NTT DATA  Services

Forward-Deployed Engineer, AI GTM

NTT DATA Services$121K — $280K *
Plano, TX 75025In-Person
Technical Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in software, AI, data, ML engineering, or related roles.
  • 2+ years deploying AI, ML, GenAI solutions.
  • Proficiency in Python, JavaScript/TypeScript, FastAPI, Flask, and other frameworks.
  • Experience integrating APIs, data sources, and model providers.
  • Knowledge of responsible AI and enterprise deployment considerations.
  • Bachelor's degree or equivalent experience.

Responsibilities

  • Build demos, prototypes, proofs of concept, and MVPs for clients.
  • Translate client needs into workable technical concepts.
  • Support workshops, demos, and proof-of-value sessions.
  • Collaborate with senior FDEs and Solution Architects for scalable architecture.
  • Work with partner platforms like OpenAI and Google Cloud.
  • Package prototypes into reusable assets and technical documentation.
  • Validate technical feasibility and implementation assumptions.

Benefits

  • Medical, dental, and vision insurance with employer contribution.
  • Flexible spending or health savings account options.
  • Short and long-term disability coverage.
  • Paid time off and employee assistance programs.
  • 401k participation with company matching.
Full Job Description
Req ID: 383979

We are currently seeking a Forward-Deployed Engineer, AI GTM to join our team in Plano, Texas (US-TX), United States (US).

Forward-Deployed Engineer (FDE) - Manager

Overview:

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.

Key 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.

Success Measures:
• Pursuit deal volume, measured as total TCV value of 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.
• Growth in technical depth, AI fluency, and delivery independence over time.

Basic Qualifications:
• 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.

Preferred Skills:
• 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.

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is $121,162.00-$280,469.00. 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.

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 [redacted].com, [redacted].com and [redacted].nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

About NTT DATA Services

NTT DATA Corporation is a Japanese multinational information technology service and consulting company headquartered in Tokyo, Japan. It is partially-owned subsidiary of Nippon Telegraph and Telephone. Japan Telegraph and Telephone Public Corporation, a predecessor of NTT, started Data Communications business in 1967. NTT, following its privatization in 1985, spun off the Data Communications division as NTT DATA in 1988, which has now become the largest of the IT Services companies headquartered in Japan.
Learn more about NTT DATA Services
Size
151,991 employees
Industry
Founded
1988
NASDAQ

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