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AI Engineer - INTL - India
Career Insights for Natural Language Processing Engineer
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Scorecard
Based on North Carolina data
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What they do
A Natural Language Processing Engineer specializes in developing and implementing algorithms and models tailored for understanding, processing, and generating natural language text. They utilize methodologies such as tokenization, parsing, named entity recognition, part-of-speech tagging, and other NLP techniques to perform tasks including text classification, chatbot development, and other applications where the primary input or output is natural language text.
$117,487 / year median in North Carolina
Job Description
- Design, develop, and implement AI-driven applications using Microsoft AI technologies.
- Build and customize Microsoft Copilot solutions to improve productivity, automation, and business processes.
- Develop and deploy AI models, agents, and workflows utilizing Azure AI Foundry.
- Create intelligent automation solutions leveraging LLMs, generative AI, and conversational AI technologies.
- Partner with business stakeholders to gather requirements and translate business needs into scalable AI solutions.
- Integrate AI capabilities with enterprise systems, databases, APIs, and business applications.
- Monitor, optimize, and continuously improve AI application performance, reliability, and accuracy.
- Establish AI governance, security, and compliance best practices.
- Stay current on emerging AI technologies and recommend innovative solutions to enhance business outcomes.
- Collaborate with cross-functional teams including IT, data engineering, product owners, and business leaders.
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Insight Global's Workforce Privacy Policy:
https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements- 4+ years of professional experience in AI Engineering, Machine Learning Engineering, Software Engineering, or a related field.
- Expert-level experience with Microsoft Copilot development, customization, and implementation.
- Hands-on experience with Azure AI Foundry (formerly Azure AI Studio) and Azure AI services.
- Strong experience developing solutions using Large Language Models (LLMs) and Generative AI technologies.
- Experience building AI-powered applications, agents, chatbots, or automation solutions.
- Proficiency with Python and modern software development practices.
- Experience integrating AI services with APIs, enterprise applications, and cloud platforms.
- Strong understanding of prompt engineering, retrieval-augmented generation (RAG), vector databases, and AI orchestration frameworks.
- Experience working within Azure cloud environments.
- Excellent communication and stakeholder management skills.
- Experience with Microsoft Power Platform, Power Automate, or Copilot Studio.
- Knowledge of Azure OpenAI Service and AI governance frameworks.
- Experience building multi-agent AI solutions.
- Familiarity with data engineering concepts and modern cloud architecture.
- Experience working in manufacturing, industrial, or supply chain environments.
- Experience with Scout AI solutions/platforms is highly preferred.
- Microsoft AI, Azure, or related cloud certifications.
Benefits
- Dental Insurance