Posted 11/27/2025Lead/Manager
    Full-time
    Technology
    AI
    Machine Learning
    Computer Engineering
    Applied Math
    AI Strategy

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    Job Description

    Envision Employment Solutions is currently looking for a Lead Data Scientist for one of our partners, a global leader in the IT Services and IT Consulting. Master’s or PhD in AI, Machine Learning, Computer Engineering, or Applied Math. 5+ years of experience in AI/ML strategy, leadership, and delivery. Minimum of 12 years of experience is required Proven ability to build and scale enterprise-level AI/LLM platforms. Technical & Strategic Requirements

    Strategic AI Leadership:

    • Defines and drives AI roadmaps aligned with corporate goals.
    • Oversees model lifecycle from experimentation to production.

    LLM & NLP (Architect Level):

    • Designs LLM-based ecosystems with RAG pipelines, model orchestration, and fine-tuning strategies.
    • Leads fine-tuning or domain-specific pretraining using proprietary datasets.
    • Integrates Azure OpenAI, AWS Bedrock, Anthropic Claude, or Google Vertex AI into enterprise stacks.
    • Defines governance, compliance, and security standards for LLM deployments.
    • Oversees evaluation frameworks for hallucination rate, factual accuracy, and toxicity control.

    Infrastructure & Governance:

    • Owns data governance policies, feature stores, and model observability infrastructure.
    • Collaborates with DevOps and Security to ensure scalability and resilience.

    Team & Stakeholder Leadership:

    • Builds and manages multidisciplinary AI teams (Data Scientists, ML Engineers, Data Engineers).
    • Communicates directly with executive management and non-technical stakeholders.
    • Evaluates vendors and partnerships for AI acceleration.
    • Leadership Competencies
    • Visionary mindset driving innovation across business units.
    • Excellent executive communication and influence skills.
    • Focused on measurable ROI, scalability, and ethical AI.
    • Mentors senior scientists, defining best practices and research direction.

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