5+ years of experience in AI/ML, data engineering, or solution architecture. Please refer to the job advert for further information.
Associate Architect – AI Solutions
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
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