GEN AI

Preferred candidate profile

AI ENGINEER/ARCHITECT

As an AI Architect, you will design and deploy scalable, autonomous AI systems, ensuring

seamless integration with cloud platforms and enterprise workflows. You will lead AI strategy,

evaluate emerging frameworks, and optimize AI models for real-world applications while

driving innovation in agentic AI.

Key Responsibilities

• AI System Design: Architect scalable, autonomous AI/ML systems, including APIs,

agents, and pipelines for dynamic decision-making.

• Technical Leadership: Guide AI engineers and data scientists in implementing advanced

architectures (LLMs, multi-agent frameworks).

• Cloud & Framework Expertise: Deploy AI solutions on AWS SageMaker, Azure ML, or

Vertex AI; leverage tools like LangChain, AutoGPT, or Autogen.

• Optimization & Customization: Fine-tune LLMs and AI models for domain-specific tasks

(real-time analytics, adaptive automation).

• Innovation & R&D: Prototype emerging AI architectures (neuro-symbolic systems,

self-improving agents) for production viability.

• System Validation: Ensure robustness via stress testing, bias mitigation, and compliance

with ethical AI standards.

• Stakeholder Collaboration: Align AI initiatives with business goals and advocate for

AI-driven innovation.

Required Skills & Qualifications

• Minimum 6 years of hands-on experience in AI architecture, cloud platforms

(AWS/Azure/GCP), and LLM frameworks.

• Proficiency in Python, TensorFlow/PyTorch, and AI deployment tools (SageMaker, Vertex

AI).

• Strong background in autonomous agents, multi-agent systems, and AI optimization.
• Experience with LangChain, AutoGPT, or similar frameworks is a plus.
• Ability to translate research into production-ready architectures.
• Excellent communication and leadership skills.