AI Solution Architect for Commercial

Syngenta Group; Manchester; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading agricultural technology company is seeking an AI Solution Architect based in Manchester to enhance enterprise AI solutions. The ideal candidate will have expertise in AI/ML, AWS SageMaker, and Databricks. Responsibilities include designing scalable infrastructure, implementing generative AI models, and ensuring AI compliance. A robust understanding of modern AI technologies and strategic leadership is essential. This position offers a full-time employment opportunity with extensive benefits in an impactful work environment.

Benefits

Generous pension scheme

Bonus scheme

Private medical & life insurance

Up to 31.5 days annual holiday

Wide range of training options

Qualifications

• Massive work experience in enterprise software development or AI/ML consulting.
• Relevant production experience with Large Language Models.
• Deep expertise in foundation model development and deployment.
• Advanced knowledge of data engineering practices.
• Extensive experience with MLOps platforms.

Responsibilities

• Design enterprise AI solutions integrating with enterprise platforms.
• Build ML infrastructure on AWS SageMaker and Databricks.
• Create organizational AI technical solution blueprints.
• Establish model governance and compliance frameworks.
• Lead architecture reviews and technical decisions.

Skills

Business Process

VMware

Cloud

HTML5

Windows

Project management

AWS

Infrastructure

Web Services

JQuery

Java

Computer Engineering

Solutions design

Technical Solutions

Analytics

Education

Masters/PhD in Computer Science (AI/ML specialization)

Bachelors with relevant industry experience

Tools

AWS SageMaker

Databricks

MLOps platforms

Job description

Were 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. Youll 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

• Masters/PhD in Computer Science (AI/ML specialization) Data Science or related field (or Bachelors 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 :

Theres 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.

Remote Work

No

Employment Type

Full-time

Key Skills

• Business Process
• VMware
• Cloud
• HTML5
• Windows
• Project managements
• AWS
• Infrastructure
• Web Services
• JQuery
• Java
• Computer Engineering
• Solutions design
• Technical Solutions
• Analytics

Experience

years

Vacancy

1