LLM Operations Engineer at Accenture

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

Minimum 5 years of experience in Machine Learning Operations
Proficiency in Machine Learning Operations (Must Have skill)
15 years full time education
Experience with cloud-native platforms such as AWS, Azure, or Google Cloud (Good to Have skill)
Strong understanding of model deployment strategies and monitoring tools
Experience with containerization technologies like Docker and Kubernetes
Familiarity with compliance and security standards in AI operations
Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks
Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization

Responsibilities

Utilize cloud-native services and tools for scalable and efficient deployment
Monitor LLM performance
Address operational challenges
Ensure compliance and security standards in AI operations
Act as a Subject Matter Expert (SME)
Collaborate and manage the team to perform
Be responsible for team decisions
Engage with multiple teams and contribute to key decisions
Provide solutions to problems for immediate team and across multiple teams
Facilitate knowledge sharing sessions to enhance team capabilities
Develop and implement best practices for operational efficiency
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 for measurable impact

Skills

Machine Learning Operations

MLOps

Cloud-Native Services

AWS

Azure

Google Cloud

Model Deployment

Monitoring Tools

Containerization

LLM Operations

AI Security

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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