Job Opportunity
We are seeking a skilled AI Architect to lead the design and development of advanced AI solutions.
- Leverage large language models (LLMs), generative AI models, AI agents, and hybrid AI approaches to create scalable, secure, and efficient systems.
- Architect AI systems integrating traditional machine learning with emerging generative AI capabilities to meet enterprise-grade performance, compliance, and ethical standards.
Thought Leadership & Innovation
Contribute to technical strategy and AI roadmaps as a subject matter expert in generative AI, LLMs, and agentic AI.Pursue research, evaluate new frameworks, and integrate cutting-edge toolkits in AI and machine learning to stay ahead of trends.Engineering & Delivery
Provide hands-on guidance for model fine-tuning, prompt engineering, multi-agent orchestration, and system optimization.Lead proof-of-concept development and transition of AI solutions into production, collaborating with stakeholders to deliver enterprise-ready solutions.Mentorship & Leadership
Mentor and guide teams on best practices in AI solutioning, research translation, and applied engineering.Foster innovation, experimentation, and continuous learning within the AI / machine learning engineering group.Qualifications
7-12 years of experience in AI and ML, with 3-4 years dedicated to generative AI, LLMs, and agentic AI.Technical Expertise :
Strong understanding of LLM architectures, fine-tuning, and deployment.Experience with AI agent frameworks, multi-agent systems, and orchestration tools.Solid background in machine learning algorithms, deep learning, natural language processing, computer vision, and reinforcement learning.Proficiency in Python, PyTorch, TensorFlow, Hugging Face, LangChain, vector databases, and cloud AI platforms.Leadership skills : Proven track record of architecting AI solutions at scale and leading cross-functional teams.Research & Innovation : Demonstrated ability to convert emerging techniques into practical solutions.Requirements
Articulate AI concepts to both technical and executive stakeholders.