Generative AI Engineer

1 day ago

Tamil Nadu, India LTIMindtree Full time

Job Title: GenAI Solution Architect Location: PAN India Tech Stack: Predictive Analysis Job Summary We are seeking a strategic and hands-on GenAI Solution Architect to lead the design and implementation of a digital assistant tailored for FMCG R&D functions . 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 . Key Responsibilities Solution Design & Evaluation Architect 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 Selection Select 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 & Robustness Identify 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. Stakeholder Engagement Collaborate with R&D scientists, IT teams, and business leaders to align solutions with strategic goals. Lead workshops to gather requirements, validate prototypes, and drive adoption . Communicate complex AI concepts in business-friendly language . Governance & Compliance Ensure solutions adhere to data governance, privacy, and regulatory standards . Define model auditability, explainability, and ethical AI practices . Innovation & Capability Building Stay 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 . Required Qualifications 10+ years in solution architecture, with 3+ years in AI/ML and 2+ years in GenAI . Proven experience in evaluating and implementing GenAI solutions in enterprise settings . Strong understanding of LLMs, RAG, prompt engineering, and model deployment . Experience in FMCG, life sciences, or R&D domains preferred. Proficiency in Python, cloud platforms, and ML frameworks . Excellent analytical, communication, and stakeholder management skills . Bachelor’s/Master’s in Computer Science, Engineering, or related field. If you fine this relevant, please email me your details along with your updated CV -

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