AES - DE - Generative AI Solution Architect

Summary

Design, build, and maintain AI agents and conversational copilots on Microsoft Copilot Studio, translating business workflows into GenAI-driven automation for enterprise clients. Core stack spans Microsoft Copilot Studio, Azure, Microsoft 365, Power Platform, and Python.

**Job Title:**

Gen AI Engineer – Microsoft Copilot Studio (4–6 Years Experience)

**Key Qualifications:**

  • Candidates with total IT experience of 10 years. With a 4–6 years of experience in AI, Gen AI, or intelligent automation roles
  • 1–2 years of mandatory hands-on experience with Microsoft Copilot Studio, focusing on designing and building custom AI copilots, agents, workflows, and conversation bots for enterprise solutions
  • Strong exposure to Microsoft technologies (Microsoft 365, Azure, Power Platform preferred)
  • Python & AI / Microsoft Copilot certifications are a strong advantage

**Responsibilities:**

- Design, build, and maintain AI agents and Copilot experiences using Microsoft Copilot Studio to automate and optimize business workflows

- Develop conversational and task-driven agents to manage real-time operational issues including service requests, alerts, escalations, and workflow orchestration

- Build a thorough understanding of client business processes to identify and define AI opportunities

- Partner with IT, operations, and business stakeholders to identify high-impact automation opportunities

- Gather pain points across business and technical stakeholders. Translate business and IT operational requirements into scalable Copilot solutions

- Lead the definition of AI Copilot strategies, prioritize initiatives, and drive implementation

- Prioritize AI use cases using a data-driven and impact-based approach

- Design and build Gen AI solutions tailored to client requirements

- Integrate copilots with enterprise data and workflows

- Work closely with Zensar’s SGO team to align outcomes and delivery

- Monitor, evaluate, and fine-tune AI models for performance and accuracy

- Stay updated with emerging Gen AI and Copilot capabilities

- Recommend upgrades, enhancements, and new AI solutions as needed

**Additional Information:**

- Candidates should have the flexibility to support US Easter time zone as required.

**Responsibilities:**

- Design, build, and maintain AI agents and Copilot experiences using Microsoft Copilot Studio to automate and optimize business workflows

- Develop conversational and task-driven agents to manage real-time operational issues including service requests, alerts, escalations, and workflow orchestration

- Build a thorough understanding of client business processes to identify and define AI opportunities

- Partner with IT, operations, and business stakeholders to identify high-impact automation opportunities

- Gather pain points across business and technical stakeholders. Translate business and IT operational requirements into scalable Copilot solutions

- Lead the definition of AI Copilot strategies, prioritize initiatives, and drive implementation

- Prioritize AI use cases using a data-driven and impact-based approach

- Design and build Gen AI solutions tailored to client requirements

- Integrate copilots with enterprise data and workflows

- Work closely with Zensar’s SGO team to align outcomes and delivery

- Monitor, evaluate, and fine-tune AI models for performance and accuracy

- Stay updated with emerging Gen AI and Copilot capabilities

- Recommend upgrades, enhancements, and new AI solutions as needed

**Key Qualifications:**

  • Candidates with total IT experience of 10 years. With a 4–6 years of experience in AI, Gen AI, or intelligent automation roles
  • 1–2 years of mandatory hands-on experience with Microsoft Copilot Studio, focusing on designing and building custom AI copilots, agents, workflows, and conversation bots for enterprise solutions
  • Strong exposure to Microsoft technologies (Microsoft 365, Azure, Power Platform preferred)
  • Python & AI / Microsoft Copilot certifications are a strong advantage

See also

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