Analytics and AI Solution Architect

Intel Corporation

Cloud Application Development Engineer driving cloud innovation at Intel. Designing and optimizing applications leveraging cloud platforms for impactful business solutions.

Posted 5/27/2026full-timePhoenix • Arizona, California, Oregon • 🇺🇸 United StatesSeniorLead💰 $188,330 - $265,870 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudJavaScriptNoSQLSparkSplunk

About the role

Key responsibilities & impact

Develop and implement cloud-native analytic applications and solutions using industry-leading cloud platforms such as Amazon Web Services, Google Cloud, and Azure
Design and coordinate cloud architecture across areas including application development, identity and access management, network and data management, and security
Define DevSecOps solutions and integrate them with cloud platforms, utilizing DevOps processes, automation, and target platforms
Build and design web services for cloud environments, orchestrating and automating cloud-based platforms
Develop responsive user interfaces utilizing HTML, JavaScript libraries, ensuring seamless performance across various form factors
Leverage data engineering expertise to build pipelines for structured and non-structured data and design databases using tools such as Databricks, Snowflake, NoSQL, and Vector databases in a Retrieval Augmented Generative AI architecture
Apply Lambda architecture, database design, and data modeling to support scalable and efficient cloud-based applications
Utilize agile methodologies to ensure disciplined execution, problem-solving, and adherence to Intel's core values
Collaborate with multidisciplinary teams to deliver AI/ML infrastructure solutions and big data cloud integrations, such as Spark and Splunk
Ensure robust information security practices in all facets of the development lifecycle

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Technology, or a related field
9+ years of relevant experience with a bachelor's degree or 6+ years with a master's degree, or 4+ years with a PhD
Proficiency in cloud platforms including AWS, Google Cloud, and Azure, as well as web service design and orchestration
At least 5 years of expertise in database engineering, data modeling, and cloud-based big data tools such as Databricks, Snowflake, NoSQL and Vector databases
At least 5 years of experience with Lambda architecture design and DevSecOps integration
Technical proficiency in developing user interfaces using HTML, JavaScript libraries, and AWS frameworks
Knowledge of agile methodology and disciplined execution processes

Benefits

Comp & perks

competitive pay
stock bonuses
health
retirement
vacation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

cloud-native applicationsDevSecOpsdata engineeringdatabase designdata modelingLambda architectureweb service designresponsive user interfacesautomationbig data tools

Soft Skills

problem-solvingcollaborationdisciplined executionadherence to core values