AI Architect

Key Responsibilities

• Design and implement GenAI solution architectures using enterpriseapproved LLMs and cloud platforms
• Support use cases such as document processing, summarization, Q&A, copilots, and workflow augmentation
• Define reference architectures for GenAI components (LLMs, vector stores, APIs, orchestration layers)
• Collaborate with engineers to integrate GenAI services into existing applications and data platforms
• Assist with prompt engineering, evaluation, and optimization for reliability and performance
• Ensure solutions align with security, privacy, and responsible AI guidelines
• Provide technical guidance during PoCs and early production deployments
• Document architecture decisions, patterns, and implementation guidance

Required Qualifications

• 4 7 years of experience in software, data, or cloud architecture roles
• Handson experience with Generative AI / LLMbased solutions
• Familiarity with tools such as Azure OpenAI, OpenAI APIs, LangChain, Semantic Kernel, or similar frameworks
• Working knowledge of REST APIs, cloud services, and modern application architectures
• Experience collaborating with engineering and product teams
• Strong communication skills with the ability to explain AI concepts to nontechnical stakeholders