Microsoft Copilot Agent

Must Have Technical/Functional Skills

Primary Skill: Experience in creating Microsoft Copilot Agents. Knowledge of ML and Deep Learning is a plus.

Should have hands-on coding experience in creating Microsoft Copilot Agents.

Experience: Minimum 10 years

Roles & Responsibilities

Bachelor’s or master’s degree in computer science or related field.

• Core Platform skills (Must have)
• Power Platform expertise
• Power Automate (Flows) -> Automation & Backend actions
• Power Apps / Dataverse -> data storage and app integration
• Power Fx basics -> logic expressions used in agents
• Copilot studio fundamentals
• Topic, triggers, and conversation nodes
• Agent flows vs skills (when to use each)
• Adaptive cards for UI interactions
• Generative AI & LLM skills (Critical Differentiator)
• Understanding of LLM – driven agents
• Prompt Design and grounding
• Context management (multi-turn conversations)
• Retrieval-based answers using enterprise data
• Prompt Engineering
• Writing clear instructions for agents
• Controlling tone, style, and output consistency
• Integration & API skills (Enterprise scale enabler)
• APIs and connection integration
• Rest APIs
• Custom connectors
• Integration with internal platforms (e.g. MuleSoft, starburst in your ecosystem)
• MS graphs
• Azure Open AI/ AI services
• MS 365 Integrations
• Pro-Code extension skills
• Programming languages
• .NET/JavaScript/Python for building custom skills
• Agent “skills” Development
• Build reusable backend capabilities (multi-step logic)
• Handle complex workflows (e.g. Booking, provisioning)
• YAML/Devops-style agent authoring
• Define agents via configuration (lac -style)
• Use tools for validation and automation
• Conversational and UX design skills
• Conversation Design
• Writing natural, user-friendly dialogue
• Handling ambiguity & fallback scenarios
• User journey thinking
• Intent -> task completion -> escalation
• Designing frictionless experiences
• Data & Governance skills (Critical in Banking context)
• Data grounding & governance
• Connecting agents to enterprise knowledge sources
• Ensuring correct data retrieval and accuracy
• Security and Compliance awareness
• Entra ID (authentication)
• Role-based access, data policies
• Automation and orchestration thinking
• Workflow orchestration
• Multi-step business processes
• Event-driven automation
• Multi-Agent patterns(advanced)
• Agent coordinating tasks across systems

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Ins urance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range: $110,000- $120,000 a year

Qualifications: BACHELOR OF COMPUTER SCIENCE