NTT Data Aivista

NTT Data Aivista

Member of Technical Staff - Enterprise Engineering [Bay Area]

San Francisco Bay Area · Staff+

Sponsorship not specified$190k-$250kDetected 85 days ago
TypeScriptPythonGoRustBackend DevelopmentAWSGCPAzureCloud PlatformsDockerKubernetesHelmData EngineeringLLMsRAGAgentic AILangGraphCommunicationCollaborationWriting

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

8 transfer filings in the last year, covering 8 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • AIVista turns foundation models into specialized, governed agents that run mission-critical, regulated enterprise operations reliably at scale.
  • Behind every one of those agents is a lot of software - the services, APIs, data pipelines, and infrastructure that make agentic AI dependable enough to run real enterprise operations.

Responsibilities

  • Build production services - design and ship scalable, reliable backend services and APIs that power the AIVista platform.
  • Integrate with the enterprise - build the connections, data pipelines, and plumbing that let our platform work inside real customer systems.
  • Build the infrastructure agents run on - develop the deployment, orchestration, and tooling that keep agentic workflows running reliably in production.
  • Own quality - write well-tested, maintainable code, and help raise the engineering bar across the team.
  • Collaborate and iterate - partner with product, AI, and customer teams, and turn feedback and production signals into improvements.
  • Build the APIs and services that let agents connect securely to a customer's systems of record.
  • Design the data pipelines that feed organizational context into the platform and keep it fresh and correct.
  • Develop the deployment and orchestration infrastructure that agentic workflows run on in production.
  • Build the observability and tooling the engineering team relies on to ship and debug quickly.
  • We develop AI products that operationalize AI across enterprises operating in complex regulatory environments.

Requirements

  • Comfortable building with or alongside LLM and AI systems (deep AI development experience is not required)
  • 5+ years building and shipping production software
  • Bachelor's degree in a technical field, or an equivalent combination of education, training, and experience.
  • Production-quality software engineering in Python and other modern languages (Go, TypeScript, Rust, or similar), with a track record of building durable systems, not one-off scripts
  • Experience designing and building scalable backend services, APIs, and data systems
  • Hands-on experience deploying and operating services on a major cloud platform (AWS, Azure, or GCP), using containers and orchestration (Docker, Kubernetes, Helm, or similar)
  • Bias for action and ownership - you thrive with high autonomy and ambiguity, and ship without sacrificing rigor
  • Clear communication and collaboration skills, across engineering, product, and customer teams
  • Experience building LLM-powered or agentic applications - model APIs (e.g., OpenAI, Anthropic, Amazon Bedrock), agent frameworks (e.g., LangGraph, LlamaIndex), or retrieval-augmented generation (RAG)
  • Experience building or operating software in large, regulated enterprise environments

Nice to have

  • Experience with data-intensive systems - streaming, large-scale processing, or high-throughput pipelines
  • A track record of independent work - shipped products, open-source contributions, or technical writing
  • You don't need to check every box.
  • If you're excited about this work and confident you can do it - even if your experience doesn't line up with every qualification above - we'd rather hear from you than have you rule yourself out.
  • Strong candidates often bring backgrounds we didn't expect.

Compensation

  • The estimated annual base salary range for this role is $190,000-$250,000 USD.

Benefits

  • Medical, dental, and vision insurance
  • Significant company HSA contribution
  • Paid holidays and flexible PTO
  • And other benefits
  • The salary for the successful applicant will depend on job-related factors such as education, training, work experience, business needs, and market demands.
  • Total compensation also includes variable pay in the form of an annual target bonus and other cash incentives, with a combined potential of up to 100% of base salary.

Equal opportunity

  • equal opportunity employer.
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This listing is sourced directly from NTT Data Aivista's careers page and normalized into a canonical job model.