CC DACH Data&Intelligence Newell Data Engineer 1

Who We Are

Join our globally connected Centre of Excellence, where we pioneer cutting-edge Agentic AI Services and collaborate with teams worldwide to deliver transformative solutions. As an Agentic AI Solutions Engineer, you'll play a central role in designing and scaling intelligent agents that empower enterprises and unlock measurable value. You’ll be part of a high-impact, R&D-driven team that turns advanced AI concepts into real-world innovations.

Your focus will span research, prototyping, and deployment—bringing intelligent automation to life across diverse industries. You’ll work closely with research and product teams to maintain a robust portfolio of Agentic AI Agents, develop showcase-worthy demos, and push the boundaries of what's possible in AI.

What You’ll Be Doing

• Designing, developing, and deploying Agentic AI-powered solutions tailored to client challenges
• Developing and fine-tuning AI models, including LLMs like GPT-4 and open-source alternatives
• Engineering optimized prompts for accuracy, consistency, and reliability
• Prototyping advanced AI applications with Python and relevant frameworks
• Integrating AI tools securely with enterprise systems via API development
• Building and maintaining data pipelines for reliable model inputs
• Managing structured and unstructured data using vector databases and semantic search
• Scaling AI solutions on Azure, AWS, or GCP for performance and cost-efficiency
• Implementing DevOps/MLOps practices for seamless deployment and model lifecycle management
• Ensuring regulatory compliance (GDPR, HIPAA) and applying security best practices
• Mitigating ethical risks and addressing potential AI biases
• Collaborating across teams to drive intelligent automation and business impact
• Documenting architectures, procedures, and project plans for transparency
• Contributing to internal AI frameworks and sharing best practices
• Exploring emerging trends to keep our solutions on the forefront of innovation
• Leveraging Microsoft Copilot Studio, Azure AI Foundry, and Semantic Kernel for agentic excellence

What You’ll Bring Along

• Bachelor's or Master's in Computer Science, Engineering, Data Science, or similar
• Preferred: Microsoft certifications in AI Engineering, Data Science, Azure Architecture, Power Platform
• Relevant certifications or training in Machine Learning, AI development, Data Analytics, and Cloud Computing (advantageous) 
• Minimum 5–7 years of experience in developing and deploying AI/ML solutions in enterprise contexts
• Hands-on expertise in Python, model fine-tuning, and prompt engineering
• Solid foundation in secure, scalable API and cloud integrations
• Success delivering high-impact AI pilots and production systems
• Familiarity with agile project delivery and client-facing engagements
• Deep expertise in AI, NLP, and machine learning
• Proven track record with LLMs/SLMs such as GPT series and open-source alternatives
• Strong background in prompt engineering and model optimization
• Advanced Python skills for prototyping and integration
• Bonus skills in JavaScript/TypeScript, Java, or C# for broader development integration
• Experience building APIs and connecting with enterprise platforms (ERP, CRM, etc.)
• Familiarity with full-stack development and UX considerations
• Solid understanding of data engineering, vector databases, and semantic search
• Proficiency in cloud platforms (Azure, AWS, GCP) for AI workload deployment
• Practical implementation of DevOps/MLOps methodologies
• Experience using Copilot Studio, Azure AI Foundry, and Semantic Kernel (highly desirable)
• Awareness of AI security, ethics, and regulatory requirements
• Business acumen to translate strategy into technical innovation
• Clear communication and stakeholder engagement skills
• Strong analytical thinking, attention to detail, and project management chops
• Passion for learning and staying ahead in the ever-evolving AI landscape
• Excellent command of both spoken and written English