Senior Forward Deployed Engineer – AI

International Business Machines Corporation; Boston (MA); A distancia; USD 140.000 - 220.000; Jornada completa

Descripción de la vacante

International Business Machines Corporation is seeking a Forward Deployed Engineer - AI to work directly with clients, turning complex business challenges into production-ready AI solutions. You will blend software engineering, data science, GenAI, agentic AI and analytics to rapidly prototype, deploy, and scale valuable AI offerings.

You will partner with business and technical teams to define AI use cases, build end-to-end AI systems, and ensure guardrails, observability, and reliability are

Responsabilidades

• Identify AI opportunities and success metrics with clients.
• Develop end-to-end GenAI, RAG, and agentic AI apps using LangGraph, CrewAI, and cloud platforms.
• Design and implement LLM-powered agents, tool use, orchestration, prompts, and evaluation.
• Prepare structured and unstructured data and integrate AI with enterprise systems and APIs.
• Apply MLOps/LLMOps, monitoring, and responsible AI practices to productionize solutions.
• Present insights, drive adoption, and reuse assets for future engagements.

Conocimientos

Client engagement

GenAI development

LLM orchestration

MLOps

Herramientas

LangGraph

CrewAI

Vertex AI

Azure AI Foundry

Amazon Bedrock

Descripción del empleo

Your Role and Responsibilities

As a Forward Deployed Engineer - AI, you will work directly with clients to transform complex business challenges into production-ready AI solutions. Combining software engineering, data science, GenAI, agentic AI, and advanced analytics, you will rapidly prototype, deploy, and scale solutions that deliver measurable business value.

• Solve Client Challenges: Partner with business and technical teams to identify opportunities, define AI use cases, and establish success metrics.
• Build and Deploy AI Solutions: Develop end-to-end GenAI, RAG, and agentic AI applications using tools such as LangGraph, CrewAI, and hyperscaler cloud AI platforms (e.g., AWS, Google, Azure).
• Engineer Agentic and GenAI Systems: Design and implement LLM-powered agents, tool use and orchestration, prompt and context engineering, and evaluation frameworks using platforms such as LangGraph, CrewAI, Vertex AI, Azure AI Foundry, or Amazon Bedrock. Apply guardrails, observability, and testing to ensure accuracy, safety, and reliability.
• Data Engineering and Integrations: Prepare structured and unstructured data and integrate AI solutions with enterprise systems, APIs, and data platforms.
• Scale and Operationalize AI: Apply MLOps/LLMOps, testing, monitoring, and responsible AI practices to ensure solutions are reliable, secure, and production-ready.
• Drive Business Impact: Present insights, demonstrate outcomes, support client adoption, and turn successful solutions into reusable assets for future engagements.

This job can be performed from anywhere in the US.