9 Multi-Agent Architectures Jobs

Your experience should include... 10+ years validated experience in AI/ML leadership roles as a people manager, in an agile Technology/SaaS business, with a portfolio of large-scale AI/ML solutions, deployed globally Confirmed expertise in Agentic AI, autonomous systems, or multi-agent architectures in real-world applications. Designing, integrating, and scaling end-to-end global AI/ML systems, including data pipelines, model management, deployment, monitoring, etc Experience working in customer-facing domains, accelerating adoption or growth through AI/ML-powered applications Deep knowledge of industry-standard ML tools, frameworks, and cloud platforms Track record of building, leading and ...

Overview As an AI Applied Scientist-2 for Dynamics 365 Sales, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful.? ? You will collaborate across product, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experience.? AI Mission and Impact? We are in an era o...

Overview As a Senior AI Applied Scientist?for?Business & Industry Copilot?Foundations?team, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration of?cutting-edge?AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful.?? ?? You will collaborate across?product,?research?and engineering teams to bring innovative solutions to life, applying your?expertise?in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer?experiences.?? AI ? Mi...

Company Description At Echos, we help enterprises harness frontier technologies and deliver intelligence at scale. Grounded in strong foundations and powered by proven AI acceleration assets, implementation expertise, and trusted partnerships, we transform deep tech into measurable impact driving ROI today while shaping the enterprise of tomorrow. Role Overview We are looking for a AI Engineering Lead (8+ years) with proven hands-on experience in LLM-driven systems, GPU-based model pipelines, and enterprise-scale deployments. You'll lead a high-performing team of AI and data engineers delivering advanced Generative AI, NLP, and decision intelligence systems for global clients. Key Responsibi...

Job Description Roles & Responsibilities: Conduct deep research in: Vision-Language and Multimodal AI for perception and semantic grounding Cross-modal representation learning for real-world sensor fusion (camera, lidar, radar, text) Multimodal generative models for scene prediction, intent inference, or simulation Efficient model architectures for edge deployment in automotive and factory systems Evaluation methods for explain ability, alignment, and safety of VLMs in mission-critical applications Spin newer research directions and drive AI research programs for autonomous driving, ADAS, and Industry 4.0 applications. Create new collaborations within and outside of Bosch in relevant domains...

Role Summary As a Aprincipal AI Applied Scientist for The Customer Service Applications Team, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful. You will collaborate across product, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experience. AI Mission an...

Role Summary As a Senior AI Applied Scientist for The Customer Service Applications Team, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful. You will collaborate across product, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experiences. AI Mission and I...

Role Summary As a AI Applied Scientist for The Customer Service Applications Team, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful. You will collaborate across product, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experience. AI Mission and Impact We...

Overview The GenAI Solution Architect is a key member of the AI R&D team, responsible for designing and delivering advanced AI solutions leveraging LLMs, RAG, agentic architectures, and orchestration frameworks. The role provides technical leadership, accelerates knowledge transfer, and mentors internal engineers. Key Responsibilities Design and implement scalable GenAI solutions for business use cases. Lead development of agentic and orchestrated multi-agent architectures. Collaborate with ML engineers to integrate models with enterprise data pipelines. Partner with process automation engineers to enhance RPA with AI capabilities. Provide technical mentorship to process automation engineers...