Senior GenAI Architect

Job Summary We are seeking a Senior GenAI Architect to lead the design and implementation of scalable generative AI and NLP solutions. This role involves defining architecture, developing multi-agent AI systems, and delivering end-to-end solutions into production. The ideal candidate will provide technical leadership, collaborate with cross-functional teams, and ensure alignment with enterprise AI standards, governance, and best practices. Key Responsibilities Lead the architecture and design of scalable, multi-agent GenAI solutions. Design and implement LLM-based NLP solutions using structured and unstructured data sources. Define agent orchestration patterns, prompt strategies, routing logic, and response traceability. Collaborate with platform, cloud, and security teams to ensure adherence to enterprise standards and deployment practices. Deliver end-to-end solutions including design, development, testing, and production deployment. Provide technical guidance, mentorship, and knowledge transfer to internal teams. Participate in technical evaluations and interviews for additional team members. Ensure solutions align with enterprise AI governance, compliance, and security requirements. Required Qualifications Strong experience in designing and implementing GenAI and NLP solutions using large language models (LLMs). Hands-on experience with prompt engineering and pre-trained language models. Experience building and deploying AI solutions in cloud environments (AWS preferred). Familiarity with multi-agent or agent-based AI architectures. Proficiency in Python and/or Julia. Experience integrating AI/ML models into production environments. Experience working within enterprise AI/ML ecosystems and governance frameworks. Strong analytical, problem-solving, and communication skills. Preferred Qualifications Background in machine learning for advanced analytics and optimization use cases. Experience explaining AI concepts and outputs to non-technical stakeholders. Education: Bachelors Degree