The world’s most consequential systems need the world’s best builders.
A new era is taking shape. AI is no longer confined to models or interfaces. It is becoming the foundation of how decisions are made across governments, industries, and real-world environments. What matters now is not just access to capability, but how it is applied, controlled, and sustained over time.
Torch.AI builds a government-owned reasoning infrastructure which creates a Reasoning Layer that enables machine reasoning at scale, in environments where it is hardest to achieve and least tolerant of failure. This is not incremental software. It is long-term infrastructure designed to endure, integrate, and evolve alongside the systems it supports.
Not another dashboard. Not another workflow app. Not another black-box model glued to a PowerPoint.
The Reasoning Layer is a modular architecture where data is connected, governed, transformed, represented, fused, reasoned over, and delivered into mission applications and operational workflows. It does not replace systems of record. It enables them to function better together.
The Reasoning Layer is comprised of: ORCUS (ingestion, orchestration, governance), NEXUS (semantic representation, vectorization), HALO (graph-based fusion and reasoning) and various product and capability components deployed for specific customer use cases.
We are seeking candidates who approach problems creatively, are comfortable operating without full clarity, and take responsibility for outcomes, not just implementation.
If you’re driven to strengthen U.S. defense readiness and protect national interests, Torch.AI offers meaningful impact at national scale.
What Makes Torch.AI Different
Torch.AI was founded on a simple operational insight: better use of data leads to better decisions. As data volumes increased across commercial, enterprise, and national security environments, the limiting factor was not collection, storage, or user interface design. The missing layer was machine understanding. And an infrastructure that could operate and reason between layers, preserve context, reconcile meaning, and make data useful for decisions in real time.
We believe the government must own its data and decision environment. In mission and operational environments, the layer where data becomes context, context informs models, models support decisions, and decisions shape action cannot be controlled entirely by private technology vendors.
Ownership does not mean the government must build every component itself. It means the government maintains stewardship and authority over the mission and operational layer. Commercial software, models, and services can contribute to the environment, but they should not capture the mission.
We are craftsmen.
We build with intention.
We ship with discipline.
You’ll collaborate with engineers, data experts, veterans, and mission practitioners. You’ll own meaningful work, move quickly, and see your systems deployed in production, often within weeks.
We are fast-paced, entrepreneurial, and mission-driven. Every day is a new puzzle.
What You’ll Do
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Support customer engagement and operational adoption of deployed Torch.AI capabilities across mission environments.
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Assist in coordinating delivery execution to ensure mission success, user adoption, and sustained operational trust.
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Track customer outcomes, usage patterns, and mission feedback to identify improvement opportunities.
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Document and communicate customer insights to product and engineering teams to inform roadmap priorities.
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Coordinate issue resolution and escalation between customer stakeholders and internal engineering teams.
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Support onboarding, training sessions, and rollout of new platform capabilities.
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Maintain customer engagement plans, deployment readiness checklists, and mission success metrics.
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Help prepare customer-facing materials including status updates, adoption reports, and executive summaries.
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Monitor risks to delivery, user adoption, or operational continuity and escalate appropriately.
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Support renewal and expansion efforts by helping demonstrate measurable mission impact and value realization.
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Contribute to post-deployment reviews and continuous improvement initiatives.
Core Skills & Qualifications
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B.S. in Business, Engineering, Computer Science, or related field.
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1–4 years of experience in customer success, program coordination, mission support, or operational delivery roles.
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Strong written and verbal communication skills.
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Ability to manage multiple stakeholders and coordinate across cross-functional teams.
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Experience tracking metrics, documenting outcomes, and organizing structured follow-up actions.
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Ability to translate mission or user feedback into clear internal action items.
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Strong organizational discipline and attention to detail.
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Comfort operating in structured, compliance-driven, or secure environments.
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Ability to manage competing priorities in high-tempo operational settings.
Additional Valuable Experience
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Experience supporting DoD, Intelligence Community, or other mission-focused government customers.
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Familiarity with AI-enabled systems, data platforms, analytics workflows, or enterprise software deployments.
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Experience supporting deployments across multiple security domains.
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Exposure to change management, user adoption strategies, or training coordination.
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Experience working with Jira, Confluence, or CRM/customer tracking systems.
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Active Secret or Top Secret clearance.
