Key skills
LLMOpsNLPMachine LearningCloud-native toolsMLOps frameworksLangChainRAG pipelinesVector databasesStrategic LeadershipTeam ManagementContinuous LearningAIMLGenerative AILLMHugging FaceMLOpsAnalyticsAWSAzureGCPCI/CDSales
About this role
Fractal Analytics is a strategic AI partner to Fortune 500 companies, aiming to power every human decision in the enterprise. As the Lead for LLMOps, you will spearhead the development, deployment, and operationalization of large language model-based solutions while guiding a team of AI/ML engineers and data scientists.
Responsibilities:
- Define and drive the vision for LLMOps within the organization
- Collaborate with product and tribe leads to align LLM capabilities with business goals
- Lead pre-sales and proposal efforts for LLM-based solutions
- Architect and implement end-to-end LLM workflows including fine-tuning, evaluation, deployment, and monitoring
- Establish best practices for model governance, CI/CD pipelines, and responsible AI
- Oversee integration of LLMs with enterprise systems and APIs
- Build and mentor a high-performing team of ML engineers and AI specialists
- Allocate resources effectively across global delivery backlogs
- Foster a culture of innovation, accountability, and continuous learning
- Develop strategic partnerships with platforms like Hugging Face, LangChain, and cloud providers (AWS, Azure, GCP)
- Stay abreast of emerging tools and frameworks in generative AI and LLMOps
Requirements:
- Master's or PhD in Computer Science, Machine Learning, NLP, or related field
- 8+ years of experience in AI/ML, with at least 2 years in LLMOps or generative AI
- Proven track record of deploying LLMs in production environments
- Deep understanding of NLP architectures (Transformers, RNNs, CNNs)
- Experience with LangChain, RAG pipelines, vector databases, and containerized workflows
- Strong grasp of cloud-native tools and MLOps frameworks