Forward-Deployed Engineer, AI GTM

NTT DATA Services•Plano, TX

1d•$121,162 - $280,469•Remote

About The Position

The Forward-Deployed Engineer is a client-facing builder within the AI GTM organization responsible for building demos, prototypes, proofs of concept, and MVPs that make AI opportunities tangible for clients and account teams. Working independently and in collaboration with senior FDEs and Solution Architects, this role translates client problems into working technical concepts using models, agents, data, workflows, integrations, and user experiences. It suits an engineer with solid hands-on experience who is ready to own build work in a fast-paced, field-facing environment.

Requirements

Approximately 5 years of experience in software engineering, AI engineering, data engineering, ML engineering, solution engineering, technical consulting, or related hands-on technical roles.
2+ years of experience building or deploying AI, ML, GenAI, LLM, RAG, agentic AI, data science, or automation solutions.
Hands-on experience with programming languages and frameworks such as Python, JavaScript/TypeScript, FastAPI, Flask, React, LangChain, LlamaIndex, PyTorch, or TensorFlow.
Experience integrating APIs, data sources, model providers, workflow tools, and cloud services into working demos or prototypes.
Working knowledge of responsible AI, security, data handling, privacy, and enterprise deployment considerations.
Bachelor's degree or equivalent work experience.

Nice To Haves

Experience with OpenAI, Anthropic, Mistral, Google/Gemini, Azure, AWS, GCP, Databricks, Snowflake, vector databases, or MLOps/LLMOps tooling.
Experience working directly with clients, sales teams, or product teams to rapidly prototype solutions under ambiguous conditions.
AI/ML, cloud, data engineering, or software engineering certifications.
Strong technical curiosity, client empathy, communication, bias for action, and collaboration.
Ability to travel as required for client and internal engagements.

Responsibilities

Build demos, prototypes, proofs of concept, and MVPs that bring AI use cases to life for clients and account teams.
Translate client problems into working technical concepts using models, agents, data, workflows, APIs, integrations, and user experience patterns.
Support discovery workshops, executive demos, technical deep dives, and proof-of-value sessions.
Collaborate with senior FDEs and Solution Architects to align prototypes to scalable architecture, delivery paths, security expectations, and operational requirements.
Work with ecosystem partner platforms across OpenAI, Anthropic, Mistral, Google/Gemini, cloud, data, and enterprise technologies.
Package prototypes into reusable assets, demo scripts, technical collateral, setup guides, and handoff materials.
Validate technical feasibility, data dependencies, integration complexity, and implementation assumptions across the sales cycle.
Help accelerate opportunity conversion by making AI solutions concrete, credible, and client-specific.
Contribute lessons learned, reusable code, prompts, and agent patterns back into the global FDE knowledge base.