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- Tasks: Design and implement cutting-edge AI solutions for enterprise-scale projects.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Enjoy a generous benefits package, including a pension scheme and up to 31.5 days holiday.
- Why this job: Make a real impact in the AI field while working with top-tier technologies.
- Qualifications: Masters/PhD in Computer Science or relevant experience in AI/ML.
- Other info: Flexible location options within the UK and a strong learning culture.
The predicted salary is between 48000 - 84000 £ per year.
We are 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 will 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 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 is 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
- 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 management, AWS, Infrastructure, Web Services, JQuery, Java, Computer Engineering, Solutions design, Technical Solutions, Analytics
Experience years: Vacancy 1
AI Solution Architect for Commercial in Manchester employer: Syngenta Group
Contact Detail:
Syngenta Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solution Architect for Commercial in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving AWS SageMaker and Databricks. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex AI concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us. Plus, it shows you're genuinely interested in being part of our team.
We think you need these skills to ace AI Solution Architect for Commercial in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in AI/ML, AWS SageMaker, and Databricks, as these are key for us at StudySmarter.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI solutions and how your background makes you the perfect fit. Be sure to mention any relevant projects or achievements that showcase your technical leadership.
Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! Include specific examples of how you've implemented AI solutions or managed MLOps practices in previous roles. This will help us see your hands-on experience.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with StudySmarter!
How to prepare for a job interview at Syngenta Group
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML technologies, especially those mentioned in the job description like AWS SageMaker, Databricks, and generative AI models. Be ready to discuss your hands-on experience with these tools and how you've applied them in real-world scenarios.
✨Architectural Vision is Key
Prepare to showcase your strategic architectural vision. Think about how you would integrate AI solutions with existing business systems. Have examples ready that demonstrate your ability to design scalable ML infrastructure and implement MLOps practices effectively.
✨Speak Their Language
Familiarise yourself with the specific terminology used in the job description, such as 'prompt engineering', 'LangChain', and 'Agentforce'. Use these terms during the interview to show that you understand the nuances of the role and can communicate effectively with technical teams.
✨Showcase Leadership Skills
Since this role involves leading cross-functional teams, be prepared to discuss your leadership experiences. Share examples of how you've translated complex technical concepts for non-technical stakeholders and led teams to successful project completions.
