US Main
Work Type: Full Time Location: Dallas, Texas Experience Required: 8+ years software engineering with AI/ML focus, 3+ years technical leadership About the Company: Our client is a leading technology consulting firm specializing in intelligent systems and AI-powered solutions. They work with enterprise clients to architect and deploy cutting-edge AI applications, from generative AI copilots to complex machine learning pipelines, helping organizations transform their operations through advanced artificial intelligence. Job Overview Join as a Senior AI Engineer leading the architecture and implementation of advanced AI and machine learning systems that solve complex business problems. You'll work at the forefront of generative AI, building LLM-based applications, AI copilots, and intelligent workflows while mentoring engineering teams and driving AI strategy for enterprise clients. Key Responsibilities Architect and implement advanced AI/ML systems solving complex business challenges Lead design and deployment of LLM-based applications using LangChain, LlamaIndex, and vector databases Develop end-to-end ML pipelines from data acquisition and model training to deployment and monitoring Design and build AI copilots, agents, and generative workflows integrated into modern software ecosystems Apply deep expertise in NLP, computer vision, or predictive modeling for intelligent, real-time systems Evaluate and fine-tune foundation models for custom enterprise use cases Collaborate with cross-functional teams (product, design, engineering) to define intelligent experiences Implement RAG, semantic search, and multi-modal reasoning technologies Contribute to internal AI frameworks and accelerators to speed solution delivery Mentor engineers on AI architecture, model lifecycle best practices, and ethical ML use Lead client-facing discussions on AI strategy and technical implementations Must-Have Requirements 8+ years software engineering experience with strong AI/ML and intelligent systems focus 3+ years technical leadership role building and deploying ML systems in production Deep Python expertise and modern AI/ML libraries (PyTorch, TensorFlow, Hugging Face Transformers) LLM experience with OpenAI, Anthropic, Cohere, open source LLMs, and prompt engineering Vector database familiarity (Pinecone, Weaviate, FAISS) and scalable ML infrastructure AI system design knowledge including data engineering for ML, model evaluation, MLOps practices Full-stack AI integration experience in cloud-native environments, specifically AWS Strong communication skills and consulting mindset for client-facing AI strategy discussions Innovation passion for experimentation and shaping the future of applied AI Nice-to-Have Skills Advanced degree in Computer Science, AI/ML, or related technical field Multi-modal AI experience combining vision, language, and reasoning capabilities Enterprise AI deployment experience with scalability, security, and compliance requirements Research background with publications in AI/ML conferences or journals Domain expertise in specific verticals (healthcare, finance, retail, etc.) Open source contributions to AI/ML frameworks or communities Work Environment & Culture Remote-first consulting environment with collaborative, innovation-focused culture Cutting-edge technology exposure with access to latest AI tools and platforms Client variety across industries and use cases, from startups to Fortune 500 Professional development opportunities and conference attendance support Technical leadership path with mentoring and architectural decision-making responsibilities