Forward Deployed Engineer, AI & Analytics

Job description

Accountabilities Take an existing analytics and predictive proof of concept into production, covering data pipelines, ontology, application development, governance, and observability. Work directly with business and product stakeholders to understand operational challenges, conduct discovery sessions, and translate policies and procedures into working software and AI-driven solutions. Build and integrate production-grade applications, pipelines, dashboards, agent workflows, and supporting technical components. Develop AI and LLM-powered capabilities involving retrieval, tool use, evaluation, and agent-based workflows, moving solutions beyond proof-of-concept stages. Define meaningful adoption, delivery, or business-performance metrics with client business leaders and take ownership of reporting against those outcomes. Shape the roadmap from an initial proof of concept toward a scalable, production-ready product that can support broader business adoption. Collaborate closely with client engineers while delivering solutions, providing hands-on training, pairing, documentation, and knowledge transfer. Help establish repeatable technical practices, playbooks, and workflows that enable client teams to maintain and extend the solutions independently. Partner with product and business teams to challenge inefficient processes, understand the underlying business context, and identify opportunities for better technical solutions. Present technical recommendations, progress, and outcomes to senior stakeholders and executives. Contribute as part of a multidisciplinary engineering pod and help establish AI-focused delivery capabilities across additional business units. Requirements 6+ years of experience in software engineering, data engineering, ML engineering, or a closely related discipline, with senior-level ownership of production systems. Hands-on production experience with Palantir Foundry, including technologies such as Pipeline Builder, Ontology, and Workshop; experience with AIP is a strong advantage. Alternatively, deep experience with comparable data and AI platforms such as Databricks or Snowflake, combined with the ability to ramp quickly on new platforms. Strong production experience with Python and SQL; TypeScript or Java experience is a plus. Demonstrated experience building and deploying LLM- and agent-based solutions involving retrieval, tool use, evaluation, and productionization. Experience in consulting, solutions engineering, forward-deployed engineering, or client-embedded technical delivery. Ability to lead discovery sessions, facilitate technical workshops, train engineering teams, and communicate recommendations effectively to senior technical and business stakeholders. Strong written and spoken English, with confidence presenting technical concepts and defending recommendations in front of executives. Demonstrated ability to work as a technical generalist, independently building integrations, pipelines, application components, dashboards, and supporting tooling rather than waiting for narrowly defined tickets. Proven experience owning solutions end-to-end and being accountable for measurable outcomes such as adoption, time to production, or business KPIs. Strong business curiosity and the ability to understand why an existing process works the way it does before translating it into technology. Healthcare, staffing, workforce, or other regulated-industry experience is a plus. Previous experience as a Forward Deployed Engineer, Solutions Architect, or Solutions Engineer at a platform vendor or AI-focused organization is advantageous. Experience transferring technical capabilities through training, pairing, documentation, or engagement-specific playbooks is preferred. Benefits Full-time dedication expected through a contract engagement. Initial contract term aligned with the production build, with extension opportunities likely as the delivery model expands. Competitive compensation based on experience and location. Fully remote working environment. Opportunity to work directly with business and product leaders on high-impact AI and analytics initiatives. Exposure to production AI, LLMs, agents, data platforms, and enterprise application development. Opportunity to build solutions that deliver measurable business outcomes rather than isolated technical prototypes. Hands-on collaboration with client engineering teams and opportunities to develop technical leadership and knowledge-transfer skills. Potential for continued engagement as AI-focused engineering pods expand across additional business units. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Forward Deployed Engineer, AI & Analytics based in United States. This role offers the opportunity to take an AI and analytics proof of concept into a production-grade platform with measurable business impact.You will work directly with business and product teams, embedding with the client to understand their processes and translate them into scalable technical solutions.The position combines software engineering, data engineering, AI development, consulting, and technical delivery.You will contribute across data pipelines, ontology, application layers, governance, observability, and AI-powered workflows.Success will be measured through tangible outcomes such as adoption, time to production, and business KPIs rather than simply completed technical tasks.You will also help train and enable client engineers, ensuring that technical capabilities remain within the organization.This is an ideal opportunity for a senior generalist engineer who thrives in ambiguous environments, works directly with customers, and takes ownership from discovery through delivery.