Global IT Solution Architect Expert Senior Manager

WHAT YOU'LL DO We are seeking a highly skilled Gen AI/LLM Solution Architect Expert Senior Manager to join our team. This role is pivotal in building and accelerating solution delivery on our cloud-native Generative AI platform. The ideal candidate will possess a strong background in solution architecture, Gen AI and LLM-based solution delivery, cloud-native and distributed architectures, cloud infrastructure, and AI SDLC/MLOps/LLMOps. A passion for creating scalable, reliable, and efficient systems is essential. In this critical role, you will leverage your expertise to design and implement advanced Generative AI solutions, ensuring they align with enterprise security and compliance standards. You will collaborate closely with platform teams, our engineering teams, and use-case teams to tackle their unique challenges, enabling them to achieve the outcomes. Additionally, you will document solution architectures thoroughly and review them with Platform teams, Enterprise Architects, Security, and other stakeholders to ensure alignment with enterprise architecture principles and security standards. Your leadership will be key in guiding development squads, including external vendors and contractors, to deliver high-quality solutions on our platform. This position offers an exciting opportunity to be at the forefront of Gen AI innovation, working within a dynamic and collaborative environment. If you have a passion for cutting-edge technology and a drive to make a significant impact, we invite you to apply for this role. YOU'RE GOOD AT Architecting, building, and delivering scalable platforms that are secure and compliant with enterprise requirements. Driving projects and teams to deliver results for the business while adhering to standards and processes. Influencing and being a technical thought partner with EAs, Lead Architects, Chapter Leads, and TALs. Being passionate, intellectually curious, and enjoying learning new skills and capabilities. Committing to cross-functional collaboration to achieve the best results for the organization. Coaching and developing people to improve their performance, knowledge, and expertise. Being comfortable with both planning and execution. Bringing a data-driven approach to decision-making, both in day-to-day management and in making technical or architectural trade-offs. YOU BRING (EXPERIENCE & QUALIFICATIONS) Master’s or bachelor’s degree in engineering (or equivalent), preferably with a focus on artificial intelligence, machine learning, or data science. Proven experience in architecting Gen AI, Artificial Intelligence, Machine Learning, or Natural Language Processing-based systems for scale and robustness. 2+ years of experience in experimenting, architecting, and developing with LLM. 1 to 2 years of experience with LLMs and related services for production use cases. 10+ years of design and implementation experience building enterprise-grade platform services with distributed architecture and security/compliance adherence. Experience & Skills (Mandatory) Strong knowledge and experience in Generative AI/LLM-based solutions. Strong experience working with key LLM models APIs (e.g., AWS Bedrock, Azure Open AI/OpenAI) and LLM Frameworks (e.g., LangChain, LlamaIndex). Strong experience with cloud infrastructure for AI/Generative AI/ML. Experience with multi-agent architecture & frameworks and an understanding of multi-agent systems and their applications in complex, multi-step problem-solving scenarios. Expertise in building enterprise-grade, secure data ingestion pipelines for unstructured data – including indexing, search, and advanced retrieval patterns. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with an understanding of embedding spaces and their applications in semantic search and information retrieval. Knowledge and experience in building knowledge graphs in production. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), and expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Experience with security related to LLM integrations. Experience with implementing LLM guardrails at platform, agent, and application levels. Knowledge of training and fine-tuning Foundation Models, including multimodal inputs and outputs. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and all associated GenAI libraries and frameworks. Experience with LLM monitoring and observability. Experience in LLM Testing and Evaluation. YOU'LL WORK WITH Your Gen AI Platform team members, PO, and Chapter Lead. You will also work with other Domain Architects in Cloud and Platform Engineering Portfolio, by setting their direction, establishing objectives and key results, working on the staffing and development of your chapter, and ensuring that you maximize outputs and working products. Portfolio Lead Architect, Enterprise Architects, Technical Area Leads, Product Owners, and Chapter Leads. Agile Coaches and Scrum Masters, who will ensure that you adopt agile principles, mindset, and ways of working into your daily routine and who will coach you during the transformation.

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