Forward-Deployed Engineer

• We rapidly build demos, prototypes, proofs of concept, and MVPs that bring AI use cases to life for clients and account teams.
• We translate client problems into working technical concepts using models, agents, data, workflows, APIs, integrations, and user experience patterns.
• We support discovery workshops, executive demos, technical deep dives, proof-of-value sessions, and partner enablement activities.
• We partner with Solution Architects to ensure prototypes align to scalable architecture, delivery paths, security expectations, and operational requirements.
• We work with ecosystem partners to showcase differentiated capabilities across OpenAI, Anthropic, Mistral, Google/Gemini, cloud, data, and enterprise platforms.
• We package prototypes into reusable assets, demo scripts, technical collateral, setup guides, reference architectures, and handoff materials.
• We validate technical feasibility, data dependencies, integration complexity, user experience assumptions, and implementation risks early in the sales cycle.
• We help accelerate opportunity conversion by making AI solutions concrete, credible, and client-specific.
• We contribute lessons learned, reusable code, prompts, agent patterns, and implementation guidance back into the global FDE knowledge base.

Technologies:

• Agentic AI
• AI
• AWS
• Azure
• Cloud
• Databricks
• FastAPI
• Flask
• GCP
• Support
• JavaScript
• LLM
• MLOps
• Network
• PyTorch
• Python
• RAG
• React
• Security
• Snowflake
• TensorFlow
• TypeScript

• We require 5+ years of experience in software engineering, AI engineering, data engineering, ML engineering, solution engineering, technical consulting, or other hands-on technical roles.
• We require 2+ years of experience building or deploying AI, ML, GenAI, LLM, RAG, agentic AI, data science, or automation solutions.
• We require hands-on experience with programming languages and frameworks such as Python, JavaScript/TypeScript, FastAPI, Flask, React, LangChain, LlamaIndex, PyTorch, TensorFlow, or similar technologies.
• We require experience integrating APIs, data sources, model providers, workflow tools, and cloud services into working demos or prototypes.
• We require working knowledge of responsible AI, security, data handling, privacy, and enterprise deployment considerations.
• We require a bachelors degree or equivalent work experience.
• We prefer experience with OpenAI, Anthropic, Mistral, Google/Gemini, Azure, AWS, GCP, Databricks, Snowflake, vector databases, model registries, and MLOps/LLMOps tooling.
• We prefer experience working directly with clients, sales teams, or product teams to rapidly prototype solutions under ambiguous conditions.
• We prefer AI/ML, cloud, data engineering, or software engineering certifications.
• We prefer strong technical curiosity, client empathy, communication, bias for action, collaboration, and the ability to explain complex technical concepts clearly.
• We prefer the ability to travel as required for client and internal engagements.

We are NTT DATA, a $30+ billion business and technology services, AI and digital infrastructure leader that co-innovates with clients and partners globally to create business and societal impact. We serve 75% of the Fortune Global 100, operate in over 70 countries, and are part of NTT Group, which invests over $3 billion annually in R&D. We offer tailored benefits that support physical, emotional, and financial wellbeing, continuous learning and development opportunities, and flexible work options. We are an equal opportunities employer committed to fair treatment, equity, diversity, and inclusion, and we support candidates who may need reasonable adjustments during the recruitment process. We encourage experimentation, recognize great work, and offer the opportunity to belong, learn, build your network, and grow with us.