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Solutions Architect (Remote – US) - Full-Time

Other US

Job details

Not specified Salary
US Eligibility
Lead Experience
Not specified Employment

About this role

Role overview

Help prospective and existing customers design, evaluate, and adopt infrastructure for machine learning, analytics, and data-intensive workloads. This customer-facing Solutions Architect role combines technical discovery, architecture design, demonstrations, proof-of-concept delivery, and early adoption support. You will translate business objectives into practical solutions while advising on scalability, cost, security, and production readiness.

Responsibilities

- Lead discovery sessions to understand customer architectures, workflows, stakeholders, and desired outcomes. - Design end-to-end solutions spanning collaborative workspaces, orchestration, compute, networking, security, and observability. - Deliver technical demonstrations, workshops, presentations, pilots, and proof-of-concept implementations. - Work with sales teams on account strategy, solution proposals, evaluation plans, and implementation approaches. - Share customer feedback with product and engineering teams and help improve onboarding practices. - Create reusable reference architectures, demo environments, technical guides, and enablement materials, while supporting handoff through early adoption.

Requirements

- At least five years of experience in solutions architecture, sales engineering, technical consulting, or a comparable customer-facing position. - Strong foundations in cloud infrastructure and architecture, with experience in AWS, Google Cloud, and/or Microsoft Azure. - Ability to implement quickly, reason about systems, explain technical trade-offs, and build trust during customer engagements. - Excellent communication skills across both technical and executive audiences. - Based in the United States and authorized to work there.

Nice to have

- Experience with distributed computing frameworks such as Dask, Ray, or Spark. - Familiarity with production machine learning and MLOps practices, including training, deployment, monitoring, or feature stores. - Knowledge of data tools such as Snowflake, Databricks, dbt, Airflow, Prefect, or Kafka. - Exposure to security and compliance requirements such as SOC 2, HIPAA, PCI, or FedRAMP. - Startup experience or experience supporting fast-moving sales cycles.

Benefits and work setup

- Fully remote position for candidates based in the United States. - Remote-first, high-trust environment with significant ownership. - Compensation package includes salary, equity, medical, dental and vision coverage, a 401(k), and flexible paid time off.

Skills detected in the listing

PythonSnowflakedbtApache AirflowStakeholder ManagementAWSGCPAzureDockerKubernetes
Detected Sep 19, 2026
Last verified Not yet verified

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