Analytics and AI Solution Architect
Core
Design, build, and optimize cloud-native analytic applications and AI/ML infrastructure solutions for scalable, secure, high-performance technologies.
Role type
Senior Cloud Application Development Engineer (Analytics & AI)
Builds
Cloud-native analytic applications, AI/ML infrastructure, web services, and data pipelines for diverse platforms (mobile, PC).
Domain
Cloud computing, Data Engineering, Generative AI, Big Data
Deliverable
production ML models | product features | infrastructure
Required skills
Cloud platform design (AWS, GCP, Azure), DevSecOps integration, Lambda architecture, Database engineering (Databricks, Snowflake, NoSQL, Vector DBs), Web service orchestration, UI development (HTML, JavaScript)
Preferred skills
Agile methodologies, Multidisciplinary collaboration, Information security practices
Technologies
AWS, Google Cloud, Azure, Databricks, Snowflake, NoSQL, Vector databases, Spark, Splunk, HTML, JavaScript
Responsibilities
Develop cloud-native analytic applications; Design cloud architecture covering identity, network, and data management; Define and integrate DevSecOps solutions; Build web services and orchestrate cloud platforms; Develop responsive user interfaces; Build data pipelines for structured and unstructured data; Apply Lambda architecture and data modeling; Collaborate on AI/ML infrastructure and big data integrations; Ensure information security in the development lifecycle.
Seniority
Senior, hands-on IC
