Company Description Syngenta is one of the world s leading agriculture innovation company Part of Syngenta Group dedicated to improving global food security by enabling millions of farmers to make better use of available resources Through world class science and innovative crop solutions our 60 000 people in over 100 countries are working to transform how crops are grown We are committed to rescuing land from degradation enhancing biodiversity and revitalizing rural communities A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture Our employees reflect the diversity of our customers the markets where we operate and the communities which we serve No matter what your position you will have a vital role in safely feeding the world and taking care of our planet To learn more visit www syngenta com Accountabilities AI Solution Architecture Implementation Architect production-ready AI solutions integrating generative models with enterprise systems Design intelligent workflows combining generative AI computer vision and speech recognition Build hybrid architectures merging rule-based logic with LLMs Develop scalable Agentic AI implementations using AWS Bedrock and Langgraph platforms Create data pipelines feature stores and model serving architectures Advanced LLM Integrations Implement advanced prompt engineering chain-of-thought zero-shot few-shot learning constitutional AI Build sophisticated RAG systems with vector databases Design agentic AI using function calling tool use and autonomous frameworks LangChain LlamaIndex Deploy custom generative applications via Gen AI Platforms and Assistants API Develop multi-modal solutions GPT for vision DALL-E images Whisper speech Codex code MLOps Production Deployment Deploy high throughput inference systems with auto-scaling on SageMaker Endpoints Implement CI CD pipelines for AI using SageMaker Pipelines and Databricks Workflows Build monitoring systems model drift detection performance analytics cost optimization Ensure AI security prompt injection prevention adversarial robustness PII protection Data leakage Establish model governance version control audit trails compliance frameworks Technical Leadership Strategy Lead AI transformation initiatives with clear KPIs and success metrics Mentor engineers and data scientists on AI best practices and architectural patterns Research and pilot emerging AI technologies and frameworks Develop AI governance frameworks addressing ethics bias mitigation and responsible AI Create ROI models and business cases for AI investments Create execute and enforce solutions blueprint Knowledge experience capabilities Required Master s PhD in Computer Science AI ML specialization or Data Science or related field 7 years enterprise software development solution engineering or AI ML consulting 3 years production experience with Large Language Models and generative AI 2 years hands-on experience with AWS Bedrock training deployment pipelines feature store 2 years hands-on experience with Langgraph LangChain Bedrock or Agentic AI frameworks Proven track record delivering complex AI projects from conception to production Preferred AWS Certified Solutions Architect Professional or Machine Learning Specialty OpenAI API certification or equivalent demonstrated expertise Agentic AI Technical Expertise - Agent Design Patterns Expertise in architecting multi-agent systems with clear role definitions communication protocols and coordination strategies implementing ReAct Reasoning Acting Plan-and-Execute and Reflection patterns and designing stateful agent workflows using LangGraph with checkpointing error handling and fallback mechanisms Knowledge Context Management Proficient in designing RAG architectures for agent knowledge access including chunking strategies embedding selection retrieval optimization and context window management implementing agent memory systems short-term long-term semantic and episodic memory and creating knowledge base governance for version control access policies and content validation Agent Observability Governance Skilled in establishing monitoring and evaluation frameworks for agent performance accuracy latency and cost implementing responsible AI controls including bias detection hallucination mitigation PII protection and content filtering and creating feedback loops for continuous agent improvement and human-in-the-loop validation Business Leadership Skills Translate complex AI concepts into business value for C-level executives Lead cross-functional teams 3-8 engineers architects Conduct architecture reviews and drive technical decision-making Facilitate workshops design sprints and requirements gathering Build trusted advisor relationships with stakeholders Develop business cases with ROI projections and risk assessments 7 years of hands-on experience in AI ML engineering or related roles Proven track record of deploying models to production environments Proficiency in Python Excelent understanding of AWS cloud architecture including Sagemaker and Bedrock Ability to use identify and re-use GitHub projects to solve business problems Experience working with cross-functional teams and translating business needs into technical solutions Demonstrated ability to manage multiple projects and deliver results in agile environments Qualifications Bachelor s or Master s degree in informatics computer science or a related AI field Additional Information Note Syngenta is an Equal Prospect Employer and does not discriminate in recruitment hiring training promotion or any other employment practices for reasons of race color religion gender national origin age sexual orientation gender identity marital or veteran status disability or any other legally protected status Follow us on Twitter LinkedIn https twitter com SyngentaAPAC https www linkedin com company syngenta India page https www linkedin com company 70489427 admin

📌 Ai Engineer (Maharashtra)
🏢 Syngenta Group
📍 Maharashtra