Cloud Architect with Gen AI

The following requirement is open with our client.

Client : Infosys

Title : Cloud Architect with Gen AI

Location : Charlotte, NC

Duration : 12Months

Detailed Job Description:

At least 9 years of Experience in Cloud Engineering including AWS and Google Cloud Platform infrastructure services

At least 5 years of experience in AI/ML , AWS Bedrock, Vertex AI

At least 2 years of experience in GEN AI, Vector Databases, AWS Sage maker, LLM's

At least 5 years of experience in Dev ops, Iaas, Terraform, Kubernetes, GKE

Google Cloud Platform (Google Cloud Platform) Expertise: Possess a strong understanding of Google Cloud Platform services, including Vertex AI, IAM, AI Applications (Agent Builder), Google Cloud Storage (GCS), Big Query (BQ), Document AI (Doc AI), and Model Garden.

Identity and Access Management (IAM) and Observability: Demonstrate a comprehensive understanding of IAM principles, Active Directory (AD) group synchronization, role binding within various organizational hierarchies, observability monitoring practices, service dashboards, and Hashi Corp Vault.

API Management and Containerization (Preferred): Knowledge of Apigee X and Google Kubernetes Engine (GKE) is highly desirable.

Programming and Generative AI Proficiency: Must be proficient in Python and possess a strong understanding of Generative AI (Gen AI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) techniques.

Data Visualization Skills: Demonstrate working knowledge of creating dashboards using Google Cloud Platform tools, Grafana, Power BI, Tableau, or similar data visualization platforms.

Infrastructure as Code (IaC) with Terraform: Possess practical experience in provisioning Google Cloud Platform resources using Terraform for Infrastructure as Code (IaC).

Security and Policy Management: Exhibit a solid understanding of Sentinel policies and Terraform workspaces.

Communication Skills: Excellent verbal and written communication skills are essential.

Work Location: This position requires working from the Charlotte Brevard office.

Flexibility: Ability to work extended hours as needed.

Ownership and Accountability: Demonstrated ability to take ownership of deliverables and work independently.

Personal Attributes: Must be self-motivated, results-oriented, and possess strong observational skills.

Must skills:

AWS Bedrock

Google Cloud Platform

AI/ML

GEN AI

Kubernetes

IAM