Senior Manager -Artificial Intelligence
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Key skills for this role
About the Role
Teamware Solutions seeks a Senior Manager of Artificial Intelligence to lead the design and deployment of Generative AI and Agentic systems. The role requires 15+ years of experience, deep expertise in LLMs and multi-agent orchestration, and a track record of production-grade AI solutions.
Key Skills for This Role
Responsibilities
- Drive next gen AI strategy with emphasis on Generative AI, autonomous agents, and applied LLMs
- Orchestrate agentic ecosystems: lead design and deployment of multi agent systems with centralized monitoring
- Ship GenAI proofs of concept to reliable, scalable, and secure production environments
- Champion LLMOps: establish infrastructure including advanced RAG pipelines, vector databases, and continuous agent evaluation
- Ensure AI governance: implement strict guardrails for Generative AI focusing on transparency, privacy, security, and prompt injection mitigation
Requirements
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related technical field
- 15+ years in technology or engineering roles
- Recent dedicated leadership experience deploying Generative AI and Agentic solutions into production
- Deep practical knowledge of LLM architectures, fine tuning methodologies, and multi agent orchestration frameworks
- Strong understanding of modern AI stack including vector databases, cloud native deployments, and LLMOps practices
- Proven ability to demystify complex GenAI concepts for executive stakeholders and mentor high performing teams
Full Job Posting
Job Overview
- We are seeking a forward thinking Senior Manager of Artificial Intelligence who has successfully transitioned beyond traditional machine learning to architect and deploy modern Generative AI and Agentic systems.
What You’ll Do
- Drive Next Gen Strategy: Own the enterprise AI roadmap with a heavy emphasis on Generative AI, autonomous agents, and applied Large Language Models.
- Orchestrate Agentic Ecosystems: Lead the design and deployment of multi agent systems, orchestrating specialized AI agents governed by centralized monitoring dashboards.
- Ship to Production: Guide cross functional engineering teams to move GenAI proofs of concept into reliable, scalable, and secure production environments.
- Champion LLMOps: Establish the infrastructure required for modern AI, including advanced RAG pipelines, vector databases, and continuous agent evaluation.
- Ensure AI Governance: Implement strict guardrails for Generative AI, focusing on algorithmic transparency, data privacy, security, and prompt injection mitigation.
What You Bring
- Background: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related highly technical field.
- Experience: 15+ years in technology or engineering roles, with recent, dedicated leadership experience explicitly focused on deploying Generative AI and Agentic solutions into production.
- Modern AI Expertise: Deep, practical knowledge of LLM architectures, fine tuning methodologies, and multi agent orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI).
- Infrastructure Acumen: Strong understanding of the modern AI stack, including vector databases, cloud native deployments, and LLMOps practices.
- Leadership: Proven ability to demystify complex GenAI concepts for executive stakeholders, secure buy in, and mentor high performing teams of modern AI engineers.
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