Strategic GenAI Architect
24 hours ago
As a senior data scientist, you will play a key role in driving the development of scalable GenAI-powered systems.
You'll be responsible for designing intelligent workflows that leverage large language models (LLMs), vector-based retrieval, and multi-agent orchestration frameworks.
The successful candidate will have expertise in Python, deep familiarity with LLM APIs, embedding generation, vector-based search, and modular pipeline design.
- Design and deploy GenAI systems leveraging LLMs, retrieval pipelines, and orchestration frameworks for multi-step task execution.
- Architect and optimize prompt workflows, including chaining, templating, and context control, for high-accuracy and cost-efficient solutions.
- Build and maintain embedding-based retrieval systems using vector databases and context-aware generation techniques.
- Collaborate with product owners and engineering leads to align solution architecture with business objectives.
- Guide and mentor junior engineers on best practices in prompt design, token optimization, security controls, and observability patterns.
- Define standards for code modularity, response consistency, prompt safety, and testing across LLM-powered applications.
- Evaluate emerging GenAI tooling and provide technical recommendations for experimentation and adoption.
Requirements:
- 4+ years of experience in AI/ML solution delivery, with a strong focus on GenAI or LLM-integrated systems.
- Expertise in Python, deep familiarity with LLM APIs, embedding generation, vector-based search, and modular pipeline design.
- Proven experience in building and deploying prompt-driven applications at scale.
- Solid understanding of agent orchestration patterns, multi-agent task flows, and context layering techniques.
- Hands-on experience in cloud-native delivery, including containerization, CI/CD, and monitoring.
About the Role
This is an excellent opportunity to join a team of innovative professionals and contribute to the development of cutting-edge GenAI-powered systems.
As a senior data scientist, you will have the chance to work on complex projects, collaborate with cross-functional teams, and develop your skills in a fast-paced environment.
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