Forward Deployed Engineer

Accenture

Quick summary

Work type: On-site
Location: Mountain View, CA · Milwaukee, WI · Dallas, TX · Columbus, OH · Kirkland, WA
Posted: 3 days ago

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How this pay compares to similar roles

Similar $175k

$122k most similar roles pay here $226k

This listing doesn't post a salary. Most similar roles pay $134,000–$216,271.

Based on 240 similar postings.

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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 131 open roles on FindRole.

Listed pay typically runs $94,400–$235,100 across 89 roles with salary data.

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At a glance

TL;DR · Forward Deployed Engineer

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As a Forward Deployed Engineer at Accenture’s Data & AI organization, you will join a team of over 77,000 professionals dedicated to reshaping work and society through advanced technologies. Your role involves designing, building, and deploying next-generation AI systems powered by Large Language Models (LLMs), including fine-tuning models, prompt engineering, and system integration. You will develop scalable machine learning infrastructure, conduct thorough code reviews, and collaborate with cross-functional teams to ensure alignment with business objectives. The ideal candidate has at least 3 years of experience in designing resilient AI systems using Python, JavaScript, Java, Spring, or GoLang, along with expertise in frameworks like Autogen, LangGraph, and Semantic Kernel. Experience with public cloud platforms such as AWS, GCP, Azure, and Anthropic is essential, alongside a strong understanding of fine-tuning LLMs and performance optimization techniques.

Skills

Python JavaScript Java Spring GoLang AWS GCP Azure Autogen LangGraph SemanticKernel RAG CI/CD LLMs PromptEngineering TokenUtilization LatencyOptimization DistributedTrainingPipelines APIIntegration Tracing Logging UnitTesting ModelContextProtocol AgentProtocols AgenticAISystems

What you'll do

Design and optimize AI prompts for next-generation applications powered by LLMs.
Architect and implement generative agent systems using multi-model coordination frameworks.
Develop strategies for integrating AI systems into products, focusing on user experience and backend systems.
Conduct thorough code reviews to ensure adherence to engineering standards and best practices.
Build scalable machine learning infrastructure, including distributed training pipelines and API integrations.
Apply advanced evaluation methodologies to enhance model robustness, safety, and fairness.

What we're looking for

Minimum 3 years of experience designing and building resilient AI systems.
Strong command over programming languages like Python, JavaScript, Java, Spring or GoLang.
Expertise in fine-tuning Large Language Models (LLMs) and prompt engineering.
Experience implementing best practices for AI systems in production environments.
Proficiency in working with public cloud platforms for AI services.
Minimum 1 year of experience leading a team in AI-driven project environments.

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