Forward Deployed AI Engineer jobs in United States
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DatologyAI · 1 month ago

Forward Deployed AI Engineer

DatologyAI is a company that specializes in optimizing training data for AI models through their advanced data curation suite. They are seeking a highly technical Forward Deployed AI Engineer to guide customers in deploying and adopting their platform in complex environments, ensuring successful implementations and long-term value.

Artificial Intelligence (AI)Data CenterData IntegrationDatabaseInformation Technology
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H1B Sponsor Likelynote

Responsibilities

Lead customers through onboarding, deployment, and production rollout of DatologyAI’s platform while serving as the technical owner for assigned accounts—driving architecture, execution, long-term adoption, and tailored technical success plans
Partner cross-functionally with Sales, Engineering, and Research to translate use-case requirements into actionable technical strategies, support early trials, relay customer feedback, and help shape roadmap priorities
Guide customers in designing scalable, secure workflows across compute, storage, networking, and distributed systems, providing ongoing reporting on deployment progress, workload health, usage metrics, and executive-level updates
Adapt and optimize DatologyAI’s platform across AWS, GCP, Azure, and on-prem Kubernetes environments, handling provider-specific APIs, storage systems, networking configurations, and compute orchestration—including tuning performance for network topology, storage tiering, and resource allocation in each environment

Qualification

Distributed systemsCloud platformsKubernetesPythonInfrastructure-as-codeData pipelinesTechnical project leadershipCustomer engagementTechnical consulting

Required

5+ years of experience in technical roles involving solution architecture, customer engineering, consulting, or technical program delivery
Strong background in distributed systems, data infrastructure, and/or on-prem or hybrid compute environments
Experience working with ML/AI workflows, designing or deploying systems involving Kubernetes, networking, data pipelines, or large-scale backend infrastructure
Proficiency in Python, SQL, or similar languages, with the ability to contribute to technical conversations and debug customer issues end-to-end
Experience leading complex technical projects with multiple stakeholders—translating business needs into clear architecture and execution plans
Deep hands-on experience with multiple cloud platforms (AWS, GCP, Azure) including their compute, storage, networking, and IAM services
Proven track record of adapting complex distributed systems to run across different infrastructure environments
Expertise in infrastructure-as-code and configuration management for multi-environment deployments
Required to travel to customer sites as needed to support critical deployments and customer engagements

Benefits

100% covered health benefits (medical, vision, and dental)
401(k) plan with a generous 4% company match
Unlimited PTO policy
Annual $2,000 wellness stipend
Annual $1,000 learning and development stipend
Daily lunches and snacks are provided in our office
Relocation assistance for employees moving to the Bay Area

Company

DatologyAI

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DatologyAI is an AI-data curation startup that develops deep learning tools for automatic selection in data training.

H1B Sponsorship

DatologyAI has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (2)

Funding

Current Stage
Early Stage
Total Funding
$57.65M
Key Investors
FelicisAmplify Partners
2024-05-08Series A· $46M
2024-02-22Seed· $11.65M

Leadership Team

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Ari Morcos
CEO and Co-Founder
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Bogdan Gaza
Co-Founder & CTO
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Company data provided by crunchbase