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Senior Solutions Architect

2 months ago

Raleigh, North Carolina, United States Cox Communications Full time
About the Role

We are seeking a highly skilled and experienced Solutions Architect with a strong focus on Artificial Intelligence and Machine Learning technologies to join our dynamic team at Cox Communications.

Key Responsibilities
  • Represent the technical expertise of Cox Communications and position the company as a trusted AI/ML advisor to customers in the sales process.
  • Conduct full technical discovery and assessment workshops to identify pain points and gather business and technical requirements from prospective customers who are interested in building custom AI/ML applications and solutions on cloud platforms.
  • Conduct workshops for General AI and conversational AI use case development, data strategy, and machine learning model development & operations.
  • Consult with prospects and architect solutions on public cloud platforms, leveraging deep experience with public cloud compute, database, and network solutions, especially as they relate to AI/ML managed services.
  • Produce cost and labor estimates and Statements of Work for potential AI/ML projects.
  • Collaborate and participate in the creation of technical collateral, documentation, pitch and presentation materials.
  • Provide technical training sessions and workshops for Sales and Go to Market staff.
  • Clearly document and communicate proposed architectures to implementation teams during and after the pre-sales cycle to validate and verify project success.
  • Interface with the Product team and provide feedback for improving product quality and capabilities by leveraging information gathered in field engagements.
  • Provide thought leadership by speaking at industry events and publishing technical content.
Qualifications
  • Minimum of 6+ years of experience in a related field, or a Master's Degree with 4+ years of experience, or a Ph.D. with 1 year of experience, or 10 years of overall experience without a degree.
  • Professional or Expert-Level certification on one or multiple major cloud platforms.
  • Understanding of ML data preparation, model development, and model deployments.
  • Expertise in software development and/or software engineering experience, primarily in Python.
  • Understanding of cloud-based Machine Learning Services.
  • Understanding of General AI, Large Language Models, Retrieval-Augmented Generation, vector databases, and conversational bots.
  • Understanding of machine learning frameworks, such as TensorFlow and PyTorch.
  • Understanding of public cloud IaaS services and hands-on experience with cloud migrations and deployments.
  • Understanding of containerization and virtualization technologies, such as Kubernetes and Docker.
  • Understanding of Infrastructure as Code tools, such as Puppet, Ansible, CloudFormation, and Terraform.
  • Expertise in networking, compute, storage, and OS fundamentals.
Preferred Qualifications
  • AI or ML specialty certification.
  • Proficiency and/or willingness to pursue expertise across multiple clouds.
  • Deep understanding of data storage paradigms, such as databases, data warehouses, and data lakes.
Compensation and Benefits

The salary range for this role is $123,600.00 - $185,000.00 per year, with an annual incentive/commission target of $52,800.00. Additionally, Cox Communications offers a comprehensive benefits package, including health care insurance, retirement planning, and paid time off.