Build and execute software test plans while developing Python, Swift, or Objective-C automation frameworks and generative-AI tools to expand coverage for features used in Japan.
Leads customer implementations of LLM and generative-AI systems from architecture through production, building full-stack solutions and improving model quality.
Build and deploy AI and software solutions using LLM-based systems and cloud AI platforms, validate quality and performance, and deliver projects end to end. Travel up to 25%.
Lead architecture and hands-on development for GENIEE SFA/CRM, solve enterprise needs with AI, manage engineering teams, and improve delivery. Two home-working days are possible weekly.
Design, build, and maintain production-grade ML systems with a focus on Large Language Models (LLMs).
Lead platform engineering for AI-native software development and operations, building automation, quality, monitoring, and secure systems for sensitive medical data.
Design, develop, and operate AI agent infrastructure using LLM platforms and agent frameworks to enhance business decision-making.
Lead the development and improvement of AI functions, focusing on extracting and structuring information from PDF documents.
Applied GenAI engineering role for Amazon Logistics requiring AWS data services and big-data technologies, including Redshift, S3, Glue, EMR, Kinesis, Hadoop, Hive, and Spark.
Lead software development from requirements through release and maintenance, improve architecture and development processes, and support team growth across GO's mobility products. The role may involve hands-on implementation, people management, and generative AI adoption.
Lead AI transformation projects from vision and requirements definition through PoC, implementation, operations, and adoption. Manage multiple client engagements, teams, quality, profitability, staffing, risks, and stakeholder alignment.
Lead AI strategy and business-model transformation for major enterprises, align C-suite stakeholders, design AI CoEs, and guide strategy through implementation with executive leadership.
Leads enterprise AI implementations from requirements to production, designing architecture, data connectivity, and RAG pipelines while guiding technical standards in a hybrid Tokyo role.
Build data pipelines and machine-learning models for commercial real estate, tune inference, and lead AI product PoCs and MVPs with business teams. Hybrid remote work is available in Tokyo.
Lead AI solution business development for enterprise clients, from identifying business needs and designing practical services to proposals, UX planning, and project delivery with engineers. Apply generative AI, NLP, and optimization technologies to new services and operational reform.
Develop automation for the Tailor Platform using AI technologies, including creating custom AI models and providing solutions to technical challenges.
Leads an Applied AI Architect team supporting strategic customers in Japan, guiding AI initiatives from exploration to production and overseeing technical strategy, deployment, and team development.
Build an LLM-based sales product, implementing AI features, architecture, integrations, and quality improvements with a cross-functional team. Remote work is available.
Investigates machine-learning methods for generating and editing video, sound, and 3D geometry, while studying memorization, concept erasure, and data attribution in generative AI.
Leads technical presales for Microsoft security solutions through demonstrations, workshops and proof of concepts addressing AI security, XDR, SIEM, zero trust and multicloud.
Lead the development of AI agents using LLMs, focusing on architecture design and implementation to maximize client business value.
Lead high-difficulty AI projects, manage quality across multiple projects, and mentor junior data scientists.
Lead AI and DX projects as a project manager by organizing requirements, managing progress and issues, negotiating with clients, preparing materials, and coordinating teams of 3–10 members.