Colombo
About the Role
We are seeking a highly motivated Associate Architect – AI Solutions to support the design, development, and implementation of enterprise-scale AI solutions. This role acts as a key contributor in bridging business requirements with technical AI capabilities, working closely with Data Scientists, Engineers, and business stakeholders to deliver scalable and production-ready AI systems.
You will play a critical role in supporting AI architecture design, developing intelligent solutions, and ensuring alignment with enterprise technology frameworks.
The Job
· Support the design and implementation of end-to-end AI and machine learning solutions aligned with business needs
· Collaborate with stakeholders to understand requirements and translate them into technical AI architectures
· Assist in developing architectural blueprints, including data pipelines, model workflows, and deployment strategies
· Work closely with Data Science and ML Engineering teams to ensure efficient model development and integration
· Contribute to AI platform design, including cloud-based and scalable AI infrastructure
· Support experimentation and adoption of emerging AI technologies, including Generative AI and LLMs
· Ensure compliance with governance, data privacy, and security standards in AI implementations
· Identify opportunities to optimize performance, scalability, and efficiency of AI solutions
· Participate in code reviews, testing, and validation of AI models and systems
The Person
· Bachelor’s Degree in AI, Data Science, Computer Science, Engineering, IT, or a related field
· A Master’s Degree or relevant certifications in AI/ML
· 5+ years of experience in AI/ML, data engineering, or solution architecture
· Hands-on experience in developing enterprise level AI Solution Architect.
· Hands-on experience in building and deploying machine learning solutions
· Knowledge of AI/ML frameworks such as TensorFlow, PyTorch, or similar
· Understanding of data pipelines, model lifecycle management, and cloud platforms (AWS, Azure, or GCP)
· Familiarity with microservices architecture and API integration
· Experience working with large datasets, data preprocessing, and analytics platforms
· Exposure to Generative AI, LLMs, or advanced AI architectures is a plus
· Strong analytical and problem-solving skills
· Ability to work collaboratively across cross-functional teams
· Good communication skills with the ability to translate business requirements into technical solutions
· Eagerness to learn and stay updated with emerging AI trends