{"schemaVersion":"jobsearcher.job.v1","id":"4dca2b5308e49befe46f54ca","url":"https://jobsearcher.com/jobs/4dca2b5308e49befe46f54ca","canonicalUrl":"https://jobsearcher.com/jobs/4dca2b5308e49befe46f54ca","title":"FDE (Forward Deployed Engineer / Solution Architect)","description":"Job Title: Forward Deployed AI EngineerLocation: Orlando,FL (Hybrid Onsite )Job Type: - FTEJob Description:-JdWe need someone who is comfortable operating with C-level executives, can understand business objectives and expected outcomes, translate use cases into solution architecture on Kore products, and then execute hands-on to build prototypes and production solutions.This role requires strong GenAI capability-both in constructing solutions directly and leading a lean team to deliver at enterprise scale. They should also be able to contribute code for FRs back to product.Key ResponsibilitiesDelivery & ExecutionLead end-to-end solution delivery across Corporate, Compliance, Legal, and Risk Management domains - from design and build through UAT and production deploymentOwn release readiness: manage UAT-to-production transitions, validate operational quality, and ensure solutions meet the firm's engineering and compliance standardsBuild and maintain CI/CD pipelines and DevOps processes on Apollo's Azure-based platform, working within established GitOps and Flux deployment patternsManage delivery across multiple concurrent workstreams, coordinating with engineering, product, and business teams to maintain momentum and remove blockersAI-Enabled Solution Design & BuildApply AI tools, agent frameworks, and workflow orchestration to solve business-critical problems - selecting the right approach and model for each use case rather than defaulting to the most complex solutionDesign and implement agent workflows on Apollo's Axon SDK and Azure AI Foundry, integrating Azure OpenAI, Document Intelligence, and AI SearchBuild multi-step automations and AI pipelines using Temporal as the firm's enterprise workflow orchestratorIntegrate solutions with Apollo's data platform - consuming Snowflake data through the Delphi data PaaS, connecting to operational systems, and working within the firm's data governance modelExpose and consume capabilities through Apollo's internal Model Context Protocol (MCP) broker patternStakeholder EngagementWork directly with business leads, product managers, and domain teams to gather requirements, shape use cases, and translate them into clear, deliverable technical solutionsCommunicate progress, risks, and trade-offs clearly to both technical leads and senior business stakeholdersContribute to solution documentation, runbooks, and knowledge transfer as a standard part of deliveryRequired Skills & ExperienceEngineering & DeliveryProven track record of end-to-end solution delivery in production enterprise environments - design through deployment and ongoing operationStrong hands-on experience with Azure: AKS, Azure AI services, CI/CD pipeline implementation, and DevOps practicesSolid understanding of GitOps deployment patterns and Flux-based release workflowsExperience writing infrastructure configuration - Terraform or equivalent IaC - in a team-managed environmentComfortable working across the full delivery lifecycle including UAT coordination, operational readiness, and post-launch supportAI & AutomationDeep practical experience with AI development workflows: agent design, prompt engineering, workflow orchestration, and model selectionHands-on experience with AI frameworks and orchestration tools - applied to real delivery problems, not proof-of-concept workFluency with AI-assisted development tooling (Cursor, Claude, Codex) as a primary accelerant for engineering deliveryWorking knowledge of Azure AI Foundry, Azure OpenAI, Document Intelligence, and AI Search is strongly preferredExperience with Temporal or a comparable workflow orchestration platform is a plusDomain & EnvironmentExposure to Corporate, Compliance, Legal, or Risk Management functions; understanding of the domain accelerates delivery significantlyStrong communication and stakeholder management skills; ability to operate credibly at both working and senior levelsOwnership mindset, high accountability, and the flexibility to meet delivery commitments in a demanding environment","company":"Envision Technology Solutions","rawCompany":"envision technology solutions","city":"Orlando","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-07-12T10:44:29.160Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"FDE (Forward Deployed Engineer / Solution Architect)","description":"Job Title: Forward Deployed AI EngineerLocation: Orlando,FL (Hybrid Onsite )Job Type: - FTEJob Description:-JdWe need someone who is comfortable operating with C-level executives, can understand business objectives and expected outcomes, translate use cases into solution architecture on Kore products, and then execute hands-on to build prototypes and production solutions.This role requires strong GenAI capability-both in constructing solutions directly and leading a lean team to deliver at enterprise scale. They should also be able to contribute code for FRs back to product.Key ResponsibilitiesDelivery & ExecutionLead end-to-end solution delivery across Corporate, Compliance, Legal, and Risk Management domains - from design and build through UAT and production deploymentOwn release readiness: manage UAT-to-production transitions, validate operational quality, and ensure solutions meet the firm's engineering and compliance standardsBuild and maintain CI/CD pipelines and DevOps processes on Apollo's Azure-based platform, working within established GitOps and Flux deployment patternsManage delivery across multiple concurrent workstreams, coordinating with engineering, product, and business teams to maintain momentum and remove blockersAI-Enabled Solution Design & BuildApply AI tools, agent frameworks, and workflow orchestration to solve business-critical problems - selecting the right approach and model for each use case rather than defaulting to the most complex solutionDesign and implement agent workflows on Apollo's Axon SDK and Azure AI Foundry, integrating Azure OpenAI, Document Intelligence, and AI SearchBuild multi-step automations and AI pipelines using Temporal as the firm's enterprise workflow orchestratorIntegrate solutions with Apollo's data platform - consuming Snowflake data through the Delphi data PaaS, connecting to operational systems, and working within the firm's data governance modelExpose and consume capabilities through Apollo's internal Model Context Protocol (MCP) broker patternStakeholder EngagementWork directly with business leads, product managers, and domain teams to gather requirements, shape use cases, and translate them into clear, deliverable technical solutionsCommunicate progress, risks, and trade-offs clearly to both technical leads and senior business stakeholdersContribute to solution documentation, runbooks, and knowledge transfer as a standard part of deliveryRequired Skills & ExperienceEngineering & DeliveryProven track record of end-to-end solution delivery in production enterprise environments - design through deployment and ongoing operationStrong hands-on experience with Azure: AKS, Azure AI services, CI/CD pipeline implementation, and DevOps practicesSolid understanding of GitOps deployment patterns and Flux-based release workflowsExperience writing infrastructure configuration - Terraform or equivalent IaC - in a team-managed environmentComfortable working across the full delivery lifecycle including UAT coordination, operational readiness, and post-launch supportAI & AutomationDeep practical experience with AI development workflows: agent design, prompt engineering, workflow orchestration, and model selectionHands-on experience with AI frameworks and orchestration tools - applied to real delivery problems, not proof-of-concept workFluency with AI-assisted development tooling (Cursor, Claude, Codex) as a primary accelerant for engineering deliveryWorking knowledge of Azure AI Foundry, Azure OpenAI, Document Intelligence, and AI Search is strongly preferredExperience with Temporal or a comparable workflow orchestration platform is a plusDomain & EnvironmentExposure to Corporate, Compliance, Legal, or Risk Management functions; understanding of the domain accelerates delivery significantlyStrong communication and stakeholder management skills; ability to operate credibly at both working and senior levelsOwnership mindset, high accountability, and the flexibility to meet delivery commitments in a demanding environment","datePosted":"2026-07-12T10:44:29.160Z","dateModified":"2026-07-12T10:44:29.160Z","hiringOrganization":{"@type":"Organization","name":"Envision Technology Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Orlando","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4dca2b5308e49befe46f54ca"},"url":"https://jobsearcher.com/jobs/4dca2b5308e49befe46f54ca"}}