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You will be updated with latest job alerts via emailThe Principal Data Scientist/AI Engineer is a senior technical expert who leads complex high-impact AI initiatives across the organization. This role is responsible for driving architectural decisions establishing reusable frameworks and influencing the AI strategy at an enterprise level. The Principal AI Engineer operates as a cross-functional advisor mentoring engineering teams evaluating emerging technologies and setting the long-term direction for AI systems at scale.
Key Responsibilities:
Serve as the technical authority on all AI/ML and GenAI solutions across business lines
Define and enforce AI security ethical AI principles and model governance guidelines in line with global standards
Design and review architectures for GenAI LLM integrations and autonomous agent systems
Develop reusable frameworks for MLOps data pipelines vector store integrations and RAG-based systems
Identify and integrate state-of-the-art AI capabilities tools and libraries through continuous research and experimentation
Lead cross-functional technical reviews influence design across product and engineering teams
Mentor Lead and Senior Engineers on advanced system design experimentation and production deployment
Represent AI Engineering in enterprise architectural councils or tech steering groups
Build thought leadership through white papers tech talks and participation in AI communities
Qualifications:
Masters or PhD in AI/ML Computer Science or related quantitative field
8 years of experience in advanced AI/ML solutioning including system-level design
Proven track record of leading large-scale production-grade AI initiatives
Deep expertise in GenAI: OpenAI/Anthropic APIs model customization LangChain vector DBs orchestration frameworks
Advanced knowledge of cloud AI stacks (Azure preferred) data engineering containerization and MLOps workflows
Strong understanding of security privacy explainability and compliance in AI/ML solutions
Preferred Qualifications:
Experience in defining enterprise-wide AI/ML standards and frameworks
Participation in AI patent filings publications or open-source contributions
Ability to influence non-technical leaders and translate technical depth into strategic direction
Required Experience:
Staff IC
Full-Time