# Applied Intelligence Engineer at Helios Intelligence Platforms > Onsite · United States · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Ahelios-intelligence-platforms%3A1a053398-b0a8-4cfd-8e36-e7a0d4c33350 (read 2026-11-09). ## Facts (observed) - Company: [Helios Intelligence Platforms](https://alderhq.app/companies/helios-intelligence-platforms) - Location text: New York City - Where it can be done from (inferred): Onsite · United States (evidence: "Location: New York City") - Posted: 2026-08-24 (76 days ago) - First seen by alder: 2026-11-04 · last verified: 2026-11-07 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/helios-intelligence-platforms/1a053398-b0a8-4cfd-8e36-e7a0d4c33350 ## Pay and sponsorship - Posted pay: $165k–$225k per year (from the listing's pay field) - Market band for similar posted roles (New York, n 621): p25 $145k, median $180k, p75 $225k ## Description (the employer's text) ### Applied Intelligence Engineer - Forward Deployed New York City \| Full-time \| On-site in SoHo, five days per week Frequent domestic and international travel Reports to the CTO and works directly with the founding team ABOUT HELIOS Helios is building a new kind of company to solve America’s hardest problems, starting with the government interaction layer. Government shapes every consequential market, but the infrastructure connecting public institutions and private organizations remains fragmented, manual, and difficult to navigate. Helios is rebuilding that layer. Our core platform, Proxi, gives organizations the intelligence they need to understand what government is doing, why it matters, and what to do next. From that foundation, we design and deploy secure, mission-specific systems for government agencies, enterprises, and institutions operating in complex and highly regulated environments. We bring together frontier AI, deep public-sector expertise, and forward-deployed execution. Our team includes leaders and builders from the White House, U.S. Department of State, Datadog, and Microsoft. We are backed by leading institutional investors and trusted by organizations working on high-stakes problems across government and industry. THE ROLE We are hiring an Applied Intelligence Engineer to turn complex institutional problems into working software. You will embed directly with customers, understand how their organizations actually operate, and design and deploy systems that work within their technical, operational, and security constraints. These deployments may take you inside a U.S. federal agency, an international public institution, or a Fortune 50 enterprise. This is not a conventional implementation, solutions engineering, or customer success role. You will write production code, design technical architectures, integrate fragmented data and legacy systems, configure and extend Proxi, and work alongside users through deployment and adoption. When the existing product does not fully solve the problem, you will build what is missing. You will operate at the intersection of engineering, product, and mission delivery. You should be comfortable moving from a meeting with senior government or enterprise leaders to a technical architecture session, then opening the codebase and shipping the solution. As an early member of this function, you will also help define how Helios delivers applied intelligence systems. Your job is not only to make individual deployments successful, but to turn what we learn in the field into reusable product capabilities, technical infrastructure, and operating playbooks that allow Helios to deploy faster and at greater scale. WHAT YOU WILL OWN Mission Discovery and Solution Design Work directly with customer leaders, operators, technical teams, and end users to understand their objectives, workflows, data, constraints, and measures of success. Move beyond stated feature requests to identify the underlying operational problem and determine what system should actually be built. Map complex environments across people, processes, data sources, existing software, decision rights, security requirements, and organizational dependencies. Translate ambiguous mission and business needs into clear technical requirements, deployment plans, system architectures, milestones, and ownership. Design solutions that combine Proxi’s core capabilities with customer-specific data, integrations, workflows, interfaces, and decision-support requirements. Establish a clear definition of success for each deployment, including technical performance, user adoption, operational outcomes, and long-term maintainability. Identify technical, security, data, adoption, and organizational risks early and develop practical plans to address them. End-to-End Deployments Own deployments from initial discovery and technical scoping through architecture, development, testing, go-live, adoption, and expansion. Configure and extend Proxi for specific customer missions, organizational structures, information environments, and operating workflows. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Ahelios-intelligence-platforms%3A1a053398-b0a8-4cfd-8e36-e7a0d4c33350 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.