1 день назад
AI Solutions Design Manager (Generative AI)
160 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Solutions Design Manager (Generative AI): Leading the design and delivery of enterprise AI and GenAI solutions, including chatbots, copilots, RAG systems, and automation workflows, with an accent on solution architecture, model selection, governance, and operationalization. Focus on designing scalable AI systems, managing cross-functional delivery, mitigating hallucinations and model risk, and measuring adoption and business impact.
Location: Rochester, New York, United States; hybrid workplace
Salary: $160,000–$180,000 per year, plus a 20% company-performance bonus
Company
delivers professional services and technology solutions for business challenges and operational improvement.
What you will do
- Define the AI and Generative AI vision, roadmap, standards, and reusable architecture patterns.
- Design and deliver AI/ML and GenAI solutions from concept through production, including chatbots, copilots, summarization engines, and content-generation workflows.
- Oversee prompt libraries, embeddings, vector search, knowledge models, RAG systems, model selection, and fine-tuning.
- Manage the AI/GenAI project portfolio and lead data scientists, engineers, analysts, and business stakeholders through agile delivery.
- Establish responsible AI governance covering privacy, security, fairness, content filtering, hallucination mitigation, acceptable use, and lifecycle management.
- Develop AI training programs, define performance and business-value KPIs, and lead continuous improvement based on usage and quality data.
Requirements
- Bachelor’s or master’s degree in computer science, AI/ML, engineering, data science, or a related field.
- 7+ years of experience in AI/ML, data analytics, or software engineering, including 3+ years leading technical teams or designing enterprise AI solutions.
- Strong knowledge of machine learning, LLMs, NLP, deep learning, and automation technologies.
- Hands-on experience with AI platforms such as Azure ML, Databricks, OpenAI, or AWS.
- Ability to translate business needs into scalable technical solutions and communicate effectively with stakeholders.
- Applicants must be authorized to work for any employer in the United States; employment visa sponsorship is not available.
Nice to have
- Experience deploying enterprise GenAI or LLM-based applications.
- Cloud certifications in Azure, AWS, or GCP.
- Experience with MLOps, RAG, vector databases, and prompt engineering.
- Leadership experience across hybrid technical and business teams.
Culture & Benefits
- Hybrid work environment.
- Medical, dental, and vision insurance.
- 401(k) plan with company match.
- Company-paid life and disability insurance.
- Professional development opportunities.
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