NTT DATA Services· enterprise· Oct 5, 2026 · 23d ago
Plano, TX, US
Location
Hybrid
Work mode
Full-time
Schedule
Senior
Level
$121K–$180K est.
Estimated compensation
5+ years exp
Experience
Job description
Req ID: 388852
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Forward-Deployed Engineer (FDE/GTM) to join our team in Plano, Texas (US-TX), United States (US).
Forward-Deployed Engineer (FDE)
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.
Key Responsibilities:
- 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.
Basic Qualifications:
- 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, TensorFlow, or similar technologies.
- 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.
Preferred Skills:
- Experience with OpenAI, Anthropic, Mistral, Google/Gemini, Azure, AWS, GCP, 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.
NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is $111,172.00-$236,250.00. 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 NTT DATA
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.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, us.nttdata.com .
NTT DATA endeavors to make us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at us.nttdata.com . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .
Requirements
Must-haves
Req ID: 388852
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Forward-Deployed Engineer (FDE/GTM) to join our team in Plano, Texas (US-TX), United States (US).
Forward-Deployed Engineer (FDE)
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.
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.
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, TensorFlow, or similar technologies.
Nice-to-haves
Experience with OpenAI, Anthropic, Mistral, Google/Gemini, Azure, AWS, GCP, 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.
Application prep
Use the role’s language and application details while tailoring your materials.