What are the responsibilities and job description for the AI Solution Lead position at Jobs via Dice?
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Role Overview
We are seeking an AI Solution Lead to design and deliver enterprise-grade AI solutions using Generative AI, Large Language Models (LLMs), and agentic workflows. The role involves translating business problems into AI-driven solutions, ensuring scalability, governance, and responsible AI practices, while engaging directly with senior client stakeholders.
Key Responsibilities
Architect and deploy AI/ML systems (LLMs, RAG, AI copilots) into production.
Lead MLOps pipelines, model monitoring, and lifecycle management.
Implement AI governance, explainability, and bias mitigation frameworks.
Act as a trusted advisor, simplifying complex AI concepts for executives.
Stay current with emerging AI research and tools to drive innovation.
Qualifications
Master s in Data Science, ML, Computer Science, or related field.
Proven experience designing and deploying AI/ML systems in production.
Strong expertise in LLMs, Generative AI, ML pipelines, and MLOps.
Experience with AI governance and responsible AI practices.
Excellent communication and client-facing skills.
Preferred
Experience with agentic AI systems, orchestration frameworks, and RAG pipelines.
Familiarity with scalable AI infrastructure and enterprise environments.
Role Overview
We are seeking an AI Solution Lead to design and deliver enterprise-grade AI solutions using Generative AI, Large Language Models (LLMs), and agentic workflows. The role involves translating business problems into AI-driven solutions, ensuring scalability, governance, and responsible AI practices, while engaging directly with senior client stakeholders.
Key Responsibilities
Architect and deploy AI/ML systems (LLMs, RAG, AI copilots) into production.
Lead MLOps pipelines, model monitoring, and lifecycle management.
Implement AI governance, explainability, and bias mitigation frameworks.
Act as a trusted advisor, simplifying complex AI concepts for executives.
Stay current with emerging AI research and tools to drive innovation.
Qualifications
Master s in Data Science, ML, Computer Science, or related field.
Proven experience designing and deploying AI/ML systems in production.
Strong expertise in LLMs, Generative AI, ML pipelines, and MLOps.
Experience with AI governance and responsible AI practices.
Excellent communication and client-facing skills.
Preferred
Experience with agentic AI systems, orchestration frameworks, and RAG pipelines.
Familiarity with scalable AI infrastructure and enterprise environments.