As an AI Solutions Architect, you will be responsible for the technical design and architecture of AI solutions. The ideal candidate will have a strong technical background in AI and machine learning, along with expertise in cloud computing, data engineering, and system architecture.

Key Responsibilities:

• Solution Design:
  • Design end-to-end AI solutions that address client requirements and business challenges.
  • Develop architectural blueprints and technical specifications for AI systems.
• Technical Leadership:
  • Collaborate with data scientists and engineers to build and deploy AI models.
  • Provide technical guidance and mentorship to development teams.
• Client Engagement:
  • Work closely with clients to understand their needs and propose tailored AI solutions.
  • Present technical concepts and solutions to non-technical stakeholders.
• Implementation and Integration:
  • Oversee the implementation of AI solutions, ensuring seamless integration with existing systems.
  • Optimize AI systems for performance, scalability, and reliability.
• Ethics and Compliance:
  • Ensure AI solutions adhere to ethical guidelines and regulatory requirements.
  • Address potential risks, such as bias and data privacy concerns.
• Innovation and Research:
  • Stay updated on the latest AI trends, tools, and technologies.
  • Identify opportunities to innovate and improve existing solutions.

Requirements & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
• Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with big data technologies (e.g., Hadoop, Spark) APIs, microservices architecture.and data pipelines.
• Excellent problem-solving and analytical skills.
• Strong communication and leadership abilities.

Bonus Points:

• Certifications in cloud computing or AI/ML.
• Experience with specific AI domains (e.g., NLP, computer vision).
• Experience with MLOps practices.

Why Join Us?

• Competitive salary and benefits package.
• Work on cutting-edge AI technologies and solutions.
• Career growth and professional development opportunities.
• Collaborative and innovative work environment.