Role: AI - Solution Architect
Location: Chennai
About Metayb
Metayb is a digital transformation company on a mission to transform seamlessly by empowering organisations to navigate the vast landscape of the digital-first era. Within just two year of inception, we have grown into a close-knit family of 450+ employees, each possessing rich field expertise.
Metayb focuses on fostering seamless customer experiences, enhancing operational efficiency & deriving actionable insights. By harnessing the power of emerging technologies, Metayb aims to be the unparalleled choice for global customers, delivering strategic goals effectively within a digital-first ecosystem of value creation.
Our key areas of expertise lie in Digital Transformation, Data Science, SAP Implementation, Workflow Automation, Dashboarding, Visualization, Finance, and Supply Chain Services. We strongly aspire to venture into IoT, AI/ML & Virtual Reality. Metayb endeavours to be best-in-class across digital solutions, infrastructure, and product engineering.
Our prestigious clientele includes Tolaram, Kellogg Tolaram, Colgate Tolaram, Arla, Lucky Fibres, Dufil, Multipro, BHN, and many more.
If you are passionate about digital transformation, seek to work with cutting-edge technologies, and wish to be part of a dynamic team dedicated to excellence, Metayb is the place for you!
Role Overview
We are seeking an experienced AI - Solution Architect to design, architect, and lead the implementation of enterprise AI solutions for the FMCG/CPG business. This role will be responsible for defining scalable AI solution architectures across demand forecasting, supply chain, trade promotion, pricing, customer analytics, and other business functions while ensuring seamless integration with enterprise platforms. The ideal candidate will collaborate with business, data science, engineering, and technology teams to translate business requirements into scalable, secure, and high-performing AI solutions.
Key Responsibilities
- Design scalable and secure enterprise AI/ML solution architectures aligned with business objectives.
- Define AI solution architecture standards, integration patterns, and technical best practices.
- Architect high-impact AI solutions across demand forecasting, trade promotion, sales, maintenance, customer experience, and finance.
- Collaborate with Data Science, Data Engineering, Business, and IT teams to deliver end-to-end AI solutions.
- Design AI architectures across cloud platforms and SAP ecosystems.
- Define and implement MLOps architecture for model deployment, monitoring, scalability, and lifecycle management.
- Work with business stakeholders to translate business challenges into scalable AI solution designs.
- Ensure AI solutions meet performance, security, governance, and scalability requirements.
Experience
- 8–15+ years of experience in AI/ML, Advanced Analytics, Data Science, or AI Solution Architecture.
- Minimum 5+ years of experience designing and implementing enterprise AI/ML solution architectures.
- Proven experience architecting enterprise AI platforms and large-scale AI transformation initiatives.
- Strong background in FMCG/CPG, Manufacturing, Supply Chain, or Distribution environments.
Technical Expertise
- Advanced proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud AI platforms (Azure ML, AWS SageMaker, or equivalent).
- Strong understanding of MLOps architecture, model governance, deployment, monitoring, and lifecycle management.
- Experience integrating AI solutions with SAP S/4HANA and enterprise data platforms.
- Strong understanding of enterprise architecture, data engineering pipelines, APIs, and BI ecosystems.
- Experience designing scalable AI platforms and enterprise integration frameworks.
- Proficient in GenAI applications and enterprise AI solution architecture (desirable).
Leadership & Business Skills
- Strong solution architecture and technical leadership skills with the ability to align AI architectures to business objectives.
- Excellent communication and stakeholder management skills, with the ability to collaborate with business leaders, architects, engineering teams, and technology partners.
- Ability to provide technical guidance, architecture governance, and best practices across AI initiatives.
Success Metrics (12–24 Months)
- Design and establish enterprise AI solution architecture standards and governance.
- Successfully architect and implement a minimum of 5 enterprise-scale AI solutions with measurable business impact.
- Establish standardized MLOps architecture across enterprise AI initiatives.
- Develop scalable AI architecture blueprints and reusable solution frameworks.
- Enable enterprise-wide adoption of scalable, secure, and high-performing AI solutions.
Disclaimer
The job title mentioned in this description is generic and intended for broad categorization purposes. The final designation will be determined based on the candidate's performance during the interview process, relevant experience, and alignment with the organizational hierarchy.
