Technical Content Developer Associate Manager, AI POD

Accenture • Milwaukee, NY

4d • Remote

About The Position

Accenture LearnVantage, including Udacity, develops scalable, outcome-driven learning experiences that help enterprise workforces build skills in AI, machine learning, data, and related areas. The Technical Content Developer Associate Manager will join the Learning Experience team and work in a curriculum pod to create technical learning experiences for the AI and machine learning domain. The role is described in the posting’s work section as Senior Technical Content Developer, AI, and is US remote.

The position turns curriculum requirements and learning objectives into courses, modules, hands-on labs, notebooks, projects, quizzes, and assessments. It combines practical experience in machine learning, Python, LLM applications, and agent systems with adult-learning principles. The developer owns technical accuracy and instructional quality, tests materials end to end, and ensures that solutions and learner environments are correctly configured and reproducible. The role also keeps content current as models and tools evolve, coaches authors, uses AI tools to accelerate development and quality assurance, and incorporates reviewer, tester, learner, and outcome-data feedback. The position reports to a Technical Curriculum Lead. Travel may be required, ranging from 0–100% depending on client and business need.

Accenture describes a market-competitive benefits package that includes medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. The role’s salary range depends on location; listed annual ranges vary by state and district. The posting states it is anticipated to remain posted until 12/13/2026.

Requirements

• At least 4 years of professional machine-learning experience, including model development with PyTorch or scikit-learn and statistical analysis of model performance.
• At least 4 years of hands-on Python programming experience, including writing, testing, and debugging code intended for others to run.
• At least 4 years of experience in instructional design, curriculum development, or teaching technical content to adult learners, grounded in adult learning science, including scaffolding, retrieval practice, cognitive load, and assessment.
• At least 2 years of experience building applications on large language models, including retrieval, prompting patterns, structured outputs, and tool calling.
• At least 1 year of experience building agent systems, including agent loops, tool integration, and multi-agent orchestration using frameworks such as LangGraph or the OpenAI Agents SDK.
• At least 1 year of experience evaluating LLM or agent systems, including building evaluation sets, LLM-as-judge scoring, and groundedness or faithfulness metrics.
• At least 1 year of experience developing software with AI coding assistants or agents such as Claude Code, Cursor, or GitHub Copilot.
• At least 2 years of hands-on experience with cloud AI and data services on AWS, Azure, or Google Cloud Platform.
• At least 2 years of experience using AI tools for drafting, iteration, and quality assurance of written and technical content.
• At least 2 years of experience with version control tools such as Git.
• Bachelor’s degree or equivalent (at least 12 years of work experience); candidates with an associate degree must have at least 6 years of work experience.
• Applicants for US employment must have work authorization that does not now or in the future require visa sponsorship.

Nice To Haves

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

Responsibilities

• Develop technical learning experiences—including courses, modules, hands-on labs, projects, quizzes, and assessments—based on defined design requirements and learning objectives for AI and machine learning.
• Author and test 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 learners.
• Build labs and projects covering current AI practice, including machine learning fundamentals, LLM application development, retrieval, tool calling, agent systems, evaluation, and responsible use.
• Create assessments, quizzes, and other instructional design elements that measure skill acquisition and align with LearnVantage learning standards.
• Validate content accuracy with subject matter experts and authors, keeping pace with changes in models, frameworks, tools, and industry practice.
• Retire and rebuild outdated content, determining what is durable enough to teach as the field changes.
• Coach new authors through course development and provide pedagogical feedback from the learner’s perspective.
• Use AI tools to accelerate drafting, iteration, and quality assurance without sacrificing quality.
• Incorporate tester, learner, and reviewer feedback into revisions, and use learner-outcome data to improve course effectiveness.
• Collaborate with subject matter experts, authors, and testers across the LearnVantage team.

Benefits

• Medical coverage
• Dental insurance
• Vision insurance
• Life insurance
• Long-term disability coverage
• 401(k) plan
• Bonus opportunities
• Paid holidays
• Paid time off
• Access to certifications and learning resources
• Access to a global community of practitioners

What This Job Offers

• Job Type: Full-time
• Career Level: Manager