Gen AI Architect

We are seeking a highly skilled GEN AI Architect with extensive experience in designing and deploying AI powered agents and architectures. The ideal candidate will have a strong background in large language models (LLMs) and a proven track record of implementing scalable AI solutions that align with business objectives. This role requires a blend of technical expertise, strategic thinking, and excellent communication skills to collaborate effectively with cross functional teams.

Responsibilities:

• Define & Design AI Architectures: Establish scalable, modular, and efficient architectures for AI agents, LLM based applications, and generative AI models.
• Hands on AI Development: Implement and optimize generative AI models using frameworks such as OpenAI, LangChain, and RAG.
• AI Integration & Deployment: Work with cloud AI platforms (Azure, GCP) to implement best practices for MLOps, model serving, and continuous improvement.
• Enterprise AI Strategy: Align AI driven solutions with business objectives, ensuring scalability, security, and cost effectiveness.
• Cross functional Collaboration: Engage with product teams, data scientists, and engineering teams to ensure seamless integration of AI powered solutions into business workflows.
• AI Governance & Ethics: Establish responsible AI practices, ensuring compliance with data privacy, model bias mitigation, and security best practices.
• Evaluation & Optimization: Continuously assess AI agent performance and optimize for improved outcomes.

Mandatory Skills:

• Hands on experience in designing and deploying AI powered agents and multi agent architectures.
• Expertise in Large Language Models (LLMs) such as GPT, BERT, and Llama.
• Proficiency in AI frameworks like TensorFlow, PyTorch, and Hugging Face.
• Strong knowledge of retrieval augmented generation (RAG) and vector databases (e.g., Vector DBs).
• Experience with cloud AI services (Azure Cognitive Services) and containerized deployment using Docker and Kubernetes.
• Strong background in API driven development, API and Microservices, and event driven architectures.
• Experience with MLOps, CI/CD Pipeline, and monitoring AI models in production.
• Excellent problem solving, analytical thinking, and effective communication skills.

Preferred Skills:

• Experience with AI orchestration/agents frameworks, including AG2, CrewAI, and AutoGPT.
• Familiarity with multi modal AI models (text, image, video, audio) and AI personalization techniques.
• Knowledge of Responsible AI principles, including bias mitigation and explainability.
• Advanced academic background (PhD/Master's) in AI, ML, Data Science, or a related field