AI Solution Engineer

Role purpose

The role will design, develop, and implement cutting-edge AI solutions that drive business value while ensuring technical excellence, scalability, and innovation in solving complex business challenges.

Accountabilities

• Developing and implementing innovative AI models / applications and solutions
• Data preprocessing, model training, and evaluation tasks
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
• Stay up to date on latest trends and new technologies in the AI space, evaluate their potential to introduce into our ecosystem based on their potential impact.

Knowledge, experience & capabilities

• Degree in Computer Science, AI, ML, Data Science, Engineering, or related fields.
• Strong interest in artificial intelligence, machine learning, Generative AI, LLMs, prompt engineering.
• Proficiency in programming languages such as Python
• Good understanding of front-end technologies like HTML/ CSS
• Good understanding of AWS cloud architecture including Sagemaker and Bedrock
• Knowledge of SAP is preferred
• Ability to use identify and re-use GitHub projects to solve business problems
• Excellent analytical and problem-solving skills.
• Effective communication and teamwork abilities.

Critical success factors & key challenges

• Strong algorithm design, logical and reasoning skills
• Ability to deliver POCs, MVPs, Experiments, technology evaluations following design thinking practices
• Ability to orchestrate efforts needed to prioritize business initiatives across complex change agendas
• Excellent communication and stakeholder management skills to explain technical information to individuals who dont have the same technical background
• Problem solving and decision-making skills
• Teamwork, team management and leadership skills

Innovations

Employee may, as part of his/her role and maybe through multifunctional teams, participate in the creation and design of innovative solutions. In this context, Employee may contribute to inventions, designs, other work product, including know-how, copyrights, software, innovations, solutions, and other intellectual assets.

Degree in Computer Science, AI, ML, Data Science, Engineering, or related fields.