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The company is looking to solve AI/ML and Agentic AI workflow problems by architecting systems and developing solutions

Requirements

• Programming Languages: Python, Java
• Generative AI: Hands-on experience with generative AI models, RAG (Retrieval-Augmented Generation) architecture, and Natural Language Processing (NLP)
• Agentic AI : Google ADK, A2A, LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK
• Machine Learning Frameworks: Experience with TensorFlow, PyTorch and AutoML
• Cloud Platforms: Google Cloud Platform (GCP), Vertex AI and Kubeflow
• Data Engineering: Proficiency in data preprocessing and feature engineering
• Good to Have: Knowledge in GPU programming, GPU profiling, GPU optimizations & TensorRT

Responsibilities

• Meet with IT and Business teams to understand the requirements and opportunities to Architect systems for AI/ML, agent-based AI workflows
• Lead the design and development of AI/ML, ML Ops & Agentic AI solutions
• Develop and optimize ML models, pipelines, and orchestration logic
• Deploy AI/ML Models, LLM-based pipelines, agent orchestration, and vector-based memory systems
• Work closely with data scientists, ML engineers, DevOps, and software engineers to ensure seamless integration and deployment of solutions
• Drive technical strategy, tooling, and infrastructure decisions
• Provides management with timely communication on status & utilizes appropriate tools and/or develops custom solutions as required to meet objectives

Other

• Collaboration: Experience working in an Agile framework
• Identifies areas for process improvement
• Maintains appropriate communication within the team and across various teams (i.e., internal and external)
• Discretionary Annual Incentive
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans