Analytics and AI Solution Architect

Overview & Impact As a Cloud Application Development Engineer, you will play a pivotal role in shaping Intel's innovative cloud solutions and driving cutting‑edge advancements in the industry. This role offers the opportunity to design, build, and optimize applications that leverage cloud platforms and frameworks to create impactful solutions for businesses worldwide. Your work will directly contribute to Intel's success in delivering scalable, secure, and high‑performance technologies that enhance user experiences across diverse platforms such as mobile and PC. If you are passionate about cloud‑native application development and thrive in a collaborative, fast‑paced environment, this role will empower you to make meaningful contributions and grow your expertise. Key Responsibilities 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. Qualifications Minimum Qualifications 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. Preferred Qualifications 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. Benefits 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. Annual Salary Range for jobs which could be performed in the US: $188,330.00–265,870.00USD. This range reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process. 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. Equal Employment Opportunity Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation or any other characteristic protected by local law, regulation, or ordinance. #J-18808-Ljbffr Intel Corporation