Senior AI Solution Engineer

Temenos powers a world of banking that
creates opportunities for billions of people and businesses everywhere. We have
been doing this for over 30 years through the pioneering spirit of our Temenosians
who are passionate about making banking better, together.

We serve over 3000 clients from the largest to challengers and
community banks in 150+ countries. We collaborate
with clients to build new banking services and state-of-the-art customer
experiences on our open banking platform, helping them operate more
sustainably.

At Temenos, we have an open-minded and
inclusive culture, where everyone has the power to create their own destiny and
make a positive contribution to the world of banking and society.

Step into the future of enterprise tech with our Global
Corporate IT Team, where we're not just building AI—we're crafting intelligent
agents that think, act, and transform how businesses operate.
As a Senior Agentic AI Solutions Engineer, you'll be at the
heart of our mission to bring Agentic AI to life. You'll design and scale
smart, autonomous systems that help teams around the world work smarter,
faster, and with more impact.

• You will develop and maintain
  intelligent agents, chatbots, and agentic workflows for enterprise use cases.
  
• You will design and implement
  AI solutions using Microsoft Copilot, Azure OpenAI, Power Platform, and
  Foundry.
  
• You will develop and fine-tune AI models,
  including LLMs like GPT-4 and open-source alternatives.
  
• You will collaborate with
  cross-functional teams to identify automation opportunities and deliver
  scalable AI solutions with high business impact.
  
• You will build and optimize
  models for natural language processing, semantic search, and recommendation
  systems.
  
• You will ensure responsible
  AI practices, including data privacy, model explainability, and ethical
  deployment.
  
• You will lead technical
  architecture discussions and mentor junior engineers.
  
• You will implement
  DevOps/MLOps practices for seamless deployment and model lifecycle management.
  
• You will scale AI solutions on Azure, AWS, or
  GCP for performance and cost-efficiency.
  
• You will document
  architectures, procedures, and project plans for transparency.
  
• You will contribute to
  internal AI frameworks and share best practices.
  
• You will stay current with
  emerging AI trends, especially within the Microsoft ecosystem.

• You should have a minimum of 5–7 years of experience in AI/ML engineering, with a strong focus on enterprise applications.
  
• Hands-on experience with:
  • Microsoft Copilot Studio
    
  • Azure OpenAI Service
    
  • Power Automate / Power Apps
    
  • Microsoft Graph API
    
  • Semantic Kernel
    
  • Proficiency in Python
    
  • Foundry
    
• You should have bonus skills in JavaScript/TypeScript, Java, or C# for broader development integration.
  
• You should have experience building APIs and connecting with enterprise platforms (ERP, CRM, etc.).
  
• You should have relevant certifications or training in Machine Learning, AI development, Data Analytics, and Cloud Computing (advantageous).
  
• You should have experience with LLMs, prompt engineering, and agentic AI workflows.
  
• You should have a solid foundation in secure, scalable API and cloud integrations.
  
• You should have a proven track record with LLMs/SLMs such as GPT series and open-source alternatives.
  
• You should have proficiency in cloud platforms (Azure, AWS, GCP) for AI workload deployment.
  
• You should have excellent problem-solving and communication skills.
  
• You should have awareness of AI security, ethics, and regulatory requirements.
  
• You should have business acumen to translate strategy into technical innovation.

• Care about creating meaningful, ethical, and high-impact AI solutions.
  
• Commit to learning, excellence, and innovation.
  
• Collaborate with teams to build scalable, strategic solutions.
  
• Challenge limits and drive responsible AI progress.

• Maternity leave: Transition back with 3 days per week in the first month and 4 days per week in the second month
  
• Civil Partnership: 1 week of paid leave if you're getting married. This covers marriages and civil partnerships, including same sex/civil partnership
  
• Family care: 4 weeks of paid family care leave
  
• Recharge days: 4 days per year to use when you need to physically or mentally needed to recharge
  
• Study leave: 2 weeks of paid leave each year for study or personal development 

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