emailIcon
solutions@disolutions.net
facebook
+91-9904566590
facebookinstagramLinkedInIconyoutubeIcontiktokIcon
menu-icon

Agentic Development Teams Roles That Power AI-First Delivery

Explore the specialized roles that make up a modern agentic development team. Click any role to dive into responsibilities, focus areas, and how they accelerate your AI delivery.

  1. Role 01

    AI Product Manager

    Defines AI product vision, prioritizes roadmap decisions, and aligns outcomes with business goals.

    Focus Areas:

    • Problem framing and AI opportunity discovery
    • Roadmap prioritization and delivery planning
    • Stakeholder alignment and measurable outcomes
    View Role Details
  2. Role 02

    AI Integration Engineer

    Connects AI capabilities with existing systems, APIs, and enterprise tooling for reliable operations.

    Focus Areas:

    • Service integration across backend and third-party APIs
    • Data pipelines and event-driven orchestration
    • Deployment reliability and observability
    View Role Details
  3. Role 03

    AI Automation Specialist

    Designs and automates repetitive workflows using AI agents, rules, and operational triggers.

    Focus Areas:

    • Workflow discovery and process optimization
    • Agent-based automation and runbook design
    • Monitoring, fallback handling, and tuning
    View Role Details
  4. Role 04

    AI UX Designer

    Creates user experiences where AI behaviors are understandable, trustworthy, and easy to use.

    Focus Areas:

    • Prompt and conversation experience design
    • Human-in-the-loop interaction patterns
    • Transparent feedback and confidence signaling
    View Role Details
  5. Role 05

    AI Data Trainer

    Improves model quality through dataset preparation, annotation guidance, and iterative evaluation.

    Focus Areas:

    • Data labeling strategy and quality checks
    • Dataset curation and drift detection support
    • Model feedback cycles for better accuracy
    View Role Details
  6. Role 06

    AI QA Tester

    Validates AI outputs, edge cases, and reliability to maintain safe and predictable experiences.

    Focus Areas:

    • Test scenario design for AI behavior coverage
    • Prompt regression and output consistency checks
    • Risk, bias, and failure-mode reporting
    View Role Details
  7. Role 07

    AI Solutions Architect

    Designs scalable AI system architecture spanning model selection, infrastructure, and governance.

    Focus Areas:

    • Reference architecture and technology choices
    • Security, compliance, and responsible AI controls
    • Scalability, cost optimization, and lifecycle planning
    View Role Details
Build Your Agentic Team

Published

messageIcon
callIcon
whatsApp
skypeIcon