Forward Deployed Engineer

New

AccentureAI engineering

Source API remote eligibility restrictions: United StatesFull-TimeMiddle

Salary30.67 - 98.94 USD per hour

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Job Details

Experience: Minimum of 3 years of demonstrated expertise in successfully designing and building resilient AI systems or products; minimum 3 years of experience designing and creating AI Solutions using design patterns like retrieval augmentation generation (RAG) and handling data pipelines; minimum of 3 years of experience in Engineering teams; minimum of 3 years of experience working with application services from at least one public cloud; minimum of 2 years of experience working in AI Engineering; minimum of 1 years of experience leading a team or being part of team management.
Required Skills: PythonJavaJavascriptSpringGoPrompt Engineering

Have at least 3 years of experience designing and building resilient AI systems or products, implementing controls and guardrails, context engineering, and using Evals in AI systems.
Have at least 3 years of experience with Continuous Integration, Continuous Delivery, and production practices such as tracing, logging, and unit testing.
Have at least 3 years of experience designing AI solutions with retrieval augmentation generation (RAG) and handling data pipelines.
Have at least 3 years of engineering-team experience with one or more programming languages or frameworks, such as Python, JavaScript, Java, Spring, or GoLang.
Have experience with AI frameworks such as Autogen, LangGraph, or Semantic Kernel.
Have at least 3 years of experience with application services from at least one public cloud, including AI and GenAI services.
Have at least 2 years of AI engineering experience building applications or products, including fine-tuning, prompt engineering, and performance optimization for token utilization and latency.
Have at least 1 year of experience leading a team or participating in team management.
Have a bachelor's degree or equivalent work experience of at least 12 years; an associate's degree requires at least 6 years of work experience.

Design, develop, and optimize AI prompts and applications powered by foundation models, including LLMs.
Architect and implement generative agent systems using frameworks for multi-model coordination.
Develop application and component strategies covering user experience and backend systems.
Define, evaluate, and optimize AI system architectures using relevant frameworks and best practices.
Conduct code reviews, guide enhancements and issue resolution, and ensure engineering standards.
Build and maintain scalable machine-learning infrastructure, including distributed training pipelines and integrations with APIs and tools.
Evaluate AI systems for robustness, safety, fairness, and hallucination risks.
Collaborate with business leaders, engineers, architects, and designers to align AI systems with business objectives.
Troubleshoot issues during testing and in production environments.
Document technical architecture, methodologies, and innovations.

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