
Innovative Artificial Intelligence Architect
2 days ago
Job Opportunity
We are seeking an experienced Artificial Intelligence Architect to lead the design and development of innovative AI-powered applications.
Key Responsibilities:
- Design and Develop AI-Powered Applications: Utilize Generative AI technologies to create intelligent systems that drive business growth.
- Collaborate with Cross-Functional Teams: Work closely with software engineers, data scientists, and other stakeholders to integrate AI solutions into existing systems.
- Develop and Maintain Domain Models: Fine-tune domain models for specific use cases, ensuring they meet the required standards.
- Implement LLM Operations Capabilities: Set up infrastructure, manage CI/CD pipelines, and monitor performance to ensure smooth operation.
- Engineer Data Pipelines and Workflows: Design and implement data pipelines and workflows for AI applications, prioritizing data integrity and security.
- Develop AI-Ready Cybersecurity Knowledge: Stay ahead of the curve with threat modeling, security monitoring, and privacy preservation.
- Establish GenAI Guardrails and Ethics: Ensure fairness, transparency, and model interpretability in all AI-powered applications.
Requirements:
- 8-15 Years of Experience: Proven track record in AI application development, with expertise in Generative AI.
- Proficiency in Python: Strong proficiency in Python programming language and related tools like LangChain, LlamaIndex, LangFlow, Langgraph, LangSmith, and Flowise.
- Familiarity with RAG Techniques: Familiarity with RAG techniques, vector databases (Pinecone, Weaviate, Qdrant), and additional technologies like Knowledge Graphs, FastAPI, Streamlit, and Gradio.
- Domain Model Fine-Tuning: Experience with fine-tuning domain models, including languages and libraries, tokenization and frameworks, and datasets.
- LLM Operations: Proficiency in LLMOps, including infrastructure setup, CI/CD pipeline management, and monitoring.
- Data Engineering Skills: Strong data engineering skills for AI applications, including data processing and management, workflow automation, and data catalogs.
- AI-Ready Cybersecurity: Comprehensive knowledge of AI-ready cybersecurity, including threat modeling, security monitoring, and privacy preservation.
- GenAI Guardrails and Ethics: Understanding of GenAI guardrails and ethics, including fairness, transparency, and model interpretability.
Working Conditions:
This role requires full-time commitment. The ideal candidate should be comfortable with online interviews and willing to relocate within PAN INDIA.
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