Senior AI Architect

Technical Architect Job Description Must Have Technical/Functional Skills • Strong enterprise solution architecture experience with significant exposure to AI/ML and GenAI. • Hands-on understanding of LLMs, SLMs, RAG, embeddings, vector databases, AI agents, prompt engineering, and model evaluation. • Experience with cloud AI platforms such as Azure AI, AWS, or Google Cloud. • Understanding of commercial and open-source AI models. • Strong knowledge of APIs, microservices, containers, cloud architecture, security, and enterprise integration. • Ability to evaluate architectural trade-offs across quality, performance, risk, scalability, and cost. Roles & Responsibilities • Define end-to-end architecture for enterprise AI and GenAI solutions. • Establish reference architectures and reusable patterns for LLM, SLM, RAG, agentic AI, and traditional ML solutions. • Evaluate AI models and platforms based on business requirements, accuracy, latency, security, scalability, and cost. • Define criteria for determining when to use AI, what type of AI to use, and when traditional technology or automation is more appropriate. • Develop strategies for model routing, token optimization, caching, prompt optimization, and inference-cost management. • Architect secure integration of AI solutions with enterprise applications, APIs, data platforms, and knowledge repositories. • Provide architecture guidance for AI agents, orchestration, vector databases, embeddings, APIs, and model gateways. • Collaborate with security, data, infrastructure, governance, and application architecture teams. • Provide technical leadership to engineering teams and conduct architecture/design reviews. • Help translate business use cases into scalable AI solution architectures. Salary Range $110,000 - $130,000 a year Location Oaks, PA Tata Consultancy Services