Job Description

Exp : 8 - 10 Years

AWS Certification Mandatory

The job of AI Architect will be a core member of a technical team that's responsible for delivering Automations on Cloud Operations, design, building and supporting cloud infrastructure platform for Enterprise Cloud Services.

The candidate must be strong in AI/ML and AWS Core services of AI with expertise in system operations of production workloads running in cloud environments (preferably AWS).

He/She should be good in any of the programming languages in AI/ML

Primary Skills

• Strong programming skills in Python, Java, or similar languages.
• Proficiency in cloud platforms such as AWS, Azure.
• Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Experience in AIOps, CI/CD pipelines, and containerization technologies like Docker and Kubernetes.
• Familiarity with cloud monitoring tools like Prometheus, Datadog, or CloudWatch.
• Strong problem-solving and analytical abilities.
• Effective communication and collaboration skills.
• Adaptability to work in fast-paced and dynamic environments.
  
  

Good To Have Skills

• Experience in enterprise environments.
• AWS AIOps, Python, DevOps
• Gitlab
  
  

Responsibilities And Duties

• Two or more years of experience in applying AI to practical and comprehensive technology solutions in Cloud Operations.
• Experience in program leadership, governance, and change enablement.
• Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
• Serving as the elevated L3/L4 escalation contact for critical production issues.
• Adhering to change management protocols while executing service requests.
• Actively pursuing avenues to optimize standard operating procedures by leveraging automation techniques.
• Implement automation solutions to streamline platform operations, enhancing efficiency and reliability.
• Develop and implement AI/ML algorithms to optimize cloud resource allocation, reduce costs, and enhance system performance.
• Design models for predictive scaling, fault prediction, and workload balancing in multi-cloud or hybrid environments.
• Automate repetitive tasks like infrastructure provisioning, incident resolution, and performance tuning using AI-based workflows.
• Develop chatbots and intelligent assistants for CloudOps support.
• Deploy AI-based monitoring tools to proactively identify potential issues and anomalies in cloud environments.
• Build predictive analytics solutions to foresee outages, improve uptime, and ensure business continuity.
• Collaborate with DevOps, CloudOps, and engineering teams to integrate AI/ML solutions seamlessly into existing cloud platforms.
• Develop and maintain pipelines for AI/ML model training, validation, and deployment within the cloud infrastructure.
• Stay updated with advancements in AI, ML, and cloud technologies to evaluate their potential benefits for CloudOps.
• Apply AI technologies to enhance security, detect threats, and ensure compliance with cloud policies.
• Address challenges such as data privacy and integrity when working with cloud-based AI models.
• Recommend and implement cutting-edge tools and frameworks that align with operational and business goals.
• Work closely with a diverse, multinational team to ensure the delivery of world-class cloud services tailored specifically for SAP Applications to our global enterprise clientele.
• Participate in designing and implementing strategies to optimize the customer experience and meet service level agreements (SLAs).
• Proficiency in networking encompassing TCP/IP, IP routing, NAT, and firewalls.
• Demonstrated expertise in managing network services such as DNS, LDAP, and HTTP proxies.
• Strong comprehension of IT security practices, particularly in OS hardening techniques.
• Any Amazon Web Services (AWS) certification is must especially in AI/ML
• Good working knowledge on Amazon Sagemaker, Jupyher notebook
  
  

(ref:hirist.tech)