The role combines solution architecture leadership with deep expertise in GenAI application design, agentic systems, and AI cloud architecture on AWS and Snowflake....Productionization, Engineering & Governance
• Collaborate with Data Engineering, Platform Engineering, DevOps, and Security teams to productionize AI and GenAI solutions in scalable cloud environments.
• Design CI/CD and automation patterns for model deployment, prompt/version management, testing, release control, and operational support.
• Implement monitoring for model drift, prompt drift, performance degradation, usage patterns, system health, and data integrity.
• Support governance, risk management, and responsible AI initiatives by embedding security, privacy, compliance, and auditability into solution design.
• Innovation & Technical Leadership
• Stay current with advancements in foundation models, multimodal AI, agent frameworks, orchestration patterns, and cloud-native AI services.
• Provide architecture guidance, design reviews, and technical mentorship across cross-functional teams.
• Contribute to enterprise-wide AI best practices, reusable frameworks, and...Qualifications & Experiences:
• Bachelor's degree, Master's degree, or higher in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline.
• 8+ years of relevant experience in solution architecture, data science, machine learning, or AI engineering, with at least 2+ years of experience in Generative AI / LLM-based solutions.
• Demonstrated track record of designing and delivering production-grade AI/ML/GenAI solutions with measurable business impact.
• Strong experience in architecting enterprise AI solutions across business workflows, data ecosystems, and cloud platforms.
• Hands-on expertise in building and scaling GenAI and LLM applications, including prompt engineering, RAG architectures, semantic search, embeddings, and evaluation frameworks.
• Experience designing or supporting agentic AI systems, including orchestration, tool usage, memory, guardrails, and human oversight patterns.
• ...Generative AI & Large Language Model (LLM) Expertise
• Hands-on experience designing and deploying Generative AI solutions using large language models (e.g., GPT-class models, open-source foundation models, or enterprise LLM platforms).
• Strong proficiency in prompt engineering, structured output design, few-shot learning strategies, and systematic prompt optimization.
• Experience building Retrieval-Augmented Generation (RAG) pipelines integrating vector databases and enterprise data sources.
• Familiarity with embedding models, semantic search, and vector stores (e.g., Pinecone, Weaviate, OpenSearch, FAISS, or equivalent).
• Experience fine-tuning or adapting foundation models using parameter-efficient approaches (e.g., LoRA, adapters, instruction tuning).
• Understanding of LLM evaluation methodologies, including hallucination detection, bias assessment, response quality scoring, and cost-performance trade-offs.
• Exposure to multimodal AI (text, image, audio, video) and a