[Hiring] Technical Content Developer Associate Manager, AI POD @Accenture

Role Description

Join the Learning Experience team and help build the AI learning experiences that power effective workforce upskilling at enterprise scale. As a Senior Technical Content Developer, AI, you'll take design requirements and learning objectives from the curriculum roadmap and partner with subject matter experts to build course modules, hands-on labs, projects, and assessments.

• Own the technical accuracy and instructional quality of what you produce so that learners can demonstrate new AI skills on the job.
• Develop technical learning experiences (courses, modules, hands-on labs, projects, quizzes, and assessments) against defined design requirements and learning objectives for the AI and machine learning domain.
• Author and test hands-on labs, notebooks, and projects end to end, ensuring model access, API keys, datasets, and coding environments are configured correctly, and working solutions are reproducible by every learner.
• Build labs and projects on current AI practice, including machine learning fundamentals, LLM application development, retrieval, tool calling, agent systems, evaluation, and responsible use.
• Build assessments, quizzes, and other instructional design elements that measure whether the target skill was actually acquired, in line with LearnVantage learning standards.
• Validate the technical accuracy of all content, partnering with subject matter experts and authors to keep pace with changes in models, frameworks, tooling, and industry practice.
• Retire and rebuild content that the field has outgrown, deciding what is durable enough to teach and what will not survive the next model release.
• Coach new authors through the course development process and give pedagogical feedback on their content from the learner’s perspective.
• Use AI tooling to accelerate drafting, iteration, and QA of content, raising throughput without sacrificing quality.
• Incorporate feedback from testers, learners, and reviewers into content revisions, and use learner outcome data to improve course effectiveness.

Qualifications

• Minimum 4 years of professional experience in machine learning, including model development with PyTorch or scikit-learn and statistical analysis of model performance.
• Minimum 4 years of hands-on programming experience in Python, including writing, testing, and debugging code that other people will run.
• Minimum 4 years of experience in instructional design, curriculum development, or teaching technical content to adult learners, grounded in adult learning science (scaffolding, retrieval practice, cognitive load, and assessment).
• Minimum 2 years of experience building applications on large language models, including retrieval, prompting patterns, structured outputs, and tool calling.
• Minimum 1 year of experience building agent systems, including agent loops, tool integration, and multi-agent orchestration with frameworks such as LangGraph or the OpenAI Agents SDK.
• Minimum 1 year of experience evaluating LLM or agent systems, including building eval sets, LLM-as-judge scoring, and groundedness or faithfulness metrics.
• Minimum 1 year of experience developing software with AI coding assistants or agents such as Claude Code, Cursor, or GitHub Copilot.
• Minimum 2 years of hands-on experience with cloud AI and data services on AWS, Azure, or Google Cloud Platform.
• Minimum 2 years of experience with AI tooling for drafting, iteration, and QA of written and technical content.
• Minimum 2 years 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).

Requirements

• Bonus Points If:
• You have experience with SQL and relational data modeling.
• You have experience with data visualization or business intelligence tools such as Matplotlib, Tableau, or Power BI.
• You have experience building or consuming Model Context Protocol (MCP) servers.
• You have experience with LLM observability and tracing tools such as Langfuse, Phoenix, or LangSmith.
• You have experience applying AI security and responsible use practices to applications, including prompt injection defense, guardrails, and data handling review.
• You have experience with fine-tuning or post-training methods such as supervised fine-tuning, DPO, or reinforcement fine-tuning.
• You have experience with natural language processing, computer vision, or multimodal models.
• You have experience with data engineering and big data tools such as Apache Spark, Kafka, Snowflake, or Databricks.
• You hold a current AI or machine learning certification from AWS, Microsoft, Google Cloud, or NVIDIA.
• You have experience developing asynchronous online course content.

Benefits

• Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage.
• 401(k) plan, bonus opportunities, paid holidays, and paid time off.