We are seeking a highly skilled Generative AI Engineer to design, build, and scale AI-powered solutions that drive innovation across the organization. This role will focus on developing and deploying LLM-based applications using Azure OpenAI, helping transform how the business leverages automation, insights, and customer-facing capabilities.
You’ll partner closely with data scientists, engineers, and business stakeholders to deliver production-ready AI solutions that solve real-world problems and enhance operational efficiency.
Key Responsibilities
Design, develop, and deploy generative AI solutions leveraging large language models (LLMs) and modern deep learning techniques
Build and optimize end-to-end AI pipelines, including data ingestion, preprocessing, model integration, evaluation, and deployment
Partner with cross-functional teams to translate business needs into scalable AI use cases and technical solutions
Develop and integrate applications using Azure OpenAI services and cloud-native architecture
Improve performance, scalability, and reliability of existing AI models and solutions
Stay current on emerging trends in GenAI, NLP, and MLOps, and apply best practices to drive innovation
Create clear technical documentation and effectively communicate solutions to both technical and non-technical stakeholders
Contribute to best practices, standards, and governance for AI development across the organization
Mentor junior team members and provide technical guidance as needed
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
-Bachelor’s degree in computer science, Data Science, AI, Machine Learning, or related field
3+ years of experience building and deploying machine learning or generative AI solutions
Strong experience with Python and modern ML frameworks (e.g., PyTorch, TensorFlow)
Hands-on experience with large language models (LLMs) and NLP concepts
Experience working with cloud services
Solid understanding of software engineering fundamentals, including data structures and system design
Experience building scalable, production-ready applications and APIs
Strong problem-solving skills with a focus on delivering practical, business-driven solutions
Excellent communication skills and ability to collaborate across technical and functional teams - Advanced degree in related field
Experience with Azure OpenAI, prompt engineering, and LLM application development
Familiarity with Hugging Face or similar NLP tooling
Experience with MLOps practices (CI/CD, model monitoring, deployment pipelines)
Exposure to enterprise AI use cases (automation, search, copilots, knowledge systems)