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Artificial Intelligence Telecom Jobs in Michigan

Reply

IAM Software Engineer

Detroit, MI · On-site

$100K - $130K/yr

... operating in the telecom and media, industry and services, banking, insurance and public ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Reply

IAM Software Engineer

Detroit, MI

$100K - $130K/yr

... operating in the telecom and media, industry and services, banking, insurance and public ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Reply

IAM Software Engineer

Detroit, MI · On-site

$100K - $130K/yr

... operating in the telecom and media, industry and services, banking, insurance and public ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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Artificial Intelligence Telecom information

What is an artificial intelligence telecom professional?

An Artificial Intelligence Telecom professional is someone who applies AI and machine learning technologies to improve telecommunications systems and services. They work on optimizing network performance, automating customer support, detecting fraud, and enhancing user experiences through intelligent solutions. These professionals often collaborate with data scientists, network engineers, and software developers to build and deploy AI-driven tools that meet the evolving needs of telecom companies. Their expertise is crucial in enabling faster, smarter, and more reliable communications for consumers and businesses.

What are the key skills and qualifications needed to thrive as an artificial intelligence telecom professional?

To excel as an Artificial Intelligence Telecom professional, you need a solid background in computer science, telecommunications, and data analytics, often supported by a relevant bachelor’s or master’s degree. Familiarity with AI and machine learning frameworks (such as TensorFlow or PyTorch), telecom protocols, and cloud platforms (like AWS or Azure) is typically required, along with certifications in AI or telecommunications. Strong problem-solving abilities, teamwork, and effective communication help you collaborate with cross-functional teams and translate technical findings into business value. These skills are crucial for designing, implementing, and optimizing AI-driven telecom solutions that improve network performance and customer experience.

How does an artificial intelligence professional in the telecom industry typically collaborate with network engineers and data scientists?

In the telecom sector, AI professionals frequently work alongside network engineers and data scientists to develop, implement, and optimize intelligent network solutions. Collaboration often involves analyzing large datasets from network operations, designing machine learning models to predict outages or optimize traffic, and integrating these models into existing network management systems. Regular meetings, cross-functional project teams, and shared tools are common, ensuring that AI initiatives are aligned with technical requirements and business goals. This collaborative environment helps drive innovation while maintaining the reliability and efficiency of telecom networks.

What is the difference between Artificial Intelligence Telecom vs Data Scientist?

AspectArtificial Intelligence TelecomData Scientist
Required CredentialsBachelor's or master's in computer science, AI, or telecommunications; certifications in AI or networkingBachelor's or master's in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentTelecommunications companies, network providers, AI solution firmsTech companies, finance, healthcare, research institutions
Employer & Industry UsageFocuses on integrating AI into telecom infrastructure and servicesAnalyzes data to inform business decisions across industries

While both roles involve AI and data analysis, Artificial Intelligence Telecom specializes in applying AI within the telecommunications industry, focusing on network optimization and AI-driven telecom solutions. Data Scientists work across various sectors analyzing data to extract insights, making their scope broader but less industry-specific.

What is the role of artificial intelligence in telecom?

Artificial intelligence in telecom involves using machine learning and data analytics to optimize network performance, automate customer service, and enhance security. AI helps telecom companies improve service quality, reduce operational costs, and enable predictive maintenance of infrastructure. Professionals in this field often work with data modeling, programming, and network systems to implement AI solutions.

What are popular job titles related to Artificial Intelligence Telecom jobs in Michigan?

For Artificial Intelligence Telecom jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Telecom jobs in Michigan look for?

The top searched job categories for Artificial Intelligence Telecom jobs in Michigan are:

What cities in Michigan are hiring for Artificial Intelligence Telecom jobs?

Cities in Michigan with the most Artificial Intelligence Telecom job openings:

Artificial Intelligence Telecom jobs near you

IAM Software Engineer

Reply

Detroit, MI • On-site

$100K - $130K/yr

Full-time

Re-posted 21 days ago

Job description

Valorem Reply, part of the Reply Network, is a leader in security-focused digital transformation. We advise and support our clients across cloud security, identity, and automation - enabling them to operate securely and efficiently in a complex digital world.

As an IAM Software Engineer, you will help to drive the evolution of our enterprise identity ecosystem. In this role, you will design, build, and support scalable Identity and Access Management (IAM) solutions leveraging the Ping Identity Suite (PingFederate, Ping Directory, Ping Access and PingOne). As a key contributor within this IAM engineering team, you will modernize authentication journeys, automate authorization flows, and streamline secure access. Your work will help operate identity use cases with automation, resilience, and compliance in mind.

Responsibilities
  • Collaborate with infrastructure, cloud, and security teams to ensure reliable orchestration at scale
  • Implement and maintain Ping Identity solutions for seamless SSO, MFA, and adaptive authentication.
  • Develop and maintain authentication policies, selectors, and adapters to support complex user journeys.
  • Leverage PingOne DaVinci to orchestrate low-code identity workflows and integrate third-party security services.
  • Utilize Ping REST APIs and scripting (e.g., Python, Bash) to automate operational tasks, monitoring, and administrative functions.
  • Support Joiner-Mover-Leaver (JML) processes by integrating Ping stack components with upstream identity sources and downstream SPs.
  • Collaborate with App Owners and Security teams to migrate legacy applications to modern protocols (OIDC/OAuth 2.0/SAML2.0/SCIM).
  • Troubleshoot complex authentication issues, latent LDAP queries, and synchronization errors across the Ping ecosystem.
  • Create and maintain technical documentation, architecture diagrams, and automated operational run books.
Minimum Requirements
  • 3+ years' experience in software engineering, IAM engineering, or API platform architecture
  • Experience working in "No Code / Low Code" workflow development platform.
  • Hands-on experience with the Ping Identity platform, including PingFederate, PingAccess, PingDirectory, and/or PingOne
  • Knowledge of identity protocols including SAML, OAuth 2.0, OIDC
  • Proficiency in RESTful APIs, JSON, and Postman Tool.
  • Scripting ability in Bash, PowerShell, Python, or similar
Preferred Qualifications
  • Deep understanding of LDAP best practices, specifically with Ping Directory.
  • Experience in a DevOps environment, treating "Identity as Code" through configuration automation and CI/CD pipelines.
  • Strong working knowledge of JavaScript for custom business logic implementation
  • Advanced use of JSON for IAM related workflow payloads, REST API integrations, and event handling
  • Basic proficiency with HTML and CSS for custom UI, branding, and hosted page integration
  • Proven experience with Identity Orchestration and modernizing authentication flows (PingOne DaVinci experience is a plus).
  • Certifications in Ping Identity, or major IAM platforms

About Reply
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.

The base compensation range for this full-time position is between [$100,000 - $130,000] plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process.

Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at[email protected]. Visit our website atwww.reply.comto learn more about our open roles.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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