Forward-Deployed Engineer, AI GTM

NTT DATA is a trusted global innovator of business and technology services, helping clients innovate, optimize, and transform for success.

About the role

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.

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.

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.

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.

Pay

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.

Benefits

• 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 program.
• Participation in a 401k program with company match.
• Additional voluntary or legally-required benefits.