Senior Product Tech Lead AI Solutions Remote (h/f)

emagine Consulting SARL
1 month ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

Java
Artificial Intelligence
Azure
C Sharp (Programming Language)
Information Engineering
Data Governance
Python
Salesforce
SAP Applications
Software Engineering
Systems Integration
Information Technology
Enterprise Integration

Job description

emagine is seeking a talented and experienced AI Software Engineer to lead the creation of scalable, modular, and sustainable AI architectures within a dynamic startup-style team. You'll collaborate with cross-functional experts to deliver cutting-edge solutions in an Azure-based cloud environment, integrating seamlessly with enterprise platforms like SAP and Salesforce.

Key Tasks & Deliverables:

  • Define and own the technical architecture of AI-driven solutions, ensuring performance, scalability, and enterprise integration.
  • Lead and mentor a multidisciplinary team of engineers and data scientists, promoting best practices across design, coding, testing, and deployment.
  • Oversee development of AI-centric functionalities using Azure OpenAI Services, MS Fabric, and modern operations pipelines.
  • Ensure smooth integration with enterprise systems and uphold standards in security, ethics, and data governance.
  • Collaborate closely with Product Owners and stakeholders to translate business needs into robust technical solutions.

Requirements

Are you a Senior Product Tech Lead with a strong background in AI-powered solution architecture and technical leadership?, * 10+ years in software engineering and solution architecture, including 3+ years in a technical leadership role.

  • Strong expertise in Python; proficiency in C#, Java, or Scala is a plus.
  • Proven experience designing and delivering AI-powered or data-driven applications.
  • Deep understanding of scalable, modular AI architectures aligned with enterprise strategy.
  • Experience with Azure cloud services, Azure OpenAI, MS Fabric, and enterprise system integration (SAP, Salesforce).
  • Master's degree (or equivalent) in Computer Science, Data Engineering, or a related field.

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