflows, and user motivations allows you to identify impactful solutions that align with customer needs and business objectives. You work seamlessly with software engineers, product designers, and stakeholders to deliver intelligent systems that address mission-critical challenges. You dive deep into complex environments to explore workflows, understand user friction, and surface the right inflection points for intelligent automation. You embody ServiceNow's values: - Customer First: You prioritize delivering value through business outcomes. - Bold Innovation: You challenge convention and seek simplicity through design. - One Team: You collaborate deeply across functions and build through shared ownership. - Integrity and Belonging: You build trust, foster inclusion, and lead with empathy. What You'll Do: - Lead Strategic Discovery: Identify high-impact AI opportunities by running hands-on workshops and aligning stakeholders. - Architect AI-Native Solutions: Design systems using LLMs, RAG pipelines, retrieval logic, and workflow orchestration. - Accelerate Delivery with Engineers: Collaborate closely with FDSEs to build, test, and iterate functional solutions quickly. - Codify Best Practices: Create repeatable frameworks, reusable templates, and modular components. - Drive Alignment: Influence customer and executive buy-in through clear storytelling and solution framing. - Advocate Field Insights: Capture feedback from deployments to shape product strategy and prioritize platform needs. - Enable Scale: Equip internal teams and customers to expand success through documentation and technical onboarding assets. What Success Looks Like: - Solution-Ready Build Delivered: You deliver a validated AI solution-ready build within 8-12 weeks that directly addresses a business-critical problem. - Widespread Reuse: Your assets-from prompts to orchestration logic-are leveraged by other teams and codified for scale. - Platform Evolution: Your work contributes to shaping the Now Platform through structured product feedback and architectural influence. - Business Transformation: The AI solution you've led results in measurable gains in efficiency, automation, adoption, or satisfaction. - Production Trajectory: Your delivered solution becomes the foundation for scaled production deployment across customer environments. - Trusted Field Partner: Customers and internal stakeholders see you as a strategic, dependable, and technically credible partner. Qualifications What You Bring: - Experience: In leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. - Enterprise Experience: 15+ years of overall experience, with 5-7+ years in enterprise AI/ML architecture, field engineering, or solution consulting. Proven ability to lead initiatives from conception to delivery over at least 3+ years. - Technical Mastery: Strong grasp of LLM-based systems and GenAI pipelines including prompt engineering, retrieval-augmented generation (RAG), orchestration, and data modeling. Experience designing full-stack intelligent workflows. - Cloud & Infrastructure Fluency: Deep hands-on experience with AWS, Azure, or GCP, including use of containers, infrastructure-as-code (Terraform, CloudFormation), and enterprise integration patterns. - Engineering Depth: Proficient in Python and SQL, with working knowledge of GenAI tooling frameworks like LangChain, Semantic Kernel, or similar. Ability to contribute to engineering discussions and code-level decisions. - Customer & Delivery Leadership: Comfortable operating in ambiguous, high-stakes environments. Experienced in guiding cross-functional technical teams, influencing executive stakeholders, and ensuring clarity from ideation to implementation. - Field Readiness: Willingness and ability to travel up to 30% to embed onsite with customers, lead workshops, unblock teams, and drive tangible solution outcomes. - Platform Affinity (Nice to Have): Familiarity with the ServiceNow platform, low-code tooling, or other enterprise SaaS ecosystems. Preferred Qualifications: - Prior work delivering AI or intelligent workflow solutions at scale. - Familiarity with LangChain, Semantic Kernel, vector DBs, and Python. - Experience with SaaS platforms, enterprise data integration, and low-code environments. - History of converting field delivery into reusable product patterns. - Proven success in deploying AI solutions that delivered tangible customer impact. - Hands-on experience integrating AI into enterprise SaaS platforms. - Skill translating real-world constraints into reusable internal tools or product enhancements. - Familiarity with AI governance, compliance, and enterprise security practices. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

• Guide clients on architecture design, integration, scalability, configuration management, DevSecOps, and other program initiatives as needed to drive technical success • Work with client enterprise architecture teams to design and deliver solutions that fit their unique needs and ecosystems • Guide implementation teams through complex technical solutions with Appian and tangential technologies • Ensure solutions are built for scale and performance • Integrate multi-tier architecture through integrations and system configuration • Evaluate emerging or incumbent technologies for value and fit in client or back-office implementations • Create and document implementation best practices as well as knowledge base articles for internal enablement • Provide thought leadership on process improvement • Support internal solutions, infrastructure, and tools • Mentorship, training, and enablement of resources