NTT DATA Romania SA

Compensation

Full Description

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