Senior Solutions Architect (AI/ML) (RapidScale) @ Cox Communications | Jobright.ai
JOBSarrow
RecommendedLiked
0
Applied
0
External
0
Senior Solutions Architect (AI/ML) (RapidScale) jobs in Raleigh, NC
73 applicants
company-logo

Cox Communications · 3 days ago

Senior Solutions Architect (AI/ML) (RapidScale)

ftfMaximize your interview chances
Communication HardwareInternet
check
Comp. & Benefits
check
H1B Sponsor Likelynote

Insider Connection @Cox Communications

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Represent the technical expertise of RapidScale and act to position RapidScale 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 AWS, Azure, and Google Cloud
Conduct workshops for GenAI 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 your deep experience with public cloud compute, database, and network solutions, especially as they relate to AI/ML managed services (i.e. Amazon Bedrock, SageMaker, Azure OpenAI, etc.)
Produce cost and labor estimates and SOWs for potential AI/ML projects
Collaborate and participate in the creation of technical collateral, documentation, pitch and presentation materials (e.g. SOWs, HLDs, Decks, Reference Architectures)
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 such as trade shows, panels or marketing events as well as publishing blog posts, white papers and participating in case studies

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AI/ML technologiesPre-Sales Solution ArchitectureAWSAzureGoogle CloudML data preparationModel developmentModel deploymentsPythonGenAIPublic cloud IaaSContainerizationIaC toolsNetworking fundamentalsCompute fundamentalsStorage fundamentalsOS fundamentalsLLMsRAGVector databasesConversational botsTensorFlowPyTorchCloud migrationsKubernetesDockerEKSECSPuppetAnsible

Required

A BA/BS Degree with 6+ years of experience, or a MS Degree with 4+ years of experience, or a Ph.D with one year of experience, or 10 years of overall experience without a degree
Must have Professional or Expert-Level certification on one or multiple major cloud platforms (AWS, Azure, Google Cloud)
Understanding of ML data preparation, model development, model deployments
Expertise in software development and/or software engineering experience (primarily Python)
Understanding of AWS, Azure, and/or Google Cloud Machine Learning Services
Understanding of GenAI, LLMs, RAG, vector databases and conversational bots
Understanding of machine learning frameworks (e.g. TensorFlow, PyTorch, etc.)
Understanding of one or more public cloud IaaS services with hands-on experience with cloud migrations, deployments, etc
Understanding of containerization & virtualization technologies; e.g Kubernetes, Docker, EKS, ECS, etc.
Understanding IaC tools; e.g. Puppet, Ansible, CloudFormation, Terraform
Expertise in networking, compute, storage and OS fundamentals

Preferred

AI or ML specialty certification (cloud agnostic)
Proficiency and/or willingness to pursue expertise across multiple clouds (AWS, Azure, Google)
Deep understanding of data storage paradigms (e.g. databases, data warehouses, data lakes, etc.)

Benefits

Flexibility to take as much vacation with pay as they deem consistent with their duties
Seven paid holidays throughout the calendar year
Up to 160 hours of paid wellness annually for their own wellness or that of family members
Additional paid time off in the form of bereavement leave
Time off to vote
Jury duty leave
Volunteer time off
Military leave
Parental leave
COVID-19 vaccination leave
Health care insurance (medical, dental, vision)
Retirement planning (401(k))
Paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO)

Company

Cox Communications

company-logo
Cox Communications operates as a multiservice broadband communications company in the United States. It is a sub-organization of Cox Enterprises.

H1B Sponsorship

Cox Communications has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (7)
2022 (40)
2021 (40)
2020 (28)

Funding

Current Stage
Late Stage
Total Funding
$505.34M
Key Investors
U.S. Department of the Treasury
2024-06-17Grant· $4.94M
2014-10-03Seed· $0.4M
2002-09-17Debt Financing· $500M

Leadership Team

leader-logo
Kristine Faulkner
Senior Vice President, Marketing Operations
linkedin
leader-logo
Andrew Goldberg
VP, Strategic Planning & Analysis
linkedin
Company data provided by crunchbase
logo

Orion

Your AI Copilot