AI Solutions Architect

5 days ago


tiruppur, India beBeeGenerative Full time

Generative AI Engineer Job DescriptionJob OverviewWe are seeking a skilled and innovative Generative AI Engineer to join our team.This role demands deep expertise in Generative AI, strong architectural thinking, and the ability to evaluate alternative solutions, justify technology choices, and anticipate edge cases in complex enterprise environments.ResponsibilitiesSolution Design & EvaluationArchitect end-to-end GenAI solutions for R&D use cases such as formulation assistance, scientific literature summarization, and regulatory compliance.Evaluate multiple solution approaches (e.g., fine-tuning vs. RAG, cloud-native vs. hybrid deployment) and recommend optimal paths based on scalability, cost, and data sensitivity.Document architectural decisions with rationale, trade-offs, and risk assessments.Handle diverse data sources: Word, Excel, PDF, databases, audio, video, structured & unstructured data.Provide POV on implementing use cases via Agentic AI.Technology Stack SelectionSelect and justify GenAI frameworks (e.g., OpenAI, Azure OpenAI, Hugging Face Transformers, LangChain) based on use case fit, latency, cost, and integration capabilities.Recommend cloud platforms (Azure) and orchestration tools (e.g., Kubernetes, Airflow) for scalable deployment.Ensure compatibility with enterprise systems like SAP PLM, LIMS, and SharePoint.Edge Case Handling & RobustnessIdentify and address edge cases such as ambiguous queries, hallucinations, data sparsity, and multilingual inputs.Implement fallback mechanisms, confidence scoring, and human-in-the-loop workflows.Design monitoring and feedback loops to continuously improve model performance and reliability.Governance & ComplianceEnsure solutions adhere to data governance, privacy, and regulatory standards.Define model auditability, explainability, and ethical AI practices.Innovation & Capability BuildingStay current with GenAI advancements and emerging tools.Mentor teams on prompt engineering, LLM fine-tuning, and responsible AI.Contribute to internal knowledge bases and reusable solution assets.



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