Technology Architect
Accenture · Bengaluru · onsite · Posted 49d ago
Undisclosed2–5 yrsfulltimeSourced from
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About this role
Project Role :Technology Architect
Project Role Description :Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs.
Must have skills :Google Cloud Platform Architecture
Good to have skills :NA
Minimum 3year(s) of experience is required
Educational Qualification :15 years full time education
Summary:
As an AI/ML Data Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots.
Roles Responsibilities:
oProgramming:Strong knowledge of Python and exposure to at least one framework
oAPIs JSON:Hands-on experience designing and integrating APIs, working with JSON payloads
oCloud:Practical knowledge of Google Cloud Platform (Cloud Run, Vertex AI, Cloud Functions, Pub/Sub, IAM, etc.)
oVersion Control:Proficiency with Git/GitHub workflows
oExperience with CI/CD pipelines for GCP
oPrompt Engineering:Ability to refine prompts for AI/LLM-based responses (Good to have)
oFamiliarity with DialogFlow CX / CCAI or other chatbot platforms (Good to have)
Professional Technical Skills:
Must To Have Skills: Proficiency in Google Cloud Platform Architecture.
Good To Have Skills:Experience with cloud migration strategies and best practices.
- Strong understanding of microservices architecture and containerization.
- Experience with infrastructure as code tools such as Terraform or CloudFormation.
- Familiarity with security best practices in cloud environments.
Additional Information:
- The candidate should have minimum 3 years of experience in Google Cloud Platform Architecture.
Should have experience in Back-end integration developers
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
Qualification
15 years full time education
Project Role Description :Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs.
Must have skills :Google Cloud Platform Architecture
Good to have skills :NA
Minimum 3year(s) of experience is required
Educational Qualification :15 years full time education
Summary:
As an AI/ML Data Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots.
Roles Responsibilities:
oProgramming:Strong knowledge of Python and exposure to at least one framework
oAPIs JSON:Hands-on experience designing and integrating APIs, working with JSON payloads
oCloud:Practical knowledge of Google Cloud Platform (Cloud Run, Vertex AI, Cloud Functions, Pub/Sub, IAM, etc.)
oVersion Control:Proficiency with Git/GitHub workflows
oExperience with CI/CD pipelines for GCP
oPrompt Engineering:Ability to refine prompts for AI/LLM-based responses (Good to have)
oFamiliarity with DialogFlow CX / CCAI or other chatbot platforms (Good to have)
Professional Technical Skills:
Must To Have Skills:
Good To Have Skills:Experience with cloud migration strategies and best practices.
- Strong understanding of microservices architecture and containerization.
- Experience with infrastructure as code tools such as Terraform or CloudFormation.
- Familiarity with security best practices in cloud environments.
Additional Information:
- The candidate should have minimum 3 years of experience in Google Cloud Platform Architecture.
Should have experience in Back-end integration developers
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
Qualification
15 years full time education
Sourced from naukri
Skills
TerraformGithubData Engineeraws iamneural networksgoogle cloud platforminfrastructure as codeChatbotaws cloudformationLarge Language Models (LLMs)JSONBackendPythonCloud MigrationArchitectureDeep LearningMicroservicesGITArtificial Intelligence
About Accenture

Accenture
IT Services & Consulting
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1989
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