Gen AI

strategic and highly skilled Generative AI Architect

learn, reason, and make intelligent decisions

Key Responsibilities

AI Systems Architecture & Business Impact

• Design and develop

  scalable AI architectures

  that integrate seamlessly with existing business systems.
• Ensure AI models support

  enterprise-grade workloads

  , focusing on

  efficiency, adaptability, and security

  .

Algorithm & Model Development

• Develop and optimize

  AI algorithms

  for predictive analytics, recommendation engines, and automation.
• Apply

  machine learning (ML) and deep learning (DL)

  techniques to enhance decision-making and business intelligence.

Data Engineering & Integration

• Architect robust

  data pipelines

  to support AI model training and inference.
• Implement

  automated data collection, integration, cleansing, and transformation

  techniques to ensure high-quality data inputs.
• Collaborate with

  data engineering teams

  to align AI solutions with real-world business applications.

AI Model Training, Evaluation & Performance Optimization

• Train AI models using

  supervised, unsupervised, and reinforcement learning techniques

  , refining them based on

  business insights

  .
• Define

  model performance metrics

  to ensure AI solutions deliver tangible value.

Real-Time AI Applications & System Integration

• Work alongside

  software engineers and business consultants

  to integrate AI solutions into the applications.
• Ensure AI components

  interact seamlessly

  with enterprise platforms such as

  CRM, ERP, workflow automation tools, and analytics dashboards

  .

Ethical AI & Compliance

• Embed

  AI fairness, transparency, and accountability

  principles into AI systems, ensuring ethical AI deployment.
• Stay updated on

  AI governance policies

  and compliance frameworks related to enterprise AI applications.

Research, Innovation & AI Strategy

• Stay at the forefront of

  AI advancements, frameworks, and cloud technologies

  .
• Lead AI-driven

  strategic initiatives

  , exploring innovative approaches for

  automation, personalization, and efficiency enhancement

  .

Stakeholder Collaboration & Communication

• Work closely with

  executive teams, data scientists, business strategists, and IT professionals

  to align AI solutions with corporate objectives.
• Present complex AI concepts in a

  clear, accessible manner

  to both technical and non-technical stakeholders.

Mandatory Qualifications & Skills

• Bachelor's or master's degree in

  Computer Science, AI, Data Science, or related fields

  .
• Expertise in

  large language models (LLMs)

  and

  prompt engineering

  for business applications.
• Strong programming skills (

  Python, R, Java

  ) for AI model development and deployment.
• Familiarity with

  AI libraries and frameworks

  (TensorFlow, PyTorch, Keras).
• Experience deploying AI models in

  cloud computing environments

  (AWS, Azure, Google Cloud).
• Deep understanding of

  enterprise AI architecture, data engineering, and model optimization

  .
• Strong problem-solving skills, with a

  business-driven approach

  to AI implementation.
• Effective communication and collaboration skills in

  cross-functional teams

  .

Preferred Skills

• High-Performance Computing (HPC) and AI workloads

  for large-scale enterprise solutions.

• NVIDIA CUDA, cuDNN, TensorRT

  experience for deep learning acceleration.

Big Data platforms