Required Director of AI Agents Research
The Job
Were on an expedition to find someone whos passionate about creating intuitive, out-of-this-world scalable, high-performance systems that power the future of AI. You'll lead an organization of engineers , MLOps teams, and more to redefine the next AI agentic infrastructure for multiple use cases across the product and organizations.
Responsibilities
Suggests AI strategy aligned with company goals (e.g., automation, personalization, product innovation).
Oversees AI research and development Mannaging Engineers , AI engineering, and MLOps teams.
Evaluates AI opportunities identifies where AI can deliver value and ensures ethical, scalable implementation.
Collaborates with executives to translate business needs into technical roadmaps.
Builds AI governance: compliance, ethics, and model accountability frameworks.
Collaborate with Engineering, Product, Security.
The Job
Were on an expedition to find someone whos passionate about creating intuitive, out-of-this-world scalable, high-performance systems that power the future of AI. You'll lead an organization of engineers , MLOps teams, and more to redefine the next AI agentic infrastructure for multiple use cases across the product and organizations.
Responsibilities
Suggests AI strategy aligned with company goals (e.g., automation, personalization, product innovation).
Oversees AI research and development Mannaging Engineers , AI engineering, and MLOps teams.
Evaluates AI opportunities identifies where AI can deliver value and ensures ethical, scalable implementation.
Collaborates with executives to translate business needs into technical roadmaps.
Builds AI governance: compliance, ethics, and model accountability frameworks.
Collaborate with Engineering, Product, Security.
Requirements:
8+ years in AI/ML, with at least 35 years in a leadership role.
Knowledge in AI agents and orchestration frameworks (e.g., CrewAI, AutoGen, LangGraph).
Understanding of machine learning algorithms, LLMs, and generative AI.
Understanding in Edge AI and multimodal systems (text, vision, voice).
Executive communication translating complex AI concepts into ROI-focused narratives.
Expertise in data architecture, ETL pipelines, and data governance.
Familiarity with cloud AI platforms (AWS Sagemaker, Google Vertex AI, Azure AI Studio).
Understanding of MLOps, CI/CD for models and AI agents, monitoring.
Tech Stack:
AWS SageMaker, Google Vertex AI, Azure Machine Learning, python, LLMs, Prompting, LangChain,, RAG.
8+ years in AI/ML, with at least 35 years in a leadership role.
Knowledge in AI agents and orchestration frameworks (e.g., CrewAI, AutoGen, LangGraph).
Understanding of machine learning algorithms, LLMs, and generative AI.
Understanding in Edge AI and multimodal systems (text, vision, voice).
Executive communication translating complex AI concepts into ROI-focused narratives.
Expertise in data architecture, ETL pipelines, and data governance.
Familiarity with cloud AI platforms (AWS Sagemaker, Google Vertex AI, Azure AI Studio).
Understanding of MLOps, CI/CD for models and AI agents, monitoring.
Tech Stack:
AWS SageMaker, Google Vertex AI, Azure Machine Learning, python, LLMs, Prompting, LangChain,, RAG.
This position is open to all candidates.
