Application Developer at Accenture

Indore, Madhya Pradesh, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

6–9 years of experience in software/data engineering with increasing technical ownership
Minimum 5 years of experience in Databricks Unified Data Analytics Platform
Expert-level Python programming and deep understanding of AWS serverless architecture and data services
Hands-on experience with Databricks (PySpark, SQL) and working with large-scale enterprise datasets
Strong grasp of RAG models, embeddings, and vector database design (e.g., pgvector, Pinecone, OpenSearch, or equivalent)
Proven experience with CI/CD, Terraform, Jenkins, and cloud-native deployment practices
Ability to mentor teams, conduct reviews, and influence technical decisions
15 years full time education
Relevant AWS, Databricks, or AI/ML certifications preferred

Responsibilities

Design and develop advanced ingestion pipelines for multiple enterprise data sources using AWS services
Architect and implement RAG data processing components (chunking, embeddings, vector storage) for optimal retrieval
Lead development of secure, scalable APIs and microservices powering the enterprise chatbot solution
Review code, enforce best practices, and mentor mid-level engineers on architecture and performance optimization
Collaborate with product and architecture teams to define technical roadmaps and integration strategies
Contribute to DevOps automation: Terraform-based infrastructure, Jenkins pipelines, and deployment governance
Monitor and optimize cloud resources for cost and performance efficiency across environments

Skills

Databricks

Python

Generative AI

AWS

RAG

Embeddings

Vector Storage

APIs

Microservices

Terraform

Jenkins

DevOps

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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