Application Developer at Accenture

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Minimum 12 years of experience in Databricks Unified Data Analytics Platform
Proficiency in Databricks Unified Data Analytics Platform (Must Have)
Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks
Experience with Microsoft Azure DevOps (Good to Have)
Strong understanding of data integration and ETL processes
Experience in application lifecycle management and deployment
Familiarity with cloud computing concepts and services
15 years full-time education
AI-first mindset with ability to align AI capabilities with business objectives, ensuring scalability, responsible use, and value realization
Based at Bengaluru office

Responsibilities

Lead AI-driven solution design and delivery using GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows
Design, build, and configure applications to meet business process and application requirements
Collaborate with stakeholders to gather requirements and develop innovative solutions
Optimize applications for performance and usability
Participate in testing and debugging processes
Collaborate and manage the team to perform
Responsible for team decisions
Engage with multiple teams and contribute to key decisions
Provide solutions to problems that apply across multiple teams
Facilitate knowledge sharing sessions to enhance team capabilities
Monitor project progress and ensure alignment with business objectives
Act as Subject Matter Expert (SME) in AI-driven solutions

Skills

Databricks

Databricks Unified Data Analytics Platform

Microsoft Azure DevOps

Generative AI

Agentic AI

AI solution design

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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