
Chief AI Product Architect
1 day ago
Job Opportunity: Advanced AI/ML Strategist
We seek a forward-thinking leader with expertise in cloud architecture, deep knowledge of RAG and agentic AI patterns, and hands-on leadership in delivering enterprise-grade AI solutions.
This role combines strategic vision with technical depth, leading a team of engineers to implement AI-powered applications at scale, including edge and hybrid deployments.
Key Responsibilities:
- Develop and execute AI solution architecture across cloud, edge, and hybrid environments.
- Evaluate large language model (LLM) applications and develop observability frameworks to ensure seamless integration.
- Research and implement the latest technology and frameworks to drive innovation.
- Lead the design and implementation of RAG-based knowledge systems and agentic AI workflows, leveraging structured data and LLMs.
- Select and integrate enterprise-grade AI models, including OpenAI, Anthropic, Mistral, LLaMA, and custom fine-tuned models.
- Drive cloud-native AI deployments leveraging AWS, Azure, and GCP AI services, ensuring scalability and efficiency.
- Architect LLMOps pipelines for AI model lifecycle management, optimizing cost, performance, and security trade-offs.
- Implement AI governance, risk management, and compliance frameworks for regulated industries.
- Collaborate with business stakeholders to translate needs into AI-powered products, ensuring alignment with business objectives.
- Establish AI monitoring and observability, including drift detection, hallucination tracking, and usage analytics.
Requirements:
- 8-15 years of technology experience, with 4+ years in AI/ML and 2+ years in GenAI.
- Proven leadership in cloud AI architectures, including AWS Bedrock/SageMaker, Azure OpenAI, and GCP Vertex AI.
- Strong expertise in RAG architectures, embeddings, and semantic search, with proficiency in edge AI deployments and low-latency AI inference optimization.
- Advanced knowledge of vector stores, distributed search, and multi-modal AI, with a strong understanding of AI product lifecycle, from ideation to production.
- Excellent stakeholder management and team leadership skills, with the ability to mentor and manage AI engineers.
Benefits of This Role:
This is an exceptional opportunity to lead cutting-edge AI initiatives and drive innovation in a fast-paced environment. As a seasoned leader, you will have the chance to shape the future of AI and make a significant impact on our organization's success.
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