Analytics and AI Solution Architect

• Develop and implement cloud-native analitic 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 structure and non-structure 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., This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

• 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 leats 5 years of expertise in database engineering, data modeling, and cloud-based big data tools such as Databricks, Snowflake, NoSQL and Vector databases.
• At leats 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., * Demonstrated experience in AI/ML infrastructure solutions, agentic AI, and MCP.
• Strong communication skills and the ability to collaborate effectively with cross-functional teams.
• Proven ability to solve complex technical challenges and deliver innovative cloud-based solutions.

We encourage you to bring your expertise, creativity, and passion for cloud application development to Intel and join our team in driving technological innovation that shapes the future.

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel (https://intel.wd1.myworkdayjobs.com/External/page/1025c144664a100150b4b1665c750003) .

Annual Salary Range for jobs which could be performed in the US: $188,330.00-265,870.00 USD