Data Architect at Accenture

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Expert & Leadership (9+ years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Conversational AIIndustries

Requirements

Minimum 15-18+ years of experience in enterprise solution architecture, with 4+ years in Google Cloud AI/ML, Conversational AI platforms, Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI
Deep expertise in Dialogflow CX, CCAI Insights, Agent Assist, Gen AI APIs (LLMs, PaLM, Gemini), GCP architecture, and Google Cloud Platform Architecture
Hands-on experience with CCAI/Dialogflow CX and generative AI understanding
Strong understanding of AI/ML algorithms, NLP techniques, chatbot and generative AI models, prompt engineering
Experience with cloud or on-prem application pipelines with production-ready quality
Experience integrating AI solutions with CRMs, contact center platforms (e.g., Genesys, Five9), and backend systems
Strong leadership in managing large transformation programs involving AI chatbots, voice bots, and omnichannel virtual agents
Proven ability to engage with senior stakeholders, define AI strategies, and align technical delivery with business goals
Exceptional communication, thought leadership, and stakeholder management skills
15 years full-time education; strong educational background in computer science, mathematics, or related field
Certifications in Google Cloud (e.g., Professional Cloud Architect, Cloud AI Engineer) are a strong plus
Good to have: Cloud Data Architecture, Cloud ML/PCA/PDE Certification

Responsibilities

Own the end-to-end architecture and solution design for large-scale CCAI implementations across industries
Define best practices, reusable frameworks, and architectural patterns using Google Dialogflow CX, Agent Assist, Knowledge Bases, and Gen AI capabilities
Act as a strategic advisor to stakeholders on modernizing and transforming customer experience through Conversational AI
Lead technical teams and partner with product, operations, and engineering leaders to deliver high-impact AI-first customer service platforms
Oversee delivery governance, performance optimization, and scalability of deployed CCAI solutions
Evaluate and integrate cutting-edge Gen AI models (LLMs, PaLM, Gemini) to enhance virtual agent performance and personalization
Enable and mentor architects, developers, and consultants on Google Cloud AI/ML tools and CCAI strategies
Define the data requirements and structure for the application; model and design the application data structure, storage, and integration

Skills

Key technologies and capabilities for this role

Google Cloud Platform ArchitectureGoogle Cloud Machine Learning ServicesGoogle Dialogflow CXAgent AssistKnowledge BasesGen AICCAIData Architecture

Questions & Answers

Common questions about this position

What is the minimum experience required for this Data Architect role?

Minimum 15 year(s) of experience is required, with 10+ years in enterprise solution architecture and 4+ years in Google Cloud AI/ML and Conversational AI platforms.

What are the must-have skills for this position?

The must-have skill is Google Cloud Platform Architecture.

What certifications are recommended for this role?

Certifications in Google Cloud such as Professional Cloud Architect and Cloud AI Engineer are a strong plus.

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

This information is not specified in the job description.

What is the salary or compensation for this Data Architect role?

This information is not specified in the job description.

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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