Forward Deployed Engineer - Agentic AI - On site/hybrid

Forward Deployed Engineer – Agentic AISalary: $200,000 – $250,000 + BonusWhy This Role?Work on enterprise-scale GenAI and Agentic AI initiativesExposure to Fortune 2000 AI transformation programsHigh visibility with executive stakeholders and enterprise clientsStrong compensation package with bonus eligibilityMedical, dental, vision, 401(k) match, paid parental leave, PTO, and disability coverageAbout the RoleSeeking a Forward Deployed Engineer to help enterprise clients design, prototype, and scale GenAI and Agentic AI solutions. This role sits at the intersection of engineering, solution architecture, and executive-facing consulting.You will work directly with senior business leaders and technical teams to rapidly build proof-of-value solutions, architect scalable AI systems, and accelerate enterprise AI adoption across complex environments.This is a highly hands-on role focused on shipping real AI systems, not presentations.ResponsibilitiesPartner with enterprise stakeholders to identify AI opportunities and define measurable business outcomesBuild rapid proof-of-value and MVP AI solutions using modern GenAI and agentic frameworksDesign scalable AI architectures including orchestration, governance, observability, and security controlsDevelop AI workflows with tool integrations, enterprise data connectivity, and lightweight user experiencesImplement RAG architectures, vector search, retrieval strategies, and evaluation frameworksIntegrate AI solutions with enterprise platforms including AWS, Azure, GCP, Salesforce, SAP, ServiceNow, and Microsoft ecosystemsSupport technical discovery sessions, workshops, demos, and executive presentationsCreate reusable AI accelerators, templates, evaluation suites, and reference architecturesCollaborate with engineering, cloud, product, and delivery teams to transition solutions into production environmentsRequirements8+ years of experience in software engineering, AI engineering, solution architecture, or technical consultingStrong experience building enterprise GenAI or Agentic AI solutionsExperience with LLM orchestration, tool-calling, planning workflows, and human-in-the-loop systemsHands-on experience with RAG pipelines, vector databases, embeddings, and retrieval evaluationStrong full-stack engineering fundamentals including APIs, integrations, distributed systems, and cloud-native architecturesProficiency in Python and at least one additional language such as TypeScript, Java, or GoExperience with AWS, Azure, or GCP environmentsFamiliarity with CI/CD, containers, observability, and AI governance conceptsStrong communication skills with the ability to engage executive stakeholdersBachelor's degree requiredPreferred BackgroundExperience deploying production-grade GenAI systemsConsulting or client-facing engineering experience preferredExposure to AI governance, AgentOps, telemetry, and compliance frameworksExperience within enterprise AI consulting or hyperscaler ecosystems is highly valuedBackground supporting industries such as financial services, retail, manufacturing, hospitality, or healthcare is a plusAdditional DetailsFull-time opportunityBonus eligibleOccasional travel required for workshops and client engagementsSponsorship not availableCandidates should have fewer than 10 years of total experience preferred by the hiring team