Job Description
· Partner with business and technology stakeholders to assess feasibility and define GenAI use cases across operations, digital products, analytics, and enterprise functions.
· Lead hands‑on execution of complex GenAI solutions, including prototypes, proofs of concept, and production deployments.
· Design and implement LLM‑based architectures, including:
o Prompt engineering
o Retrieval‑Augmented Generation (RAG)
o Vector databases
o Multi‑step AI workflows
· Contribute to the standardization and reuse of GenAI components, frameworks, and patterns within the CoE.
· Support model monitoring, governance, and lifecycle management, including performance tracking and drift detection.
· Collaborate with platform, data, and MLOps teams to ensure secure, scalable, and compliant deployments.
· Stay current with emerging GenAI research and tooling, translating innovation into practical enterprise solutions.
Enable broader teams through documentation, knowledge sharing, and technical guidance.
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
· 9+ years of experience in advanced analytics, data science, or machine learning.
· 5+ years of hands‑on experience delivering ML or AI solutions in production.
· Deep expertise in Generative AI and LLMs, including models such as GPT‑4/4.x, GPT‑3.5, Claude, LLaMA, or equivalent.
· Strong experience with prompt engineering, LangChain, LlamaIndex, and transformer‑based architectures.
· Hands‑on proficiency in Python and SQL; experience with PyTorch or TensorFlow.
· Proven experience implementing RAG architectures, vector databases, and semantic search.
· Solid understanding of MLOps practices, including CI/CD, model versioning, and lifecycle management.
· Experience deploying AI solutions on AWS and/or Azure in enterprise environments.
Strong communication skills and the ability to operate in a consultative, cross‑functional role.
Nice to Have Skills & Experience
airline experience
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.