RP Tech Services | Red Paladin (site:apps.apple.com) jobs in UKG

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Expertise in Prompt Engineering: Skilled in crafting, refining, and optimizing prompts to enhance AI model performance, ensuring accurate, context-aware, and efficient generative outputs. Model Development and Fine-Tuning: Basic understanding of training, fine-tuning of large language models. Ethical AI and Responsible Deployment: Knowledgeable in AI governance, bias mitigation, and responsible AI principles to ensure ethical and compliant use of generative AI technologies. Bonus if You Have (or Want to Learn): Experience working alongside data scientists or ML engineers. Exposure to AI/ML platforms or frameworks (e.g., LangChain, Google Agent Builder, Google ADK, CopilotKit, Google AgentSpace). Familiarity with MLOps, CI/CD, observability, and secure model deployment. 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Partner with DevSecOps, Security Architecture, Security Engineering, and GRC teams to align on enterprise risk and compliance goals. Mentor vulnerability analysts or engineers, while scaling the vulnerability management function through automation and self-service where possible. 7+ years of cybersecurity experience with deep knowledge of vulnerability management in SaaS or tech-native environments. Expertise in both application and infrastructure vulnerabilities, including hands-on familiarity with OWASP Top 10, CVEs, insecure cloud configurations, container risks, and supply chain vulnerabilities. Solid understanding of modern software development practices, CI/CD pipelines, micro services, and cloud-native infrastructure (GCP, AWS, Kubernetes, Terraform, etc.). Demonstrated experience working closely with large engineering organizations and influencing security culture in a fast-paced dev environment. Experience managing security tools and integrating them into automated engineering workflows. Previous experience in a SaaS company with a multi-cloud or cloud-native environment. Security certifications such as CISSP, CSSLP, or cloud-specific certs (e.g., AWS Security Specialty). Experience with vulnerability correlation, risk scoring models, or threat-based prioritization approaches. 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Translate research and architectural prototypes into robust, production-ready systems that serve real customer use cases at scale. Collaborate closely with AI architects, research scientists, product managers, and other engineering leaders to ensure alignment between long-term vision and near-term deliverables. Engineering Execution: Lead the end-to-end delivery lifecycle of complex, AI-powered software systems--from roadmap definition through design, development, deployment, and maintenance. Establish and enforce strong engineering practices, including CI/CD, observability, code quality, technical design reviews, and security best practices. Drive platformization and reuse by building core AI infrastructure and services that are extensible, efficient, and easy to adopt by downstream teams. Build, scale, and mentor a high-performing, diverse engineering team with deep expertise in distributed systems, AI/ML, and platform development. Develop leaders within your team and foster a culture of innovation, inclusion, psychological safety, and accountability. Create clarity and alignment across geographically distributed teams through crisp communication, strong planning, and effective execution. Keep pace with the fast-moving AI landscape, proactively evaluating new technologies, tools, and techniques that could benefit the platform and our customers. Encourage a mindset of continuous learning and technical curiosity within the team, staying connected to external communities and advancing our internal thought leadership. Represent the company's AI engineering excellence in external forums (e.g., tech talks, publications, open-source contributions) as appropriate. 12+ years of experience in software development, with at least 5 years focused on AI/ML or GenAI systems. 8+ years of experience managing high-performing engineering teams, including at least 2 years at the Director level or equivalent. Proven track record of delivering large-scale, production-ready AI or ML infrastructure, platforms, or applications in a cloud-native environment. Deep expertise in distributed systems, modern software architectures, and frameworks for AI/ML (e.g., PyTorch, TensorFlow, LangChain). Strong communication skills with the ability to inspire teams, influence technical strategy, and engage with executive stakeholders. Bachelor's or Master's degree in Computer Science or related technical field (PhD preferred but not required). Experience with large language models, multi-modal architectures, or retrieval-augmented generation (RAG) systems. Familiarity with MLOps practices and tools, including model lifecycle management, monitoring, and governance. Hands-on experience with cloud AI platforms such as AWS SageMaker, Azure ML, or Google Vertex AI. Passion for building inclusive, psychologically safe teams that deliver innovative and ethically responsible AI solutions. A track record of collaborating across organizations to drive alignment, prioritize platform investments, and deliver business value. Batir, faire evoluer et encadrer une equipe d'ingenieurs performante et diversifiee dotee d'une expertise approfondie dans les systemes distribues, l'IA/ML et le developpement de plateformes. Developpez des leaders au sein de votre equipe et encouragez une culture d'innovation, d'inclusion, de securite psychologique et de responsabilite. Creez de la clarte et de l'alignement au sein d'equipes geographiquement dispersees grace a une communication claire, une planification solide et une execution efficace. Influence interfonctionnelle Collaborez avec les equipes de gestion de produits, d'architecture, de science des donnees, de recherche et de conception pour fa\u00e7onner la strategie, etablir les priorites et obtenir des resultats cles. S'engager directement avec les intervenants internes, la direction executive et occasionnellement les clients pour representer les capacites, l'orientation et l'impact de la plateforme. Agir en tant que champion de l'IA responsable, en travaillant avec les equipes internes chargees des politiques, du droit et de la securite pour s'assurer que nos systemes sont fiables et conformes. Suivez le rythme de l'evolution rapide du paysage de l'IA, en evaluant de maniere proactive les nouvelles technologies, outils et techniques qui pourraient beneficier a la plateforme et a nos clients. Encourager un etat d'esprit d'apprentissage continu et de curiosite technique au sein de l'equipe, en restant connecte aux communautes externes et en faisant progresser notre leadership eclaire interne. Representer l'excellence de l'entreprise en matiere d'ingenierie IA dans des forums externes (par exemple, des conferences techniques, des publications, des contributions open source), le cas echeant. Plus de 12 ans d'experience dans le developpement de logiciels, dont au moins 5 ans axes sur les systemes AI/ML ou GenAI. Plus de 8 ans d'experience dans la gestion d'equipes d'ingenierie hautement performantes, dont au moins 2 ans au niveau de directeur ou equivalent. Experience averee dans la fourniture d'infrastructures, de plateformes ou d'applications d'IA ou de ML a grande echelle et pretes pour la production dans un environnement infonuagique natif. Expertise approfondie des systemes distribues, des architectures logicielles modernes et des cadres pour l'IA/ML (par exemple, PyTorch, TensorFlow, LangChain). Solides competences en communication avec la capacite d'inspirer les equipes, d'influencer la strategie technique et d'interagir avec les parties prenantes executives. Baccalaureat ou maitrise en informatique ou dans un domaine technique connexe (doctorat prefere mais non obligatoire). Experience avec de grands modeles linguistiques, des architectures multimodales ou des systemes de generation augmentee de recuperation (RAG). Familiarite avec les pratiques et outils MLOps, y compris la gestion du cycle de vie des modeles, la surveillance et la gouvernance. Experience pratique avec les plateformes d'IA infonuagique comme AWS SageMaker, Azure ML ou Google Vertex AI. Passion pour la creation d'equipes inclusives et psychologiquement sures qui fournissent des solutions d'IA novatrices et ethiquement responsables. Un historique de collaboration entre les organisations pour favoriser l'alignement, hierarchiser les investissements de la plateforme et offrir de la valeur commerciale. Notre destination UKG s'apprete a vivre quelque chose de vraiment special. \u00c0 l'echelle mondiale, nous nous classons deja au premier rang pour la gestion des ressources humaines et au deuxieme rang pour la gestion du capital humain. Des dizaines de millions de personnes travaillant en premiere ligne commencent et terminent leur journee avec notre logiciel, et des milliards de quarts de travail sont geres chaque annee par le biais des solutions UKG aujourd'hui. Pourtant, c'est notre portefeuille de produits alimentes par l'IA et con\u00e7us pour soutenir la clientele de toutes tailles, de tous secteurs et de toutes zones geographiques qui nous propulsera vers des lendemains encore plus radieux! Employeur souscrivant au principe de l'egalite d'acces a l'emploi UKG est fier d'etre un employeur souscrivant au principe de l'egalite d'acces a l'emploi et s'engage a maintenir un milieu de travail diversifie et inclusif. Tous les candidats qualifies seront pris en consideration pour un emploi sans egard a la race, a la couleur, a la religion, au sexe, a l'age, au handicap, a l'etat matrimonial, a la situation familiale, a l'orientation sexuelle, a la grossesse, a l'information genetique, a l'identite de genre, a l'expression de genre, a l'origine nationale, a l'ascendance, au statut de citoyen, au statut d'ancien combattant et a tout autre statut protege par les lois federales, provinciales ou locales contre la discrimination. Accommodement aux handicaps UKG s'engage a fournir un accommodement aux personnes handicapees durant le processus de candidature et d'entrevue. Si vous avez besoin d'un accommodement durant le processus de candidature et d'entrevue, veuillez communiquer avec nous a UKGCareers@ukg.com. Candidats du Quebec: Bien que le fran\u00e7ais soit exige pour les postes au Quebec, l'utilisation de l'anglais est egalement requise en raison de la nature mondiale de l'entreprise et de ses affaires, de meme que de la necessite d'interagir avec les employes ou les partenaires du siege americain d'UKG et de ses bureaux internationaux. Partner with product management, architecture, data science, research, and design teams to shape strategy, define priorities, and deliver on key outcomes. Engage directly with internal stakeholders, executive leadership, and occasionally customers to represent the platform's capabilities, direction, and impact. Act as a champion for responsible AI, working with internal policy, legal, and security teams to ensure our systems are trustworthy and compliant. Definir et posseder la vision technique et la strategie de notre plateforme d'IA, en mettant l'accent sur la mise en place de capacites GenAI evolutives, responsables et performantes sur plusieurs gammes de produits. Traduire les prototypes de recherche et d'architecture en systemes robustes et prets pour la production qui repondent aux cas d'utilisation reels des clients a grande echelle. Collaborer etroitement avec les architectes d'IA, les chercheurs scientifiques, les chefs de produits et d'autres responsables de l'ingenierie pour assurer l'alignement entre la vision a long terme et les livrables a court terme. Execution de l'ingenierie Diriger le cycle de livraison de bout en bout de systemes logiciels complexes bases sur l'IA, de la definition de la feuille de route a la conception, au developpement, au deploiement et a la maintenance. \u00c9tablir et appliquer de solides pratiques d'ingenierie, notamment CI/CD, l'observabilite, la qualite du code, les revues de conception technique et les meilleures pratiques de securite. Favorisez la plateformisation et la reutilisation en creant une infrastructure et des services d'IA de base extensibles, efficaces et faciles a adopter par les equipes en aval.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://apply.ukg.com/careers/job/893381888477", "isPrivate": false, "latlongs": "45.5018869,-73.56739189999999"}, {"id": 893381159232, "name": "Architect", "location": "Pune City,India", "locations": ["Pune City,India"], "hot": 0, "department": "Software & Product Development", "business_unit": "Software & Product Development", "t_update": 1752958068, "t_create": 1742960776, "ats_job_id": "c55d0d1d-a00c-401f-ac85-3e8038ae46ab", "display_job_id": "ARCHI012526", "type": "ATS", "id_locale": "ARCHI012526-en", "job_description": "Manage and deliver new architectural transformational designs, identify architecture risks, and maintain architectural opportunities and risk assessment for all stakeholders. Contribute to the technical leadership for Product Architecture group to help other software architects envision, develop, and foster the adoption of new architectural transformational designs and implementations. 14+ years of Software Development experience and 5+ years of Software Architecture experience as well as 5+ years of technical leadership and architecture experience in software and cloud development (ideally in SaaS) 5+ years' experience designing and delivering large scale distributed systems in a multi-tenant SaaS environment 5+ years' experience building, managing, and leading architects and technical leads Expert understanding of security, reliability, scalability, high availability, and concurrency architectural patterns and solutions. Expert in solution design across the full technology stack, including for public and hybrid cloud deployments. 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Contribute to the technical leadership for Product Architecture group to help other software architects envision, develop, and foster the adoption of new architectural transformational designs and implementations. 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Work with the DevSecOps team to integrate vulnerability detection into CI/CD pipelines and development workflows, enabling shift-left security without friction. Collaborate with thousands of engineers across multiple teams to contextualize and prioritize vulnerabilities based on business impact and threat intelligence. Good understanding of the vulnerability management tool stack, including SAST, DAST, container scanning, dependency scanning, and infrastructure scanning tools (e.g., Checkmarx One, Rapid7, Wiz, etc.). Drive remediation SLAs and reporting in coordination with Product and Engineering leadership. Design and deliver clear, actionable dashboards and reports for engineers, executives, and risk/compliance stakeholders. Partner with DevSecOps, Security Architecture, Security Engineering, and GRC teams to align on enterprise risk and compliance goals. Mentor a small team of vulnerability analysts or engineers, while scaling the function through automation and self-service where possible. 7-10 years of cybersecurity experience with deep knowledge of vulnerability management in SaaS or tech-native environments. Expertise in both application and infrastructure vulnerabilities, including hands-on familiarity with OWASP Top 10, CVEs, insecure cloud configurations, container risks, and supply chain vulnerabilities. Solid understanding of modern software development practices, CI/CD pipelines, microservices, and cloud-native infrastructure (GCP, AWS, Kubernetes, Terraform, etc.). Demonstrated experience working closely with large engineering organizations and influencing security culture in a fast-paced dev environment. Experience managing security tools and integrating them into automated engineering workflows. Strong analytical, communication, and project management skills. 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