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Accenture · 2 weeks ago

Forward Deployed Engineer Manager

Albany, New York Metropolitan Area

Full-time

Hybrid

Mid, Senior Level

$94K/yr - $294K/yr

4+ years exp

Accenture is a leading company in Data & AI, committed to helping clients optimize their business through innovative solutions. The Forward Deployed Engineer Manager will design, build, and deploy advanced AI systems, focusing on the full AI lifecycle and collaborating with cross-functional teams to align AI with business objectives.

Business Information SystemsConstructionConsultingInformation ServicesInformation TechnologyInfrastructureManagement ConsultingOutsourcing

No H1B

Responsibilities

Design, develop, and optimize AI prompts and next-generation applications powered by foundation models, including Large Language Models (LLMs)

Architect and implement generative agent systems using frameworks for multi-model coordination to tackle complex tasks

Develop application and component strategies, overseeing both user experience and backend systems

Define, evaluate, and optimize AI system architectures, leveraging relevant frameworks and best practices

Conduct thorough code reviews, provide expert guidance on enhancements and issue resolution, and ensure adherence to engineering standards

Build and maintain scalable machine learning infrastructure, including distributed training pipelines and seamless integration with APIs and tools

Apply advanced evaluation methodologies to ensure model robustness, safety, fairness, and minimize hallucination risks

Collaborate closely with cross-functional teams—including business leaders, engineers, architects, and designers—to align AI systems with business objectives

Support troubleshooting and issue resolution during testing phases as well as in production environments

Document technical architecture, methodologies, and innovations for effective knowledge transfer and ongoing advancement

Qualification

AI system designLarge Language ModelsAI prompt engineeringCloud services AWSCloud services GCPCloud services AzureProgramming PythonProgramming JavaScriptProgramming JavaProgramming GoLangAI frameworks AutogenAI frameworks LangGraphContinuous Integration/DeliveryTroubleshootingTeam managementDocumentation

Required

Minimum of 4 years of demonstrated expertise in successfully designing and building resilient AI systems or products, implementing controls and guardrails, context engineering, utilizing Evals in AI systems, Continuous Integration, Continuous Delivery, and experience implementing best practices in implementing AI systems in production such as tracing, logging and unit testing

Minimum 4 years of experience designing and creating AI Solutions using design patterns like retrieval augmentation generation (RAG) and handling data pipelines

Minimum of 4 years of experience in Engineering teams with one or more programming languages and frameworks, such as Python, JavaScript, Java, Spring or GoLang, showcasing a strong command over the technical foundations and mastery of one or more AI Frameworks like Autogen, LangGraph or Semantic Kernel and others

Minimum of 4 years of experience working with application services from at least one public cloud (AWS, GCP, Azure, etc.), including use of AI and GenAI services and capabilities on these or similar platforms such as Anthropic

Minimum of 3 years of experience working in AI Engineering building applications or products with strong understanding of fine tuning & prompt engineering, performance optimization including token utilization and latency

Minimum of 2 years of experience leading a team or being part of team management, preferably in AI-driven project environments

Bachelor's degree or equivalent (minimum 12 years) work experience. (If associate's degree, must have minimum 6 years' work experience)

Preferred

Experience training, fine-tuning, and evaluating LLMs and multimodal foundation models using advanced techniques such as self-supervised and transfer learning

Experience designing value justification frameworks for AI solutions, including cost estimation, ROI calculation, and tradeoff analysis

Experience building AI solutions that utilize Model Context Protocol, Agent to Agent protocols and understanding of evolving agent standards and protocols

Experience developing applications for both mobile and web platforms, showcasing versatility and adaptability in diverse environments

Experience developing Agentic AI systems