Accountabilities:
As an AI Solution Engineer, you will be responsible for delivering scalable and production-ready AI solutions while promoting best practices across the organization.
Design, develop, and deploy AI applications using low-code platforms such as Microsoft Copilot Studio, Power Automate, and similar technologies.
Build advanced AI solutions using Python, LLM APIs, retrieval systems, agentic workflows, and modern AI/ML frameworks.
Collaborate directly with business stakeholders to identify opportunities, define requirements, and translate complex challenges into practical AI solutions.
Own the end-to-end lifecycle of AI projects, from ideation and prototyping through testing, validation, deployment, and continuous improvement.
Develop reusable templates, components, prompt patterns, and scalable frameworks to accelerate future AI initiatives.
Ensure all solutions meet quality, governance, security, documentation, and compliance standards.
Contribute to internal AI communities by sharing knowledge, best practices, and emerging technologies.
Evaluate new AI platforms, tools, connectors, and frameworks to continuously enhance delivery capabilities.
Requirements:
The ideal candidate combines hands-on AI engineering experience with strong business acumen and excellent communication skills.
Proven experience developing AI solutions using low-code platforms such as Microsoft Copilot Studio, Salesforce Agentforce, or Power Automate.
Strong programming skills in Python and experience integrating LLM APIs such as Azure OpenAI, OpenAI, Anthropic, or equivalent technologies.
Solid understanding of conversational AI concepts, including agent design, knowledge management, escalation workflows, and intent handling.
Experience implementing AI evaluations, guardrails, responsible AI practices, and mechanisms to reduce hallucinations and improve reliability.
Ability to work independently with stakeholders and deliver solutions in environments with evolving or ambiguous requirements.
Strong organizational skills with the ability to manage multiple projects and stakeholders simultaneously.
Fluent English communication skills, both written and verbal.
Experience with enterprise data connectors such as SAP, SharePoint, Salesforce, or Dynamics 365 is considered an advantage.
Familiarity with frameworks such as LangGraph, LLMOps/MLOps practices, SQL, Databricks, or Microsoft Fabric is a plus.
Curiosity for emerging AI technologies and a continuous learning mindset.
Benefits:
Flexible working hours to support work-life balance.
Hybrid work model with remote working opportunities.
Additional vacation purchase options and flexible holiday arrangements.
Sabbatical opportunities and extended leave programs.
Comprehensive family leave policies and wellbeing support initiatives.
Access to health and wellness platforms, fitness programs, and wellbeing resources.
Medical support services and life insurance coverage.
Career development opportunities through global learning platforms, mentoring, and internal mobility programs.
Employee recognition initiatives and stock ownership opportunities.
Flexible compensation plans including health insurance, meal vouchers, transportation support, and training benefits.
Access to employee discount programs and company-sponsored volunteering initiatives.
Opportunity to work on high-impact AI projects within a global and highly innovative digital ecosystem.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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