AI Solution Architect for Commercial at Syngenta Group

Manchester, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

13 Apr, 26

Salary

0.0

Posted On

13 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Solution Architect, Machine Learning, AWS, Databricks, Generative AI, Salesforce, MLOps, LangChain, Prompt Engineering, Data Engineering, Model Governance, CI/CD Pipelines, Technical Leadership, Foundation Model Development, Enterprise Architecture, AI Security

Industry

Farming

Description

Company Description Syngenta Group, a global leader in agricultural technology and innovation, employs 60,000 people across more than 100 countries to transform agriculture through tailor-made solutions for farmers, society, and our planet. Our diverse portfolio encompasses seeds, crop protection, nutrition products, agronomic solutions, and digital services, all designed to help farmers produce healthy food, feed, fiber, and fuel while conserving natural resources and protecting the environment. Our mission is to address critical challenges such as climate change and food security through sustainable practices and cutting-edge solutions, while safeguarding the planet's resources. Job Description We're seeking an AI Solution Architect to drive the design and implementation of enterprise-scale artificial intelligence solutions. This role combines deep technical expertise in AI/ML with strategic architectural vision, focusing on integrating generative AI models with Salesforce, AWS, Databricks, and critical business systems. The ideal candidate will architect scalable ML infrastructure using AWS SageMaker and Databricks, while implementing cutting-edge LLM solutions and autonomous AI frameworks. You'll be responsible for establishing robust MLOps practices, ensuring cost optimization, and maintaining compliance with AI regulations. This position requires expertise in modern AI technologies, including prompt engineering, LangChain, and Salesforce Agentforce, along with a strong foundation in enterprise architecture and technical leadership. Responsibilities/accountabilities will also include: • Design and implement enterprise AI solutions integrating with enterprise platforms • Build ML infrastructure on AWS SageMaker and Databricks platforms • Design autonomous AI systems using LangChain, LlamaIndex, and AutoGPT • Architect and deploy enterprise Agents with Agentforce, N8N, AgentCore solutions with custom Integrations • Create and enforce organizational AI technical solution blueprints • Design cross-environment authentication frameworks • Manage AI infrastructure costs and regulatory compliance • Establish model governance and compliance frameworks • Implement comprehensive CI/CD pipelines for AI • Lead architecture reviews and technical decisions Qualifications and required experience Master's/PhD in Computer Science (AI/ML specialization), Data Science, or related field (or Bachelor's with relevant industry experience) Massive work experience in enterprise software development, solution engineering, or AI/ML consulting Relevant production experience with Large Language Models and generative AI and hands-on experience with AWS SageMaker and/or hands-on experience with Databricks Extensive experience with MLOps platforms including SageMaker Pipelines, Model Registry, and Feature Store implementation at enterprise scale Deep expertise in foundation model development, fine-tuning, and deployment using AWS Bedrock and related technologies Advanced knowledge of data engineering practices including Delta Lake, Spark optimization, and enterprise-grade streaming architecture Expert-level Salesforce architecture experience, including multi-org deployment strategies, data model optimization, complex integration patterns, and enterprise security implementation including Shield Platform Encryption and AI security protocols Deep expertise in Generative AI and LLM systems, including advanced prompt engineering, RAG architecture with multi-stage retrieval, vector database optimization, and comprehensive LLM security testing and safety implementations Proven track record in strategic AI leadership, including translating technical concepts for C-level stakeholders, leading cross-functional teams (5-15 engineers, data scientists, architects) and developing comprehensive business cases with ROI analysis Additional Information There’s a preference for the role to be based in Manchester but other locations within the UK can be considered. What we offer Extensive benefits package including a generous pension scheme, bonus scheme, private medical & life insurance. Up to 31.5 days annual holiday. We offer a position which contributes to valuable and impactful work in a stimulating and international environment. Learning culture and wide range of training options.

Responsibilities

The AI Solution Architect will design and implement enterprise AI solutions, integrating with various platforms and building ML infrastructure. Responsibilities also include establishing MLOps practices and managing AI infrastructure costs and compliance.