Hard Skills Technical Proficiency · Proven experience in Chatbots, Generative AI, or NLP systems.
· Strong system design and programming skills.
· Knowledge of cloud platforms (AWS, Azure, Google Cloud) and their respective AI services.
· Experience with data analysis and processing tools.
System Design & Integration · Proficiency in designing scalable AI architectures with a focus on system reliability and security.
· Hands-on experience in integrating disparate systems using APIs or middleware.
· Deep understanding of data preprocessing techniques, feature engineering, and data governance principles.
Deployment & Operations · Experience with scalable SaaS solutions · Familiarity with deployment tools like Kubernetes or Docker for managing production environments.
Soft Skills · Strategic Thinking: Ability to align technical solutions with business goals to create impactful outcomes.
· Problem-Solving & Analytical Skills: Aptitude for breaking down complex problems into actionable tasks and devising innovative solutions.
· Communication Skills: Ability to articulate technical concepts clearly to non-technical stakeholders.
Effective collaboration with cross-functional teams to ensure alignment between technical execution and business objectives.
Qualifications · Bachelors or Masters degree in Computer Science, Data Science, or a related field.
· Experience in deploying generative AI models or working with large language models (LLMs).
· Fluency in English Role Overview The AI Solution Architect will define and implement cutting-edge AI solutions for Sigga, focusing on enabling Chatbot functionalities, Custom Knowledge Base (KB) access via Generative AI, and Actionable AI to optimize industrial business processes.
This role requires a blend of technical expertise, solution design and strategic vision, to ensure the seamless integration of AI technologies into existing systems while aligning with business objectives.
Key Responsibilities Solution Design & Architecture · Design end-to-end AI solutions tailored to Siggas needs, including Chatbot implementation and Generative AI for industrial workflows.
· Design scalable, secure, and efficient AI architectures that integrate seamlessly with existing IT infrastructure.
· Translate business requirements into technical specifications and actionable plans.
· Work on business and technical meetings, perform demo & presentations.
AI Development & Integration · Oversee the development and deployment of chatbots, machine learning models and natural language processing (NLP) systems.
· Hands-on activities with the technical team, actively working with design, prototype, testing technologies and models.
Monitoring & Optimization · Deploy AI models into production environments and establish monitoring frameworks to ensure reliability and accuracy.
· Continuously refine AI models based on performance metrics and evolving business needs.
Compliance & Ethics · Ensure all AI implementations adhere to ethical guidelines, regulatory standards, security and data privacy laws.