IT Customer Services Specialist

Mployee.me; Dadri; Remote; INR 1,800,000 - 2,400,000; Full time

Job summary

Accenture LearnVantage is seeking a Content Learning Architect, AI, to maintain and improve AI curriculum. You will handle incoming issues, learner feedback, and testing data to deliver accurate, high-quality content across AI topics.

Collaborate with mentor operations, learner services, and solution architects. You will own the technical accuracy and instructional quality of AI content in the catalog, ensuring alignment with standards and improving learner outcomes through targeted revisions

Qualifications

• 3+ years AI/ML experience including generative AI and LLMs.
• 3+ years Python with AI stack.
• 1+ year building LLM-powered apps incl. prompt engineering.
• 1+ year agentic AI with tool calls and single-agent workflows.
• 1+ year cloud AI platform experience (Bedrock, Azure OpenAI, Vertex AI).
• Bachelor’s degree or equivalent (12 years).

Responsibilities

• Triage and fix urgent AI content issues, including broken code or failing labs.
• Review and revise content against quality standards and style guidelines.
• Analyze learner feedback, test data, and support signals to prioritize revisions.
• Identify drop-off points and revise material before learners stall.
• Review content submissions from contributor network and ensure outcomes are met.
• Tailor learning journeys by sequencing content into effective paths.

Skills

AI/ML hands-on

Python

LLM apps

Prompt engineering

English proficiency

Education

Bachelor’s degree or equivalent

Tools

Hugging Face Transformers

PyTorch

scikit-learn

NumPy

pandas

Git

Job description

Accenture LearnVantage helps organizations transform how their people learn and work. We partner with enterprise clients to design and deliver high-quality, scalable, outcome-driven learning that builds the skills their workforces need. Udacity, now part of Accenture LearnVantage, brings deep expertise in technical upskilling through hands-on, project-based online learning. Together we build learning experiences that help people gain in-demand skills in AI, machine learning, data, and more.

The Work:

Join the Content Maintenance and Labs team and keep the AI curriculum accurate, current, and working for every learner who touches it. As a Content Learning Architect, AI, you’ll take incoming issue reports, learner and customer feedback, testing data, and submissions from our content contributor network, and turn them into fixes and revisions that ship. You’ll own the technical accuracy and instructional quality of the AI content already in the catalog, working with mentor operations, learner services, and solution architects.

• Triage and correct urgent content issues, including broken code, failing labs, and technical solutions that no longer run against current models, APIs, or libraries.
• Review and revise course content against quality standards and style guidelines, covering both the instructional design and the technical solutions.
• Analyze learner and customer feedback, user testing data, and support signals, and prioritize the revisions that will most improve learner outcomes.
• Identify potential drop‑off points in program content, and revise the material before learners stall there.
• Review and approve content submissions from the content contributor network, and confirm that accepted improvements deliver the outcomes they promised.
• Tailor learning journeys to the outcomes a learner or client is working toward, sequencing existing content into paths that get them there.
• Develop assessments that gauge applicant readiness for admission to a learning journey.

In this role, you’ll report into a Content Maintenance and Labs Senior Manager.

This role is remote and based in India.

Here’s What You Need:

• Minimum 3 years of professional experience in artificial intelligence and machine learning, including hands‑on work with generative AI and large language models.
• Minimum 3 years of experience with Python and the generative AI stack (Hugging Face Transformers, PyTorch), with working knowledge of scikit‑learn, NumPy, and pandas.
• Minimum 1 year of experience building LLM‑powered applications, including prompt engineering, retrieval‑augmented generation, and evaluating output quality.
• Minimum 1 year of experience with agentic AI, including tool and function calling and single‑agent workflows, using frameworks such as LangGraph, CrewAI, or the OpenAI or Anthropic agent SDKs.
• Minimum 1 year of hands‑on experience with a managed cloud AI platform such as Amazon Bedrock, Azure AI Foundry or Azure OpenAI, or Google Vertex AI.
• Minimum 1 year of experience developing software with AI coding assistants or agents such as Claude Code, Cursor, or GitHub Copilot.
• Minimum 3 years of experience troubleshooting and repairing technical learning content, including debugging code and fixing broken environments.
• Professional working proficiency in written and spoken English, including copy‑editing technical content against documented quality standards and style guidelines.
• Minimum 3 years of experience in instructional design, curriculum development, or teaching technical content to adult learners.
• Minimum 1 year of experience with version control tools like Git.
• Bachelor’s degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Bonus Points If:

• You have built and operated production agentic systems at scale, including multi‑agent orchestration, guardrails, and evaluation and observability.