Job Description
Lead initiatives in Agentic AI, Generative AI, and advanced Data Science
Drive innovation in advanced analytics with federal datasets and enterprise AI solutions
Design and deploy Generative AI systems for autonomous decision-making and workflow efficiency
Design and build agentic agents to enhance and supplement SaaS-based workflows
Build and deploy scalable data pipelines
Apply advanced statistical methods and machine learning techniques for data assessment
Architect and support build of AI-driven retrieval-augmented generation (RAG), prompt engineering, and knowledge graph projects
Collaborate to produce AI-powered dashboards and insights
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, Information Systems, Engineering, Mathematics, or related discipline
6+ years of experience in AI and data analytics
Proficient in R, Python, and AI/ML frameworks (i.e., TensorFlow, PyTorch)
Practical experience with Generative AI models (including LLMs) and Agentic AI frameworks (e.g., LangChain, CrewAI)
Experience building autonomous agents that use LLMs to perceive, decide, and act independently
Experience with APIs to platforms like Twilio, Google Cloud, etc.
Proficient in SQL and relational databases (e.g., Oracle, PostgreSQL, MySQL)
Experience with RAG pipelines, vector databases, and knowledge graphs
Skilled in visualization tools and interactive dashboards
Hands-on experience leveraging cloud services (e.g., S3, EC2, RDS, Lambda) to design and implement data processing, storage, and analytics solutions
Hands-on experience with Docker
Strong communication skills to interact with technical teams and government stakeholders
Nice to Have Skills & Experience
Masters degree
Experience integrating AI solutions with SaaS/PaaS platforms (e.g., ServiceNow, Salesforce, etc.)
Experience with analytics tools (e.g., Power BI, Tableau, Qlik)
Experience with Google Gemini
Knowledge of federal data governance standards and compliance frameworks
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.