For one our clients based in Czech Republic, we are currently looking for a GenAI Solution Architect. The team would be supporting the development of assets (e.g., plugins) to further drive the AI strategy and put it into practice.

Details:

• Role: GenAI Solution Architect
• Location:  Remote with possible occasional in person team sessions / workshops / gatherings (i.e. 1x quarter) likely to take place in Prague
• Working overlap needed: 9-6/10-7 CET possibility of a wider overlap (flexibility) appreciated
• Start: asap
• Duration: 6 months+ extension
• HackerRank challenge: Yes

Scope:

The long term goal is to deliver the firm's new strategy to tax solutions / automations. Ideal candidates would have a tax domain knowledge and tax tech experience, yet not a mandatory requisite for applicants.

• AI Architecture in Cloud Environments:
• Establish the technical vision, direction, and solution approach for client’s data solutions, with a focus on new tools and capabilities in generative AI
• Support concept development, architecture, and design planning/estimation
• Deep dive into AI solution architecture, data architecture, data management and warehousing, ETLs, data governance, and data versioning
• Collaborate with cloud engineers to ensure seamless integration and deployment of AI models
• Utilize cloud-native tools and services to enhance AI capabilities
• Ensure that LLM deployments are scalable, efficient, and secure
• AI Ethics and Responsible AI Practices:
• Integrate ethical considerations and bias mitigation strategies into AI development processes
• Promote and ensure responsible AI practices across all projects
• Stay updated on AI ethics guidelines and industry best practices
• Stakeholder Communication and Requirement Gathering:
• Collaborate with stakeholders to understand business needs and translate them into technical requirements
• Communicate complex technical concepts to non-technical stakeholders effectively
• Provide regular updates and insights on AI project progress and outcomes

Requirements:

• Lead with 8+ years of relevant experience
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
• Strong previous experience working in a data architecture and data-driven role
• Understanding of what makes sense to be used for specific scenarios and use cases from an architecture perspective, while considering also cost efficiency of the proposed architecture
• Knowledge of various patterns and standards, how to design scalable, secured and high performing architectures
• Cloud-ready AI architectures utilizing Azure infrastructure and platform cloud services
• Ability to analyze complex data requirements and translate them into effective data management solutions
• Understanding of the whole ML lifecycle and experience with MLOps/DataOps
• Experience with development using agile methodologies like Scrum or Kanban
• In-depth knowledge of AI ethics, bias mitigation, and responsible AI practices
• Strong problem-solving skills and attention to detail
• Excellent communication skills with the ability to engage stakeholders and gather requirements; fluent English