Apps Development Group Manager, Senior Vice President

What you'll do

• Design and build agentic AI systems featuring multi-agent orchestration, tool use, and adaptive decision-making workflows.
• Architect fault-tolerant, scalable AI solutions using frameworks like LangGraph, LangChain, and OpenAI Assistants.
• Develop advanced Retrieval-Augmented Generation (RAG) architectures including hybrid retrieval and query planning.
• Engineer robust data pipelines to aggregate and harmonize data from APIs, databases, and unstructured sources.
• Build production-grade MLOps/AIOps pipelines using containerized infrastructure like Kubernetes, Docker, and Helm.
• Implement safety guardrails, evaluation pipelines, and bias mitigation strategies for generative AI applications.
• Serve as the technical subject matter expert for AI engineering patterns and solution design.
• Mentor mid-level engineers on best practices for AI build patterns and engineering quality.

What we're looking for

• 10+ years of experience in software engineering, AI/ML engineering, systems architecture, or related fields.
• Proven experience designing and deploying enterprise-grade AI systems in production.
• Strong foundations in ML, NLP, embeddings, statistics, neural networks, and LLMs.
• Extensive hands-on experience with LLMs including Gemini, OpenAI, Claude, Mistral, and Llama.
• Deep expertise in RAG architectures, including retrieval optimization, vector search, and semantic data modeling.
• Experience building agentic AI using Google_ADK or LangGraph.
• Strong proficiency in Python and libraries such as Pandas, NumPy, PyTorch, TensorFlow, and LangChain.
• Bachelor’s degree or equivalent experience required; Master’s degree preferred.