Sr Architect AI-GenAi

Role : senior architect - artificial intelligence

# key skills :

AI solutions,Gen Ai,Design and develop ai applications,deep learning,machine learning models,etl,Data processing,nlp,ai tools,machine learning models, algorithms, and frameworks,Python,R,TensorFlow, PyTorch,cloud platforms AWS, Azure,rdbms,Cloud Databases,nosql,Technical Leadership,mentoring.

# job summary :

This is a strategic leadership role responsible for designing, implementing, and overseeing advanced artificial intelligence (ai) solutions and processes. The Senior AI Architect collaborates closely with customers to ensure AI solutions align with business objectives, are scalable, and meet industry standards.

# key responsibilities:

• Design and develop AI applications across various domains, leveraging expertise in Generative ai, deep learning, nlp and computer vision.
• Partner with business stakeholders to translate business objectives into actionable ai and Generative ai initiatives.
• Collaborate with data scientists, engineers, and domain experts to ensure the effective execution of ai projects.
• Evaluate emerging ai technologies and tools, assessing their suitability for organizational needs.
• Architect and deploy end-to-end ai solutions that seamlessly integrate with existing it infrastructures.
• Lead cross-disciplinary teams to deliver ai-driven solutions that meet strategic goals.
• Mentor other team members, promoting best practices for ai development and deployment.
• Develop high-level designs for data pipelines, model training, deployment strategies, and system integration.
• Lead the selection and optimization of machine learning models, algorithms, and frameworks (e.g., TensorFlow, PyTorch).
• Establish monitoring frameworks for deployed AI systems, identifying bottlenecks and implementing improvements to ensure accuracy and reliability.

# skills & qualifications:

# Educational Background:

• Masters or Ph.D. in Computer Science, Artificial Intelligence, or a related field. In lieu of - qualifications a strong experience in the AI field will be considered.
• Technical Proficiency: Strong programming skills in Python or R; deep knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (e.g., AWS, Azure).

# experience:

• Proven experience in designing scalable AI architectures and optimizing model performance. Experience managing large-scale projects with diverse teams. Ideal candidates will have at least three large scale AI projects implementation of going live with multiple poc / PoV.
• Problem-Solving: Strong critical thinking and problem-solving abilities to tackle complex challenges. Knowledge of industry use cases in ai / ml will be expected.