Forward Deployed Engineer Manager

Accenture

Remote

Quick summary

Work type
Remote
Location
Seattle, WASt. Louis, MOPhiladelphia, PAHouston, TXBentonville, AR
Salary
$94,400–$293,800 / yr
Posted
4 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $198k
This role $194k
$70k most similar roles pay here $318k

This role pays more than 51% of similar roles. Most pay $157,350–$239,400 — the shaded band above. At the midpoint, this role pays about $194k versus about $198k for comparable roles.

Based on 238 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 133 open roles on FindRole.

Listed pay typically runs $94,400–$235,100 across 91 roles with salary data.

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At a glance

TL;DR · Forward Deployed Engineer Manager

As a Forward Deployed Engineer Manager in Accenture’s Data & AI organization, you will lead the design and deployment of next-generation AI systems powered by Large Language Models (LLMs), contributing to all stages of the AI lifecycle from research and fine-tuning to system integration. Your daily tasks include developing and optimizing AI prompts, architecting generative agent systems, and building scalable machine learning infrastructure. You must have expertise in Python, JavaScript, Java, Spring, or GoLang, along with experience using frameworks like Autogen and Semantic Kernel. Additionally, you should be proficient in public cloud platforms such as AWS, GCP, Azure, and Anthropic, and possess a strong understanding of AI engineering principles including fine-tuning, prompt engineering, and performance optimization. This role requires at least 4 years of hands-on experience in designing resilient AI systems and leading teams in AI-driven projects.

What you'll do

  • Design, develop, and optimize AI prompts and applications powered by Large Language Models (LLMs).
  • Architect generative agent systems using frameworks for multi-model coordination to solve complex tasks.
  • Develop strategies for integrating AI into products, focusing on both user experience and backend systems.
  • Conduct code reviews and provide expert guidance to enhance system performance and resolve issues.
  • Build scalable machine learning infrastructure, including distributed training pipelines and API integrations.
  • Apply advanced evaluation methodologies to ensure model robustness, safety, fairness, and minimize risks.
  • Support troubleshooting and issue resolution during testing phases and in production environments.

What we're looking for

  • Minimum 4 years of experience designing and building resilient AI systems.
  • Strong command over technical foundations, including programming languages like Python or frameworks such as Autogen.
  • Experience working with public cloud services for AI and GenAI applications.
  • At least 3 years of hands-on experience in fine-tuning LLMs and prompt engineering.
  • Proven ability to lead an engineering team in AI-driven project environments.
  • Expertise in evaluating and optimizing AI system architectures for robustness and safety.
  • Experience in developing scalable machine learning infrastructure and integration with APIs.

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