Lead AI/ML Engineer
First seen by Alion on Sep 19, 2026.
Key Responsibilities:
AI Strategy & Technical Leadership:
- Lead the architecture, design, and implementation of enterprise-scale AI/ML solutions.
- Define and drive the AI/ML roadmap, ensuring alignment with business objectives and product strategy.
- Provide technical leadership and mentorship to AI/ML engineers and data scientists.
- Establish best practices for AI model development, experimentation, deployment, and monitoring.
Generative AI & LLM Systems:
- Design and develop Generative AI applications using LLMs such as GPT, LLaMA, Gemini, or custom models.
- Architect and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge systems.
- Lead initiatives for LLM fine-tuning, prompt engineering, and model optimization.
- Design AI agent architectures using frameworks like LangChain, LangGraph, and LlamaIndex.
AI/ML Model Development:
- Develop and deploy NLP, Computer Vision, and multimodal AI models for real-world business applications.
- Implement advanced deep learning architectures using PyTorch, TensorFlow, or Keras.
- Identify and evaluate pre-trained and foundation models suitable for specific use cases.
- Drive data preprocessing, feature engineering, and dataset curation for model training.
- Design scalable AI infrastructure and MLOps pipelines for model training, deployment, and monitoring.
- Deploy AI solutions across cloud platforms (AWS, Azure, GCP) or hybrid/on-premise environments.
- Build APIs, microservices, and pipelines to integrate AI capabilities into enterprise applications.
- Lead efforts in model optimization, inference acceleration, and resource efficiency.
- Conduct model evaluation, benchmarking, and continuous performance optimization.
- Optimize AI systems for latency, scalability, and cost efficiency.
- Implement testing, monitoring, and observability frameworks for AI systems in production.
Collaboration & Innovation:
- Foster a culture of innovation and continuous learning within the AI/ML team.
- Collaborate with cross-functional stakeholders to identify high-impact AI opportunities.
- Stay abreast of the latest advancements in AI research and industry trends.
Skills
Generative AI, LLM, LangChain, PyTorch, Tensorflow, MLOps, Machine Learning, AWS, Azure, Artificial Intelligence