The AI Solutions Lead will be responsible for:
- Architectural Leadership: Leading the design and architecture of AI solutions ensuring scalability maintainability and optimal performance.
- Technical Guidance: Collaborating with development teams to understand requirements and provide expert architectural guidance and support.
- Business Alignment: Working closely with Product and Business stakeholders to understand their needs and ensure the AI platform effectively meets user requirements.
- Cross-functional Collaboration: Partnering with cross-functional stakeholders to translate complex business requirements into robust technical solutions.
- Solution Definition: Defining clear implementation approaches algorithms and code structures for AI solutions.
- Successful Solution Delivery: Taking ultimate accountability for the successful end-to-end delivery of AI solutions ensuring they are implemented deployed and operationalized effectively meet defined business objectives adhere to architectural designs and quality standards and are delivered within project timelines.
- Technology Scouting: Staying abreast of the latest trends and emerging technologies in the AI space evaluating their potential impact and recommending their introduction into Syngentas ecosystem.
- Experience Architecture: Defining prototyping and recommending technology solutions detailing implementation designs and identifying interfaces for integration with other products.
Qualifications :
- Education:
- Degree in Computer Science AI ML Data Science Engineering or a related field.
- Experience:
- 4 years of progressive experience in designing architecting and leading the end-to-end delivery of complex AI/ML solutions in a cloud environment.
- Demonstrated expertise in AI/ML solution architecture including model development deployment MLOps (Machine Learning Operations) and scalable data pipelines.
- Proven experience with major cloud platforms (e.g. AWS Azure GCP) and their AI/ML services specifically in building and operationalizing AI solutions.
- Strong understanding of SQL and NoSQL databases and experience with data warehousing/data lake concepts relevant to AI/ML workloads.
- Experience with SAP fundamentals and SAP Joule or similar enterprise resource planning (ERP) systems particularly concerning data integration for AI solutions.
- Track record of successfully leading technical teams or projects demonstrating strong project delivery capabilities.
- Skills:
- Deep technical expertise in AI/ML concepts algorithms and frameworks.
- Proficiency in programming languages commonly used in AI/ML (e.g. Python R Java) for development prototyping and integration.
- Strong architectural design skills for building scalable robust and maintainable AI systems that meet performance and security requirements.
- Excellent analytical critical thinking and complex problem-solving abilities with a proven capacity to translate complex business challenges into effective AI solutions.
- Exceptional communication presentation and stakeholder management skills with the ability to articulate complex technical concepts clearly to diverse audiences (technical and non-technical).
- Ability to lead mentor and collaborate effectively within cross-functional and agile teams.
- Demonstrated ability to prototype evaluate and recommend new technologies and innovative AI solutions aligning with strategic business objectives.
Critical success factors & key challenges
- Solution Design Excellence: Demonstrating strong solution design logical thinking and reasoning skills.
- Prototyping & Evaluation: Ability to deliver Proofs of Concept (POCs) and Minimum Viable Products (MVPs) and conduct technology evaluations using design thinking practices.
- Strategic Prioritization: Orchestrating efforts to prioritize business initiatives across complex and evolving change agendas.
- Stakeholder Management: Excellent communication and stakeholder management skills including the ability to explain complex technical information to non-technical audiences.
- Problem Solving & Decision Making: Strong capabilities in problem-solving and decision-making.
- Team Leadership: Proven teamwork team management and leadership skills.
Additional Information :
We are a leading science-based agriculture company empowering farmers to meet the demands of modern agriculture. Using cutting-edge innovation we help farmers to grow resilient healthy crops that can feed a growing global population while promoting sustainable farming practices that protect and enhance our planet. Headquartered in Switzerland we are a global agritech leader with more than 30000 employees across over 90 countries.
Work :
No
Employment Type :
Full-time
The AI Solutions Lead will be responsible for:Architectural Leadership: Leading the design and architecture of AI solutions ensuring scalability maintainability and optimal performance.Technical Guidance: Collaborating with development teams to understand requirements and provide expert architectura...
The AI Solutions Lead will be responsible for:
- Architectural Leadership: Leading the design and architecture of AI solutions ensuring scalability maintainability and optimal performance.
- Technical Guidance: Collaborating with development teams to understand requirements and provide expert architectural guidance and support.
- Business Alignment: Working closely with Product and Business stakeholders to understand their needs and ensure the AI platform effectively meets user requirements.
- Cross-functional Collaboration: Partnering with cross-functional stakeholders to translate complex business requirements into robust technical solutions.
- Solution Definition: Defining clear implementation approaches algorithms and code structures for AI solutions.
- Successful Solution Delivery: Taking ultimate accountability for the successful end-to-end delivery of AI solutions ensuring they are implemented deployed and operationalized effectively meet defined business objectives adhere to architectural designs and quality standards and are delivered within project timelines.
- Technology Scouting: Staying abreast of the latest trends and emerging technologies in the AI space evaluating their potential impact and recommending their introduction into Syngentas ecosystem.
- Experience Architecture: Defining prototyping and recommending technology solutions detailing implementation designs and identifying interfaces for integration with other products.
Qualifications :
- Education:
- Degree in Computer Science AI ML Data Science Engineering or a related field.
- Experience:
- 4 years of progressive experience in designing architecting and leading the end-to-end delivery of complex AI/ML solutions in a cloud environment.
- Demonstrated expertise in AI/ML solution architecture including model development deployment MLOps (Machine Learning Operations) and scalable data pipelines.
- Proven experience with major cloud platforms (e.g. AWS Azure GCP) and their AI/ML services specifically in building and operationalizing AI solutions.
- Strong understanding of SQL and NoSQL databases and experience with data warehousing/data lake concepts relevant to AI/ML workloads.
- Experience with SAP fundamentals and SAP Joule or similar enterprise resource planning (ERP) systems particularly concerning data integration for AI solutions.
- Track record of successfully leading technical teams or projects demonstrating strong project delivery capabilities.
- Skills:
- Deep technical expertise in AI/ML concepts algorithms and frameworks.
- Proficiency in programming languages commonly used in AI/ML (e.g. Python R Java) for development prototyping and integration.
- Strong architectural design skills for building scalable robust and maintainable AI systems that meet performance and security requirements.
- Excellent analytical critical thinking and complex problem-solving abilities with a proven capacity to translate complex business challenges into effective AI solutions.
- Exceptional communication presentation and stakeholder management skills with the ability to articulate complex technical concepts clearly to diverse audiences (technical and non-technical).
- Ability to lead mentor and collaborate effectively within cross-functional and agile teams.
- Demonstrated ability to prototype evaluate and recommend new technologies and innovative AI solutions aligning with strategic business objectives.
Critical success factors & key challenges
- Solution Design Excellence: Demonstrating strong solution design logical thinking and reasoning skills.
- Prototyping & Evaluation: Ability to deliver Proofs of Concept (POCs) and Minimum Viable Products (MVPs) and conduct technology evaluations using design thinking practices.
- Strategic Prioritization: Orchestrating efforts to prioritize business initiatives across complex and evolving change agendas.
- Stakeholder Management: Excellent communication and stakeholder management skills including the ability to explain complex technical information to non-technical audiences.
- Problem Solving & Decision Making: Strong capabilities in problem-solving and decision-making.
- Team Leadership: Proven teamwork team management and leadership skills.
Additional Information :
We are a leading science-based agriculture company empowering farmers to meet the demands of modern agriculture. Using cutting-edge innovation we help farmers to grow resilient healthy crops that can feed a growing global population while promoting sustainable farming practices that protect and enhance our planet. Headquartered in Switzerland we are a global agritech leader with more than 30000 employees across over 90 countries.
Work :
No
Employment Type :
Full-time
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