
AI Infrastructure Leader
7 days ago
We are seeking a skilled Senior AI Engineering Manager to join our team.
- Design and deploy large-scale, secure, and compliant Generative AI solutions.
- Collaborate with cross-functional teams to build end-to-end LLM workflows.
- Translate domain needs into effective AI systems.
- Lead the integration of RAG pipelines, vector stores, prompt orchestration, and real-time inference.
Responsibilities include:
- Developing and maintaining AI infrastructure.
- Defining and implementing AI engineering best practices.
- Leading the design and deployment of AI models.
- Ensuring compliance with regulatory requirements.
- Mentoring junior engineers and providing guidance on AI development.
This role requires strong technical expertise in AI, excellent communication skills, and the ability to work effectively with diverse stakeholders.
Requirements:
- 7+ years of experience in AI/ML solution architecture.
- 2+ years working directly with LLMs and Generative AI.
- Proven success deploying production LLM applications.
- Hands-on experience with enterprise-grade LLM APIs.
- Proficient in Python for building orchestration pipelines.
- Strong expertise with Databricks ecosystem.
- Deep knowledge of data governance and metadata management.
- Experience integrating vector databases and implementing feedback systems.
- Ability to map domain problems to AI workflows.
- Familiarity with deploying models in cloud or hybrid environments.
- Clear and effective communicator.
Benefits:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Collaborative and dynamic work environment.
- Recognition and rewards for outstanding performance.
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