Gen AI Architect

• Design and develop scalable, API-based GenAI solutions integrated into business applications.
• Build and maintain data pipelines and infrastructure to support AI and LLM-based solutions.
• Integrate and orchestrate LLMs (e.g., OpenAI GPT, PaLM, Claude, Cohere) using API endpoints.
• Apply prompt engineering techniques and develop intelligent agent-based systems using frameworks such as LangChain.
• Work with vector databases such as Pinecone, Chroma, or FAISS for efficient information retrieval.
• Conduct experiments to evaluate and adopt new LLM models, features, and capabilities.
• Collaborate with GenAI Leads and cross-functional teams to address product backlog requirements.
• Troubleshoot and resolve system, integration, and design-related issues.
• Utilize cloud platforms (Azure, AWS, GCP) for storage, serverless computing, search, transcription, and conversational AI solutions.
• Contribute to architectural decisions and ensure best practices in AI system design and implementation.

Requirements

• Bachelor's or Master's Degree in Computer Science, Statistics, Mathematics, or a related field.
• Strong experience in data analytics, software development, or a senior engineering role within modern technology stacks.
• Proficiency in programming languages such as Python, PySpark, or Java.
• Experience building scalable API-driven architectures.
• Hands-on experience integrating at least one major LLM via APIs.
• Strong understanding of prompt engineering and LLM-based solution design.
• Experience with agentic AI frameworks and implementations.
• Knowledge of vector databases such as Pinecone, Chroma, or FAISS.
• Basic data engineering skills for handling structured and unstructured data.
• Experience with cloud platforms (Azure, AWS, or GCP).
• Familiarity with data engineering and ETL tools is an added advantage.

Core Competencies

• Strong analytical thinking and problem-solving skills.
• Ability to experiment, innovate, and adapt to rapidly evolving AI technologies.
• Strong collaboration and communication skills.
• Ability to design scalable and future-ready AI architectures.