Telecom Enterprise Architect

5 days ago

Dallas, United States Incedo Inc. Full time

Telecom Enterprise Architect

New Jersey, Dallas, TX or Tampa, FL (Hybrid)

Full Time


Responsibilities

  • Enterprise Technology: Apply in-depth knowledge of enterprise technology trends, standards, and best practices.
  • GenAI and AI: Explore and integrate GenAI and AI technologies into enterprise solutions to enhance performance, efficiency, and customer experience.
  • Multi Agent Architecture: Design, develop, and implement innovative solutions leveraging Multi Agent Architecture principles.
  • Network Systems: Demonstrate expertise in network systems, including infrastructure, protocols, and security.
  • Solution Architecture: Architect end-to-end solutions for complex enterprise workflows, leveraging GenAI and AI to drive innovation and efficiency.
  • Technical Leadership: Provide technical guidance and mentorship to team members.
  • Thought Leadership: Contribute to thought leadership initiatives, sharing insights and expertise on emerging technologies like GenAI and AI.
  • Communication: Effectively communicate complex technical concepts to both technical and non-technical stakeholders.


Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 10+ years of experience in software architecture and development.
  • Proven experience with Multi Agent Architecture.
  • Strong understanding of network systems and protocols (e.g., TCP/IP, HTTP, DNS).
  • Deep knowledge of enterprise technology landscapes and industry trends.
  • Experience in architecting and implementing end-to-end solutions.
  • Understanding of GenAI and AI technologies and their potential applications in enterprise settings.
  • Excellent written and verbal communication skills.
  • Ability to work independently and as part of a team.
  • Passion for thought leadership and a desire to contribute to industry discussions.


Core Technical Skills:

  • GenAI and AI: Understanding of generative AI models (e.g., GPT-4, Stable Diffusion), machine learning algorithms, and AI frameworks (TensorFlow, PyTorch).
  • Multi-Agent Systems: Knowledge of MAA concepts, frameworks, and tools (e.g., AutoGen, Crew.ai, LangGraph).
  • Telecom-Specific Technologies: Experience with telecom-specific technologies like SDN, NFV, and IoT.
  • Enterprise Technology: Expertise in enterprise architecture frameworks (e.g., TOGAF, Zachman), cloud platforms (AWS, Azure, GCP), virtualization, and containerization technologies (Docker, Kubernetes).
  • Programming Languages: Proficiency in at least one programming language (preferably Python) for scripting, automation, or prototyping.
  • Data Management: Knowledge of database technologies (SQL, NoSQL, Graph), data warehousing, and data analytics tools.
  • DevOps: Familiarity with DevOps practices, tools, and CI/CD pipelines (Git, Jenkins, Ansible, Terraform)


Preferred Qualifications

  • Master's degree in Computer Science, Engineering, or a related field.
  • Certifications in relevant technologies or frameworks (e.g., TOGAF, ITIL).
  • Experience with cloud platforms (e.g., AWS, Azure, GCP).
  • Knowledge of DevOps practices and tools.
  • Experience in the Telecom industry (preferred).


Regards,

Manvendra Singh

manvendra.singh1@incedoinc.com

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