- Specialize in Engineering Leadership of teams, this includes: setting up (hiring/building out) and managing engineering groups to address AI/ML, Cloud, Big Data Platforms - Hands-on expertise at transforming and leading Data Science and Applied Machine Learning teams with AI Platform vision and road-map ownership, aligning Generative AI initiatives and Large Language Model Platform capabilities - Establish and expand the Enterprise Architecture function in the org and establish KPIs, OKRs and best-practice guardrails and standards for software development - Expertise in Leading workload migrations from On-prem to Cloud, Multi-Cloud and Hybrid scenarios, Monolith-to-Microservices transition and Cloud Native rearchitecture - Expertise in evolutionary architecture with long-term product vision and ownership - From MVP to V1 and beyond including DevOps, Monitoring, Security, QA practices to adapt to Cloud and Microservices paradigm - Skilled in communicating Complex Technical concepts with C-Level execs. and Business Requirements with Engineers - Act as a Change agent by driving Innovation and rebuild initiatives Keywords: - #Cloud Native, #Microservices, #MLOps, #MachineLearning, Generative AI, Large Language Models, Data Science, Agile Leadership, Innovation REST APIs, Software Architecture, Enterprise Architecture, Cloud Computing - Amazon Web Services (#AWS) Lambda, EMR, S3, DynamoDB, Kinesis, RDS, RedShift, Google Cloud Platform (#GCP) Cloud Functions, Dataproc, BigQuery, BigTable, Spanner, etc. Other: - US Citizen with global profile