Technology Architect at Accenture

Bengaluru, Karnataka, India

Accenture Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries

Requirements

  • Minimum 3 year(s) of experience (additional note: minimum of 5 years in Google Cloud Machine Learning Services)
  • Must have skills: Google Cloud Platform Architecture, CCAI/Dialogflow CX hands-on experience, generative AI understanding
  • Good to have skills: Google Cloud Machine Learning Services, Cloud Data Architecture, Cloud ML/PCA/PDE Certification
  • Experience with programming languages such as Python/Node.js
  • Experience with AI/ML algorithms and techniques
  • Experience with chatbots, generative AI models, prompt engineering
  • Experience with cloud or on-prem application pipeline with production-ready quality
  • Educational Qualification: 15 years full time education (strong background in computer science, mathematics, or related field preferred)

Responsibilities

  • Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, Dialogflow CX, agent assist, conversational AI
  • Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX
  • Develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, Dialogflow CX, agent assist
  • Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services
  • Develop CCAI flows, pages, webhook as well as playbook and integration of tools into playbooks
  • Creation of agents in Agent builder and integrating them into end-to-end pipeline
  • Apply GenAI-Vertex AI models as part of the solution
  • Ensure proper cloud application pipeline with production-ready quality
  • Design and deliver technology architecture for a platform, product, or engagement; define solutions to meet performance, capability, and scalability needs

Skills

Key technologies and capabilities for this role

Google Cloud PlatformGoogle Cloud Machine Learning ServicesDialogflow CXAgent AssistConversational AIVertex AIPythonCCAIGenAIWebhookAgent Builder

Questions & Answers

Common questions about this position

What are the must-have skills for this Technology Architect role?

Must-have skills include Google Cloud Platform Architecture, CCAI/Dialogflow CX hands-on experience, and generative AI understanding. Additional requirements are experience with Google Cloud Machine Learning Services and programming languages such as Python/Node.js.

What is the minimum experience required for this position?

The role requires a minimum of 3 years of experience overall, with at least 5 years specifically in Google Cloud Machine Learning Services.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What makes a strong candidate for this Technology Architect position?

A strong candidate will have hands-on experience with CCAI/Dialogflow CX, generative AI, Google Cloud Machine Learning Services, and programming in Python/Node.js, along with 15 years of full-time education in computer science or a related field and a proven track record in data-driven solutions.

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters
1989Year Founded
$8.5MTotal Funding
IPOCompany Stage
Consulting, Enterprise Software, CybersecurityIndustries
10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.
Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.
The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.
The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.
Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.
The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.
Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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