• Design scalable architectures for machine learning platforms, AI services, and data processing pipelines. • Define system-level architectures that integrate machine learning models into distributed production systems. • Ensure high availability, scalability, and performance of ML-powered applications. • Architect end-to-end ML pipelines including data ingestion, feature engineering, training workflows, model serving, and monitoring. • Design ML infrastructure capable of supporting experimentation, training, and large-scale inference. • Guide teams in implementing modern MLOps practices across projects. • Provide architectural leadership to engineering teams implementing ML-enabled systems. • Establish best practices for system design, model integration, observability, and reliability. • Conduct architecture reviews and mentor engineers on building scalable ML-driven software systems. • Work closely with ML engineers, backend engineers, data engineers, and DevOps teams to design cohesive AI solutions. • Partner with client stakeholders to translate complex business requirements into scalable technical architectures. • Help guide technical decisions during project planning and delivery. • Stay current with advancements in machine learning infrastructure, distributed systems, and AI engineering. • Identify opportunities to improve the scalability and efficiency of ML systems across projects. • Contribute to internal knowledge sharing and architectural standards across Janea’s engineering teams.

• Support F6S’ AWS customers in configuring and managing their AWS environments • Use expertise to help F6S AWS users configure or manage AWS

• Join partner-facing calls alongside Business Development to answer technical questions and scope integrations, building trust and confidence with APAC-based teams • Build proof-of-concepts, code snippets, and custom dashboards for integrators to accelerate their implementation of Morpho's protocol • Provide hands-on technical support to APAC integrators through Telegram and Slack channels to unblock implementation challenges in real-time • Improve developer documentation and tutorials based on integrator feedback to create better onboarding experiences for future partners • Forward bugs and product feedback from the field to internal engineering teams to drive continuous improvement of Morpho's products • Proactively identify gaps in integration support processes and suggest improvements to enhance how Morpho serves builders globally • Bridge language and timezone gaps by communicating technical details clearly with Mandarin-speaking product teams at major platforms

• design and build B2B SaaS integrations between complex enterprise systems and our sustainability platform • turn messy, inconsistent data into structured, validated, regulation-ready models • build reusable connector frameworks, not one-off integrations • design two-way sync flows that handle scale, failure and change effectively • work directly with product, data, customers, and partners to shape how integrations should work • use AI tools as part of your daily workflow to move faster, test mappings, validate schemas and explore edge cases • improve and modernize existing integrations while building new ones