LLM Operations Engineer
This role at Accenture focuses on deploying and managing Large Language Models using cloud-native infrastructure. The engineer will monitor performance, troubleshoot operational issues, and ensure adherence to AI security and compliance protocols. The candidate will work independently as a subject matter expert and collaborate with cross-functional teams to improve deployment workflows. A minimum of 3 years of relevant experience is required.
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Experience
3+ years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
This role at Accenture focuses on deploying and managing Large Language Models using cloud-native infrastructure. The engineer will monitor performance, troubleshoot operational issues, and ensure adherence to AI security and compliance protocols. The candidate will work independently as a subject matter expert and collaborate with cross-functional teams to improve deployment workflows. A minimum of 3 years of relevant experience is required.
TAL's take
Solid Tier 2 role for a large consulting firm with clearly defined responsibilities in the evolving field of LLM operations.
Role requirements and responsibilities are well-defined and aligned, though it lacks a specific list of cloud providers or tech stacks.
Salaries at Accenture
12.7 LPA average
Based on 5,657 Grapevine salary entries for Accenture.
Engineering
0 - 2 years | L12
8 LPA average
Range: 2 - 430 LPA
Engineering
2 - 4 years | L10
6 LPA average
Range: 2 - 24 LPA
Engineering
4 - 6 years | L9
9 LPA average
Range: 3 - 28 LPA
Engineering
6 - 8 years | L9
14 LPA average
Range: 5 - 32 LPA
Must haves
- 3+ years experience with Large Language Models
- Proficiency in cloud-native services for AI model deployment
- Understanding of operational challenges in AI systems
- Familiarity with AI compliance and security standards
Tools and skills
About the company
Accenture is a major global consultancy; while not a tech product firm, it is a well-established Tier 2 organization.
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