LLM Operations Engineer at Accenture

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

Minimum 3 years of experience in Large Language Models
Proficiency in Large Language Models (Must Have)
Experience with cloud-native services and tools (Good to Have)
SAP MM knowledge (Good to Have)
Strong understanding of AI operational compliance and security standards
Familiarity with performance monitoring tools and techniques
Experience in troubleshooting and optimizing AI model performance
15 years full-time education
Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks (from additional summary)

Responsibilities

Utilize cloud-native services and tools for scalable and efficient deployment of large language models
Monitor LLM performance
Address operational challenges
Ensure compliance and security standards in AI operations
Perform independently and become a Subject Matter Expert (SME)
Actively participate and contribute in team discussions
Contribute to providing solutions to work-related problems
Assist in the development and implementation of best practices for LLM operations
Collaborate with cross-functional teams to identify and resolve operational issues
Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows

Skills

Large Language Models

Cloud Integration

SAP MM

AI Operations

Performance Monitoring

Cloud-Native Services

Security Standards

Compliance

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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