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/.
Required Skills & Experience
- Bachelor's degree in Computer 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 Azure 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
Nice to Have Skills & Experience
- 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)
- Experience working in Agile environments
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.