Ai Engineer

2 days ago

Tamil Nadu, India LTIMindtree Full time

Tech Stack: Predictive Analysis 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 . Architect end-to-end GenAI solutions for R&D use cases such as formulation assistance, scientific literature summarization, and regulatory compliance . 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 . 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 . Identify and address edge cases such as ambiguous queries, hallucinations, data sparsity, and multilingual inputs . Design monitoring and feedback loops to continuously improve model performance and reliability. Collaborate with R&D scientists, IT teams, and business leaders to align solutions with strategic goals. Communicate complex AI concepts in business-friendly language . 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 . 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 . ~ Bachelor’s/Master’s in Computer Science, Engineering, or related field.

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