▷ [Apply Now] Solutions Architect- AI

Position Overview :

We are seeking a skilled Solution Architect specializing in Agentic AI to lead the design, development, and implementation of intelligent autonomous systems. The ideal candidate will bridge the gap between cutting-edge AI research and practical enterprise solutions, architecting robust agentic frameworks that can operate independently while maintaining human oversight and control.

Key Responsibilities :

1. Design and architect end-to-end agentic AI solutions that can reason, plan, and execute complex multi-step tasks autonomously

2. Develop architectural blueprints for multi-agent systems with proper coordination, communication, and conflict resolution mechanisms

3. Create scalable frameworks for agent orchestration, task delegation, and workflow automation

4. Design robust memory architectures including episodic, semantic, and procedural memory systems for agents

5. Lead cross-functional teams in implementing agentic AI solutions from conception to production deployment

6. Establish best practices for agentic system development, testing, and maintenance

7. Mentor junior engineers on advanced AI concepts, agent design patterns, and MLOps practices

8. Architect and implement LLM deployment strategies for both cloud and on-premise environments

9. Design and execute model quantization, pruning, and optimization techniques for efficient inference

10. Implement knowledge distillation pipelines to create specialized smaller models from large foundation models

11. Develop model versioning, A / B testing, and gradual rollout strategies for production systems

12. Design and implement various agentic patterns including ReAct, Chain-of-Thought, Tree-of-Thoughts, and multi-agent collaboration

13. Architect tool-using agents with proper API integration, error handling, and safety constraints

14. Develop planning and reasoning engines for complex task decomposition and execution

15. Implement self-reflection and self-correction mechanisms for autonomous error recovery

Experience & Education :

• 8+ years of hands-on experience in Machine Learning, Deep Learning, and Data Engineering
• Bachelor's or Master's degree in Computer Science, AI / ML, Data Science, or related field
• Proven track record of deploying ML / AI solutions in production environments

Core Technical Skills :

Agentic AI Specialization

Deployment & Infrastructure

Advanced Technical Requirements :

Emerging AI Technologies

Advanced Agentic Patterns

Soft Skills & Leadership