United Talent Agency
UTA seeks a Security Engineer to help build and strengthen our security operations programs-safeguarding our brand, our people, and our digital assets. In this role, you will design and implement security solutions across physical, virtual, and cloud environments. By leveraging your expertise in cybersecurity and knowledge of common attack vectors, you will enhance visibility, threat correlation, and incident response capabilities throughout our technology landscape. As a key contributor to our cloud first strategy, you will play a critical role in shaping and advancing our overall security posture. What You Will Do Investigate and contextualize security events from numerous data sources Help detect, respond to, and remediate security events and incidents Create automated data correlation and triage processes to reduce alert to fix time Develop remediation and orchestration efficiencies across the security stack, including endpoint, network, identity, and application Perform e discovery tasks in support of Legal and HR investigations Respond to user requests for security related issues and concerns Improve current visibility by configuring existing logging and alerting policies Evaluate and select additional tools and services Contribute to SIEM tuning for reliable alerting Perform vulnerability triage and assignment Engage in proactive threat hunting to identify risks not automatically captured by scans Have a meaningful and positive impact on the security of colleagues and clients Be challenged to identify, build, test, and deploy solutions in real life, not just in theory Be encouraged to innovate and take ownership Be given the opportunity to rapidly accelerate security, technology, and management skills Have the freedom to experiment with novel problem solving approaches Contribute to all security related initiatives-both tactical and strategic Be exposed to emerging security and business technologies Have access to best in class tooling and people Grow and learn on the job every day Serve as a subject matter expert on information security related escalations Maintain awareness of trends in various security domains Collaborate with other teams to improve security posture, risk remediation, and threat awareness What You Will Need Bachelor's degree in Cybersecurity, Engineering, or a related field; or equivalent experience 5+ years of experience in Security Engineering or Security Operations Experience with incident response, security event triage, investigations, forensics, and fluency with endpoint operating systems (Windows/Mac/Linux) and command line tools Experience with log analysis, event aggregation, security event data management, SIEM tuning, and Microsoft Sentinel Experience with security automation and orchestration and threat intelligence utilization Experience with e discovery tools and processes Experience responding to phishing, scam, and imposter campaigns Experience with endpoint security tooling and MDM solutions Network engineering, secure architecture, and network operations (firewalls, switches, etc.) Cloud infrastructure operations and architecture (Azure a plus) Identity management and authentication protocols Remediation strategies, system hardening, and vulnerability management Experience with enterprise information technology, including Active Directory/Azure AD, Exchange, Office 365, servers (Windows, SQL/DB, Linux, VM, Citrix, App, Web), device/asset management, and ServiceNow Experience with posture and threat management of third party SaaS platforms Technical understanding of enterprise EDR tools What You Will Get The unique and exciting opportunity to work at one of a leading global entertainment companies Access to the tools, leadership, and resources you will need to create and drive a center of excellence The opportunity to do the best work of your career Work in an inclusive and diverse company culture Competitive programs to support your well being Experience working in a collaborative environment with room to grow UTA and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers.
UTA seeks a Security Engineer to help build and strengthen our security operations programs-safeguarding our brand, our people, and our digital assets. In this role, you will design and implement security solutions across physical, virtual, and cloud environments. By leveraging your expertise in cybersecurity and knowledge of common attack vectors, you will enhance visibility, threat correlation, and incident response capabilities throughout our technology landscape. As a key contributor to our cloud first strategy, you will play a critical role in shaping and advancing our overall security posture. What You Will Do Investigate and contextualize security events from numerous data sources Help detect, respond to, and remediate security events and incidents Create automated data correlation and triage processes to reduce alert to fix time Develop remediation and orchestration efficiencies across the security stack, including endpoint, network, identity, and application Perform e discovery tasks in support of Legal and HR investigations Respond to user requests for security related issues and concerns Improve current visibility by configuring existing logging and alerting policies Evaluate and select additional tools and services Contribute to SIEM tuning for reliable alerting Perform vulnerability triage and assignment Engage in proactive threat hunting to identify risks not automatically captured by scans Have a meaningful and positive impact on the security of colleagues and clients Be challenged to identify, build, test, and deploy solutions in real life, not just in theory Be encouraged to innovate and take ownership Be given the opportunity to rapidly accelerate security, technology, and management skills Have the freedom to experiment with novel problem solving approaches Contribute to all security related initiatives-both tactical and strategic Be exposed to emerging security and business technologies Have access to best in class tooling and people Grow and learn on the job every day Serve as a subject matter expert on information security related escalations Maintain awareness of trends in various security domains Collaborate with other teams to improve security posture, risk remediation, and threat awareness What You Will Need Bachelor's degree in Cybersecurity, Engineering, or a related field; or equivalent experience 5+ years of experience in Security Engineering or Security Operations Experience with incident response, security event triage, investigations, forensics, and fluency with endpoint operating systems (Windows/Mac/Linux) and command line tools Experience with log analysis, event aggregation, security event data management, SIEM tuning, and Microsoft Sentinel Experience with security automation and orchestration and threat intelligence utilization Experience with e discovery tools and processes Experience responding to phishing, scam, and imposter campaigns Experience with endpoint security tooling and MDM solutions Network engineering, secure architecture, and network operations (firewalls, switches, etc.) Cloud infrastructure operations and architecture (Azure a plus) Identity management and authentication protocols Remediation strategies, system hardening, and vulnerability management Experience with enterprise information technology, including Active Directory/Azure AD, Exchange, Office 365, servers (Windows, SQL/DB, Linux, VM, Citrix, App, Web), device/asset management, and ServiceNow Experience with posture and threat management of third party SaaS platforms Technical understanding of enterprise EDR tools What You Will Get The unique and exciting opportunity to work at one of a leading global entertainment companies Access to the tools, leadership, and resources you will need to create and drive a center of excellence The opportunity to do the best work of your career Work in an inclusive and diverse company culture Competitive programs to support your well being Experience working in a collaborative environment with room to grow UTA and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers.
United Talent Agency
UTA seeks a Principal AI Engineer to lead the design, development, and delivery of intelligent software systems that bring together enterprise application architecture, full-stack engineering, data science, and machine learning. In this highly visible, hands on leadership role, you will build and scale production grade platforms and AI enabled products that power critical workflows, decision making, automation, and business insight across the organization. The ideal candidate combines deep software engineering expertise with strong applied AI and data science capability, and has a proven ability to mentor engineers, shape technical direction, and partner cross functionally to turn complex business problems into scalable, secure, and reliable solutions. What You Will Do AI Engineering, Data Science & Intelligent Product Development Lead the design, development, and deployment of machine learning, statistical, and AI driven solutions that support automation, prediction, decision making, and personalization. Own end to end delivery of AI enabled products and services, from problem framing and data exploration through model development, application integration, deployment, and monitoring. Evaluate and implement appropriate approaches across machine learning, analytics, and natural language processing based on business needs and technical constraints. Partner with data and platform teams to build robust pipelines, reusable services, and scalable environments that support production AI workloads. Platform Engineering & Enterprise Architecture Design and develop scalable, secure, cloud native applications and backend services that integrate AI, data, and business workflows into enterprise platforms. Lead end to end full stack engineering across backend services and modern web applications, including APIs, data models, service integrations, and internal tools. Architect systems using modern cloud patterns such as microservices, event driven design, and managed services, ensuring reliability, observability, and scalability. Provide architectural leadership across integrations with enterprise systems and third party platforms. ML Ops, Reliability & Engineering Best Practices Productionize AI and machine learning solutions using modern ML Ops and software engineering practices. Establish standards for testing, deployment, observability, drift detection, retraining, and documentation. Drive quality, automation, and performance in systems where accuracy, resilience, and reliability are critical. Leadership, Mentorship & Execution Serve as a hands on technical leader and player coach, mentoring engineers while actively contributing to design and implementation. Help define technical strategy and roadmap priorities for AI, data, and application development. Lead execution of complex, cross functional initiatives and act as a senior escalation point for technical decisions and trade offs. Foster a culture of engineering excellence, accountability, and continuous improvement. Collaboration & Business Partnership Partner with Product, Engineering, Data, and business stakeholders to identify high value opportunities where AI and software can materially improve outcomes. Translate ambiguous business needs into clear technical solutions, communicating trade offs and risks effectively. Present complex technical work in a clear, actionable way to both technical and non technical audiences, including leadership. What You Will Need Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience; advanced degree is a plus. 10+ years of experience in software engineering, applied machine learning, data science, or related fields, including building and delivering production systems end to end. Strong hands on expertise in modern software engineering, including backend development, APIs, and scalable system design. Experience with full stack development, including modern frontend frameworks and service based architectures. Proficiency in Python and SQL, with experience in data manipulation, model development, and analytical workflows. Hands on experience with machine learning frameworks such as scikit learn, TensorFlow, PyTorch, or similar. Strong experience with cloud platforms (AWS, Azure, or GCP) and building cloud native systems. Experience with modern data platforms such as Snowflake, BigQuery, or Databricks. Familiarity with Infrastructure as Code, microservices, and event driven architectures. Strong grounding in statistics, experimentation, and analytical methods. Experience deploying and maintaining production AI/ML systems, including monitoring and governance. Solid understanding of secure system design, data privacy, and enterprise engineering practices. Excellent communication skills with the ability to influence stakeholders at all levels. Proven experience mentoring engineers and leading through influence in a hands on environment. Experience in media, entertainment, or similarly fast paced industries is a plus. What You Will Get The unique and exciting opportunity to work at one of a leading global entertainment companies. Access to the tools, leadership, and resources you will need to create and drive a center of excellence. The opportunity to do the best work of your career. Work in an inclusive and diverse company culture. Competitive programs to support your well being. Experience working in a collaborative environment with room to grow. UTA and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers.
UTA seeks a Principal AI Engineer to lead the design, development, and delivery of intelligent software systems that bring together enterprise application architecture, full-stack engineering, data science, and machine learning. In this highly visible, hands on leadership role, you will build and scale production grade platforms and AI enabled products that power critical workflows, decision making, automation, and business insight across the organization. The ideal candidate combines deep software engineering expertise with strong applied AI and data science capability, and has a proven ability to mentor engineers, shape technical direction, and partner cross functionally to turn complex business problems into scalable, secure, and reliable solutions. What You Will Do AI Engineering, Data Science & Intelligent Product Development Lead the design, development, and deployment of machine learning, statistical, and AI driven solutions that support automation, prediction, decision making, and personalization. Own end to end delivery of AI enabled products and services, from problem framing and data exploration through model development, application integration, deployment, and monitoring. Evaluate and implement appropriate approaches across machine learning, analytics, and natural language processing based on business needs and technical constraints. Partner with data and platform teams to build robust pipelines, reusable services, and scalable environments that support production AI workloads. Platform Engineering & Enterprise Architecture Design and develop scalable, secure, cloud native applications and backend services that integrate AI, data, and business workflows into enterprise platforms. Lead end to end full stack engineering across backend services and modern web applications, including APIs, data models, service integrations, and internal tools. Architect systems using modern cloud patterns such as microservices, event driven design, and managed services, ensuring reliability, observability, and scalability. Provide architectural leadership across integrations with enterprise systems and third party platforms. ML Ops, Reliability & Engineering Best Practices Productionize AI and machine learning solutions using modern ML Ops and software engineering practices. Establish standards for testing, deployment, observability, drift detection, retraining, and documentation. Drive quality, automation, and performance in systems where accuracy, resilience, and reliability are critical. Leadership, Mentorship & Execution Serve as a hands on technical leader and player coach, mentoring engineers while actively contributing to design and implementation. Help define technical strategy and roadmap priorities for AI, data, and application development. Lead execution of complex, cross functional initiatives and act as a senior escalation point for technical decisions and trade offs. Foster a culture of engineering excellence, accountability, and continuous improvement. Collaboration & Business Partnership Partner with Product, Engineering, Data, and business stakeholders to identify high value opportunities where AI and software can materially improve outcomes. Translate ambiguous business needs into clear technical solutions, communicating trade offs and risks effectively. Present complex technical work in a clear, actionable way to both technical and non technical audiences, including leadership. What You Will Need Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience; advanced degree is a plus. 10+ years of experience in software engineering, applied machine learning, data science, or related fields, including building and delivering production systems end to end. Strong hands on expertise in modern software engineering, including backend development, APIs, and scalable system design. Experience with full stack development, including modern frontend frameworks and service based architectures. Proficiency in Python and SQL, with experience in data manipulation, model development, and analytical workflows. Hands on experience with machine learning frameworks such as scikit learn, TensorFlow, PyTorch, or similar. Strong experience with cloud platforms (AWS, Azure, or GCP) and building cloud native systems. Experience with modern data platforms such as Snowflake, BigQuery, or Databricks. Familiarity with Infrastructure as Code, microservices, and event driven architectures. Strong grounding in statistics, experimentation, and analytical methods. Experience deploying and maintaining production AI/ML systems, including monitoring and governance. Solid understanding of secure system design, data privacy, and enterprise engineering practices. Excellent communication skills with the ability to influence stakeholders at all levels. Proven experience mentoring engineers and leading through influence in a hands on environment. Experience in media, entertainment, or similarly fast paced industries is a plus. What You Will Get The unique and exciting opportunity to work at one of a leading global entertainment companies. Access to the tools, leadership, and resources you will need to create and drive a center of excellence. The opportunity to do the best work of your career. Work in an inclusive and diverse company culture. Competitive programs to support your well being. Experience working in a collaborative environment with room to grow. UTA and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers.