Job description
 
                         Solution Architecture & Design
Lead the design and development of advanced AI solutions leveraging  LLMs, GenAI models, AI agents, and hybrid AI approaches .
Architect scalable, secure, and efficient AI systems integrating traditional ML with emerging Generative AI capabilities.
Ensure AI solutions align with enterprise-grade performance, compliance, and ethical AI standards.
Thought Leadership & Innovation
Act as a  subject matter expert (SME)  in Generative AI, LLMs, and Agentic AI; contribute to technical strategy and AI roadmaps.
Represent the organization in conferences, whitepapers, patents, and client discussions as a  recognized AI thought leader .
Explore, evaluate, and integrate cutting-edge research, frameworks, and toolkits in AI and ML.
Engineering & Delivery
Provide hands-on guidance for model fine-tuning, prompt engineering, multi-agent orchestration, and system optimization.
Lead proof-of-concept (PoC) development and transition of AI solutions into production.
Collaborate with product managers, data scientists, engineers, and stakeholders to deliver  enterprise-ready AI solutions .
Mentorship & Leadership
Mentor and guide engineering teams on  best practices in AI solutioning, research translation, and applied engineering .
Foster a culture of innovation, experimentation, and continuous learning within the AI/ML engineering group.
Required Qualifications
Experience:  7–12 years in Artificial Intelligence and Machine Learning, with  3–4 years dedicated to Generative AI, LLMs, and Agentic AI .
Technical Expertise:
Strong understanding of  LLM architectures (e.g., GPT, LLaMA, Mistral, Claude, Gemini, etc.) , fine-tuning, and deployment.
Experience in  AI agent frameworks, multi-agent systems, and orchestration tools .
Solid background in  machine learning algorithms, deep learning, NLP, computer vision, and reinforcement learning .
Proficiency in  Python, PyTorch, TensorFlow, Hugging Face, LangChain, vector databases, and cloud AI platforms (AWS, Azure, GCP) .
Leadership Skills:  Proven track record of  architecting AI solutions at scale  and leading cross-functional teams.
Research & Innovation:  Demonstrated ability to  stay ahead of AI trends  and convert emerging techniques into practical solutions.
Strong communication skills with the ability to  articulate AI concepts to both technical and executive stakeholders
 
                    
                    
Required Skill Profession
 
                     
                    
                    Computer Occupations