AI Lead/Architect

Experience: 5+ years
Industry: Banking & Finance
Location: Hybrid from Wrocław, Poland (3 days per week in the office)
Start Date: ASAP
 

Technical Requirements

Must-have:

  • Proven experience in designing and developing software solutions using modern architectures and technologies
  • Proficiency in Azure AI services, with a strong understanding of real-world implementation challenges
  • Hands-on experience with Generative AI frameworks and tools, including:
    • OpenAI Python SDK
    • LlamaIndex
    • Semantic Kernel
    • LangChain
    • Microsoft Guidance
    • Experience in delivering RAG-based projects in Azure environments
  • Knowledge of Data Mesh Architecture (decentralized data management principles and best practices)
  • Expertise in API orchestration for seamless data integration and flow
  • Strong understanding of Data Governance (Data Catalogs, Data Lineage, Master Data Management)
  • Proficiency in Python programming
  • Solid knowledge of Large Language Models (LLMs) and their applications
  • Understanding of Software Development Life Cycle (SDLC) and AI Life Cycle (AILC)
  • Fluent English

Nice-to-have:

  • Client-facing expertise, with the ability to communicate insights, provide guidance, and offer thought leadership
  • Prior consulting experience in AI/ML or technology, with a history of successful client advisory roles
  • Strong hands-on programming skills in Python and Java
  • Experience with SQL and NoSQL databases

Required Technical Skills:

  • Microsoft Azure
  • OpenAI Python SDK
  • LlamaIndex, Semantic Kernel, LangChain
  • Data Mesh
  • LLM
  • SDLC

Preferred Technical Skills:

  • Python / Java
  • SQL
  • Oracle NoSQL

Key Responsibilities:

  • Design architectures, integrations, and solutions for GenAI Proof of Concepts (POCs)
  • Develop data processing architectures, models, and pipelines
  • Build scalable GenAI POC solutions with agentic integrations, ensuring compliance and interoperability
  • Provide technical leadership for AI POCs, driving experimentation and prototype development
  • Manage GenAI POC projects, aligning business and technical needs while applying various AI domains (ML, DS, GenAI)
  • Support Azure/data solutions, migrations, and governance strategies
  • Develop and optimize Master Data Management strategies
  • Plan and execute database and data warehouse migrations to Azure or cloud-agnostic modern platforms
  • Offer technical guidance on Data/Azure solutions and provide pre-sales support to clients and internal teams
  • Collaborate with client architects and senior technical management as a subject matter expert (SME)
  • Establish a strong industry presence to position the organization as a leader in data-driven solutions

 

Let me know if you need any refinements! 🚀

Published 26 February
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