This job is no longer available
This job expired on 14/10/2026. It no longer accepts applications.
Lead Data Scientist
Envision Employment Solutions
Job description
About the role
Envision Employment Solutions is recruiting a Lead Data Scientist for a global IT Services and Consulting leader. The role drives AI strategy, builds enterprise‑scale LLM platforms and ensures responsible AI deployment across the organization.
Key responsibilities
- Define and execute AI roadmaps aligned with corporate objectives.
- Architect LLM‑based ecosystems, including RAG pipelines, model orchestration and fine‑tuning strategies.
- Integrate Azure OpenAI, AWS Bedrock, Anthropic Claude, and Google Vertex AI into production stacks.
- Establish governance, compliance and security standards for LLM deployments.
- Oversee model observability, evaluation frameworks for hallucination rate, factual accuracy and toxicity control.
- Lead multidisciplinary AI teams and communicate progress to executive and non‑technical stakeholders.
- Collaborate with DevOps and security teams to ensure scalability, resilience and robust data governance.
Required profile
- Master’s or PhD in AI, Machine Learning, Computer Engineering or Applied Mathematics.
- Minimum 12 years of professional experience, including 5+ years in AI/ML strategy, leadership and delivery.
- Proven track record building and scaling enterprise‑level AI/LLM platforms.
- Strong executive communication and stakeholder management skills.
Required skills
- Anthropic Claude
- AWS Bedrock
- Azure OpenAI
- Google Vertex AI
- RAG pipelines
- Model orchestration
- Fine‑tuning and domain‑specific pretraining
- Model observability
- Evaluation frameworks (hallucination rate, factual accuracy, toxicity control)
- Data governance policies and feature stores
- Machine Learning
- DevOps
- Computer Engineering
- Applied mathematics
What we offer
- Opportunity to shape AI strategy for a global leader.
- Leadership of a high‑performing, multidisciplinary AI team.
- Access to cutting‑edge AI platforms and resources.
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