NTT
Intermediate Forward Deployed Engineer
$92K–$170K
New York, United States of America +1 · Hybrid Working · Full-time · Posted Oct 28, 2026
- Location
- New York, United States of America
Texas, United States of America - Experience
- Typically 5 to 8 years overall, including at least 3 years of hands-on cloud, data, software, or AI engineering experience.
- Education
- Degree in computer science, engineering, information technology, or a related field, or equivalent practical experience.
About the job
Build and deploy production-ready cloud and agentic AI solutions for clients, owning defined technical workstreams from discovery through implementation and handover.
What you'll do
- Translate client priorities into technical requirements and design, build, test, and deploy solution components.
- Integrate APIs, data pipelines, agent workflows, knowledge bases, and operational tooling while applying evaluation, security, and production-readiness controls.
- Collaborate with client stakeholders and FDE teams, communicate technical findings, and contribute reusable assets and field feedback.
What they ask for
- Hands-on software, product, data, cloud, platform, or AI engineering capability with enterprise architecture and production delivery experience.
- Experience building or contributing to agentic systems and practical knowledge of evaluation, observability, integration, and governance.
- Experience contributing to production systems integrating enterprise data, applications, security controls, and cloud services; owning technical components through design, build, testing, and deployment.
- Strong client communication skills and experience participating in workshops and presenting technical findings.
Nice to have
- Experience supporting opportunity qualification, solution shaping, effort estimation, or proposal development.
- Equivalent Azure, Google Cloud, or other platform certifications are valued.
Pay
92,000.00 - 131,000.00 - 170,000.00 USD Annual (starting pay range; target compensation)
Tools
AWS, Amazon Bedrock, AgentCore, SageMaker, Neptune, OpenSearch, CloudWatch, MCP
AI focus
Develop and deploy agentic AI systems for enterprise adoption, including agent orchestration, RAG, evaluation, AgentOps, responsible AI controls, and human-in-the-loop workflows.
Model-written summary · the original posting is authoritative