[Hiring] IT Customer Services Specialist @Accenture

Role Description

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.

Qualifications

• 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.