Forward-Deployed Engineer

NTT DATA, Inc.
Plano, TX, United States
25 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$158,962.0
Working hours
Regular working hours
Job source

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Application Integration Architecture Microsoft Azure Cloud Computing Information Engineering Python (Programming Language) Machine Learning Cloud Services Tensorflow
+15 more
Software Engineering Systems Integration TypeScript Workflow Management Systems Google Cloud Pytorch ReactJS Flask (Web Framework) Large Language Models Snowflake Fastapi Machine Learning Operations Virtual Agents Databricks Programming Languages

Job description

The Forward-Deployed Engineer is a client-facing builder within the AI GTM organization responsible for rapidly creating demos, prototypes, proofs of concept, and MVPs that make AI opportunities tangible for clients and account teams. This role combines hands-on engineering, AI fluency, product thinking, and field presence to translate client problems into working technical concepts using models, agents, data, workflows, integrations, and user experiences., Rapidly 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, proof-of-value sessions, and partner enablement activities.
  • Partner with Solution Architects to ensure prototypes align to scalable architecture, delivery paths, security expectations, and operational requirements.
  • Work with ecosystem partners to showcase differentiated capabilities across OpenAI, Anthropic, Mistral, Google/Gemini, cloud, data, and enterprise platforms.
  • Package prototypes into reusable assets, demo scripts, technical collateral, setup guides, reference architectures, and handoff materials.
  • Validate technical feasibility, data dependencies, integration complexity, user experience assumptions, and implementation risks early in the sales cycle.
  • Help accelerate opportunity conversion by making AI solutions concrete, credible, and client-specific.
  • Contribute lessons learned, reusable code, prompts, agent patterns, and implementation guidance back into the global FDE knowledge base.

Success Measures:

  • Pursuit deal volume, measured as total TCV value of AI deals where the FDE supported.
  • Pursuit win rate for AI deals where the FDE supported.
  • Prototype-to-pipeline conversion, measured by demos, prototypes, or POCs that convert into qualified pipeline, funded POCs, or downstream implementation work.
  • Utilization, reuse of technical assets, demo quality, and stakeholder feedback.

Requirements

12+ 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.
  • 2+ years of hands-on experience with programming languages and frameworks such as Python, JavaScript/TypeScript, FastAPI, Flask, React, LangChain, LlamaIndex, PyTorch, TensorFlow, or similar technologies.
  • 2+ years of experience integrating APIs, data sources, model providers, workflow tools, and cloud services into working demos or prototypes.
  • Bachelor’s degree or equivalent work experience.

Preferred Skills:

  • Experience with OpenAI, Anthropic, Mistral, Google/Gemini, Azure, AWS, Google Cloud Platform, Databricks, Snowflake, vector databases, model registries, and 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, collaboration, and ability to explain complex technical concepts clearly.
  • Ability to travel as required for client and internal engagements.

Benefits & conditions

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is $158,962.00-$367,969.00. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications.

This position may also be eligible for incentive compensation based on individual and/or company performance.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

About the company

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

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