Custom Software Engineer at Accenture

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, FinanceIndustries

Requirements

Minimum 5 years of experience in Machine Learning
Proficiency in Machine Learning
Strong understanding of various machine learning algorithms and their applications
Experience with data preprocessing techniques to prepare datasets for analysis
Familiarity with programming languages such as Python or R for implementing machine learning models
Ability to evaluate model performance and optimize algorithms for better accuracy
15 years full time education

Responsibilities

Develop custom software solutions to design, code, and enhance components across systems or applications using modern frameworks and agile practices
Analyze, design, code, and test various components of application code across multiple clients
Collaborate with team members to perform maintenance and enhancements, ensuring applications meet evolving user needs and adhere to best practices
Enable trusted, enterprise-ready adoption of AI as an AI Engineer
Consume, integrate, and operationalize advanced AI models (LLMs, SLMs) into secure, governed, scalable business solutions
Enforce governance by design, including data-handling policies in code (prompt redaction middleware, retrieval allow-lists, per-use-case policies)
Implement Prompt/Agent CI/CD with evaluation gates (answer quality, safety), canary deploys with feature flags, and automated rollback on drift
Manage model lifecycle, including SLM/LoRA fine-tuning with consented datasets, synthetic augmentation policies, and model registry entries with lineage
Implement observability, including tracing (request → retrieved docs → model output → tool calls), latency & cost SLOs, and alerts on hallucination/safety incidents
Develop provider abstraction wrapping OpenAI/Gemini/Azure OpenAI/Vertex behind an interface, capturing provider/region, model/version, and quota routing
Handle RAG Ops, including scheduling index rebuilds, freshness windows, incremental sync, and search quality dashboards with regression alerts
Develop APIs and microservices to integrate AI with internal/external applications
Partner with business stakeholders to identify and validate use cases

Skills

Machine Learning

Large Language Models

Small Language Models

LLMs

SLMs

Prompt Engineering

CI/CD

Governance

Model Fine-tuning

LoRA

Observability

Tracing

Feature Flags

Data Lineage

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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