Specialist Software Architect

So,what’stheroleall about?

AI Architect

How will you make an impact?

• Build scalable AI systems and infrastructure

  capable of handling large datasets, ensuring performance, reliability, and maintainability.
• Lead the development of secure, compliant data and machine learning pipelines, ensuring alignment with data governance and regulatory standards such as GDPR.
• Design, develop, and implement AI models and algorithms to solve real-world business problems, contributing to both proof-of-concept (POC) and production-grade solutions.
• Mentor and guide team members on AI technologies, best practices, and system architecture, fostering a culture of continuous learning and innovation.
• Collaborate with cross-functional stakeholders to identify opportunities for AI-driven innovation and translate business requirements into technical solutions.
• Establish and promote ethical and responsible AI practices across the organization.
• Take

  ownership of strategic decisions related to AI deployment, architecture, and lifecycle management.

• Conduct research and implement appropriate machine learning algorithms, including

  Retrieval-Augmented Generation (RAG) techniques and integration with Vector Databases

  .
• Develop and maintain AI applications using modern frameworks (

  e.g., TensorFlow, PyTorch, LangChain, Haystack)

  , and run experiments to evaluate and improve model performance.
• Define and implement

  AI project Software Development Lifecycle (SDLC) processes, including versioning, testing, validation, and monitoring strategies.

• Ensure AI systems are secure, scalable, and aligned with the company’s business strategy and compliance requirements.
• Stay current with advancements in AI, machine learning, and data engineering to continuously enhance system capabilities.

Have you got what it takes?

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Proven experience as an AI Architect or in a similar senior AI/ML role, with a track record of deploying multiple AI solutions in production.
• Strong expertise in AI/ML technologies, including experience with

  RAG architectures and Vector Databases.

• Proficiency in cloud platforms such as

  Azure

  or

  AWS

  , with hands-on

  experience in deploying enterprise-grade AI solutions

  .

• Must have hands-on experience in securely integrating AI solutions across cross-functional teams, with strong expertise in Azure cloud security best practices and implementation.

• Solid understanding of building and managing secure,

  scalable data and ML pipelines

  , with knowledge of data security governance and compliance (e.g., GDPR).
• Proficiency in programming languages such as

  Python

  ,

  .NET

  , or similar, and familiarity with AI/ML frameworks and libraries.
• Experience with AI project SDLC, including

  model versioning, CI/CD for ML, and AI testing

  strategies.
• Familiarity with DevOps and Data Engineering tools and practices.
• Strong analytical and problem-solving skills, with the ability to work collaboratively in a fast-paced environment.
• Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
• Demonstrated commitment to continuous learning and staying up to date with the latest AI trends and technologies.

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! 

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. 

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