Job Description
Day to day
• Identifies and evaluates business processes that can be automated using AI-driven agents, optimizing productivity and reducing manual workload.
• · Implements agentic AI automation solutions using tools such as Microsoft Copilot, AI orchestration platforms, workflow automation frameworks, and other low-code AI development tools.
• · Conducts maintenance and improvements on the orchestration and management of the agent and automation portfolio.
• · Collaborates with data scientists, AI/ML engineers, and IT teams to integrate AI-powered automation into enterprise applications, ensuring seamless functionality.
• · Configures and fine-tunes AI agents and automation workflows to continuously improve performance, usability, and business impact.
• · Partners with business stakeholders to define requirements, document automation workflows, and assess the feasibility of AI-driven enhancements.
• · Stays up to date with advancements in AI automation frameworks, natural language processing (NLP), and large language models (LLMs) to recommend innovative solutions.
• · Conducts testing, validation, and performance monitoring of AI automation systems, troubleshooting issues and iterating on solutions.
• · Ensures compliance with data privacy, security, and governance best practices when implementing AI-powered automation solutions.
• · Works closely with IT leadership to develop scalable AI automation strategies, ensuring alignment with the organization's digital transformation goals.
Inside Notes
- Transplant institute team but if scalable stuff for other services lines they would other teams
- Team size: 10 peers, customer: executive directors
○ Be able to explain processes and technical processes
- Strong technical over communication piece:
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
Must-Haves:
- 2 years of experience in AI, automation, or software development ideally at an enterprise level
- Bachelor’s degree required; advanced degree preferred. IT, Analytics
- Experience with Prompts, prompt creation/ prompt editing experience (would be passing instructions through specific tools rather than coding)
- Strong understanding of workflow automation, business process optimization, and AI-powered automation tools.
- Experience working with AI-powered automation solutions, including Microsoft Copilot, workflow orchestration tools, or intelligent automation platforms.
- Ability to configure, experiment with, and refine AI automation agents to improve operational efficiency.
- Proficiency in automation tools such as Power Automate, UiPath, or similar platforms.
- Knowledge of API integrations, RPA (Robotic Process Automation), and scripting for automation workflows.
- Strong analytical and problem-solving skills to evaluate business functions and recommend practical AI automation solutions.
- Excellent communication skills with the ability to collaborate across IT, AI/ML teams, and business units.
Nice to Have Skills & Experience
Plusses:
• Masters
• Certification in AI or cloud based automation tools
○ Open AI, Claude
• Low code experience: SQL, Java, etc.
• Experience with large language models (LLMs), AI orchestration frameworks, or generative AI tools.
• Familiarity with cloud-based AI services, such as Azure AI, AWS AI services, or Google Cloud AI tools.
• Working knowledge of natural language processing (NLP) and conversational AI 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.