Value Momentum Software - AI Architect - Python

Key Responsibilities: - Architect, design, and guide the implementation of enterprise-grade AI/ML solutions to solve complex business problems. - Lead collaboration with Data Scientists, ML Engineers, Platform Engineers, and Software Development teams to integrate AI capabilities into products and enterprise workflows. - Provide hands-on technical leadership in Python and modern AI/ML frameworks. - Work with TensorFlow, PyTorch, Hugging Face, LangChain, and other relevant AI/ML frameworks. - Oversee end-to-end data preparation, feature engineering, vectorization, and model development. - Ensure data quality and readiness for LLM and Generative AI workloads. - Evaluate emerging technologies across AI, ML, LLMs, Generative AI, and Agentic Systems and incorporate relevant innovations into architecture roadmaps. - Design and optimize AI systems for performance, latency, scalability, observability, security, and cost efficiency. - Leverage cloud-native and distributed computing environments for large-scale AI workloads. - Conduct technical design reviews, code reviews, and architecture assessments. - Establish engineering best practices and ensure high standards of quality and technical rigor. - Diagnose and resolve complex issues across AI/ML systems and production environments. - Ensure production AI applications deliver high levels of reliability, accuracy, security, and scalability. - Mentor engineering teams and provide technical direction on AI/ML architecture and implementation. Mandatory Skills: - Python - AI/ML Architecture - Generative AI & LLMs - Machine Learning - TensorFlow / PyTorch - Hugging Face - LangChain - Data Preparation & Feature Engineering - Vectorization / Embeddings - AI/ML Model Development - Cloud-native & Distributed Computing - AI/ML Performance Optimization - Production AI Systems Good to Have: - Agentic AI / Agentic Systems - RAG and Vector Databases - MLOps / LLMOps - Model Evaluation & Observability - Cloud platforms such as AWS, Azure, or GCP - Experience designing enterprise-scale AI platforms - Strong understanding of AI security, responsible AI, and cost optimization Candidate Profile: - Strong experience in AI/ML engineering and architecture. - Proven ability to lead complex enterprise AI initiatives. - Strong hands-on programming and system-design capabilities. - Excellent collaboration and stakeholder-management skills. - Strong problem-solving mindset with the ability to troubleshoot complex production AI systems. - Ability to stay current with rapidly evolving Generative AI, LLM, and Agentic AI technologies.