GenAI POC architecture, integrations, and solution design
Design data processing architectures, data models, and pipelines
Design scalable GenAI POC solutions and agentic integrations, ensuring compliance and integrating diverse systems
Project tech leadership for POCs, design and develop AI prototype, leading AI experimentation
Manage GenAI POC projects, aligning business and tech needs, AI Agents, and applying different AI domains (ML, DS, Gen AI)
Support Azure/data solutions, migrations, and governance strategies
Master Data Management strategies: design, discussion, optimization
Planning and execution of migration of databases and data warehouses to Azure or cloud-agnostic modern warehouses
Provide technical guidance in the Data / Azure space and pre-sales support to clients and internal teams
Cooperating with client’s architects and senior technical management as an SME
Provide a “track record” to credentialize GFT as a data-savvy organization
Requirements & Skills:
Experience in designing and building software solutions using modern architectures and technologies
Proficiency in utilizing Azure AI services, with a strong understanding of common challenges encountered in real-world implementations
Hands-on experience with Generative AI Frameworks and Tools as OpenAI Python SDK, LlamaIndex, Semantic Kernel, LangChain, and Microsoft Guidance with examples of projects successfully delivered using RAG, especially within Azure environments
Data Mesh Architecture – familiarity with decentralized data architecture principles and best practices
API Orchestration – proficiency in designing and implementing API strategies to enable smooth data flow and integration
Solid knowledge of Data Governance aspects (Data Catalogs, Data Lineage, Master Data Management, etc.)
Proficiency in Python
Strong understanding of LLMs and their applications
Understanding of Software Development Life Cycle (SDLC) and AI Life Cycle (AILC)
