Forward Deployed AI Engineer

The Senior Forward Deployed Engineer (FDE) is a high impact technical leader responsible for translating the immense power of Talkdesk’s Agentic AI platform into transformative, production grade solutions for our strategic enterprise customers. You are a unique blend of a highly experienced software engineer, a technical project lead, and a hands-on builder. You own the technical execution for deployments, mitigate technical risks, and drive successful customer outcomes across assigned projects. This role is for the experienced builder who excels in high stakes, customer facing environments and is passionate about defining the future of Customer Experience Automation., * Technical Project Leadership & Architecture: Act as the technical lead for complex deployments. Design and implement the architectural blueprint for AI agent solutions, manage cross-system dependencies, and ensure designs meet stringent enterprise standards for security and scale.

• Hands-On Engineering & Delivery: Write production-grade code and leverage Talkdesk and 3rd-party APIs/SDKs to design, build, test, and deploy AI agents. Drive the execution from prototype through to production deployment, ensuring technical quality.
• Technical Consultation & Alignment: Serve as a trusted technical expert for our AI solutions. Confidently address deep technical inquiries, mitigate technical risk, and build trust with customer Engineering Directors, and technical architects.
• Influence Product & Engineering Roadmap: Synthesize and codify deployment learnings into reusable solution patterns and tooling. Provide actionable feedback to core Product and Engineering teams to help inform future product direction.
• Technical Guidance: Mentor junior FDEs and technical specialists on best practices for complex AI architecture, production quality, and client-facing technical delivery.

Who You Are

We are looking for an autonomous, results-driven technical leader who thrives at the intersection of breakthrough technology and measurable customer value., Build and deploy AI-powered tools for Rula’s business and clinical teams by observing workflows, rapidly delivering production software, measuring usage and impact, and enabling teams to operate tools independently. The role requires privacy-by-design practices, rigorous AI evaluation, customer-centric discovery, and integration with complex legacy systems. Staff engineers may optimize LLM costs and quality while creating reusable building blocks for future teams. Top Skills: Artificial IntelligenceBilling SystemsCoding AgentsCrm SystemsLarge Language ModelsScheduling Systems Supermove

Forward Deployed Engineer, AI

Yesterday Remote USA Mid level Mid level Software * Business Intelligence Build, deploy, and improve AI agents for enterprise moving companies. Responsibilities include writing production code, designing AI workflows, integrating customer systems, debugging agent failures, optimizing prompts and evaluations, leading customer deployments, and translating recurring customer needs into scalable product features. The role combines software engineering, AI implementation, technical delivery, and direct collaboration with customer leadership. Top Skills: Agent WorkflowsAi AgentsAPIsBackend SystemsDatabasesLlm ApisReal-Time SystemsTool Calling RevStar Consulting

Data & AI Forward Deployed Engineer

3 Days Ago In-Office or Remote 5 Locations Senior level Senior level Information Technology * Business Intelligence * Consulting Architects and deploys secure, scalable AWS cloud, data, and generative AI solutions for enterprise clients. Leads cloud migrations, legacy modernization, Infrastructure as Code, CI/CD, serverless and containerized implementations, and GenAI workloads using Bedrock and SageMaker. Acts as a client-facing technical leader, presents to executives, builds proofs of concept, identifies cloud expansion opportunities, and mentors engineers while developing reusable delivery accelerators and best practices. Top Skills: Amazon BedrockAmazon CloudfrontAmazon DynamodbAmazon Ec2Amazon EcsAmazon EksAmazon OpensearchAmazon QAmazon RdsAmazon RedshiftAmazon Route 53Amazon S3Amazon SagemakerAmazon VpcAWSAws Application Migration ServiceAws CdkAws CloudformationAws CodepipelineAws Database Migration ServiceAws GlueAws IamAws LambdaCi/CdGithub ActionsGitlab CiInfrastructure As CodeMicroservicesPgvectorPineconeRetrieval-Augmented Generation (Rag)ServerlessTerraform

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

• Minimum of 5-7 years of progressive experience in software or solution engineering, with at least 1+ years focused on architecting and deploying AI/ML/Agentic solutions.
• Project implementation consulting experience in large scale IT integration projects, ERP projects or AI implementations including experience in client-side project lead experience.
• Strong Experience in Agentic AI System Architecture: Proven experience in the design and end-to-end implementation of complex multi-agent systems, encompassing sophisticated planning, memory, and tool-use frameworks.
• Proficiency in Javascript, Python, Typescript and other relevant languages with a focus on writing secure, scalable, and tested production code.
• Deep expertise in systems integration (APIs, webhooks, message queues) and data architecture to ensure secure, compliant, and performant data flow for the agent across complex customer environments.
• Strong proficiency in prompt engineering, model optimization, and designing systems where agents collaborate to achieve complex outcomes.
• Proven ability to build credibility and consensus with customer executives, lead technical discussions, and drive alignment across internal and external teams., * Experience with Retrieval-Augmented Generation (RAG) systems, including hands-on experience with vector databases.
• Experience with health Care Systems such as Epic or Aetna or Retail Services system is a plus.
• Prior experience in the Contact Center (CCaaS), Unified Communications (UCaaS), or Customer Experience (CX) industry.

Lead enterprise deployments of Talkdesk’s Agentic AI platform by architecting, building, testing, and deploying production AI agent solutions. Own technical execution, integrations, security, scalability, risk mitigation, and customer outcomes. Advise customer technical leaders, influence product and engineering roadmaps, develop reusable tooling, and mentor junior engineers. The role requires strong software engineering, AI architecture, systems integration, prompt engineering, and client-facing project leadership experience. The summary above was generated by AI, Pay Range (Base Pay): $180k - $225k

Other Types of Pay: Based on level and role the employee may be eligible for long term incentives in the form of equity and short term incentives of either bonus or commission.

Health Insurance: Medical, Dental, Vision, Life and Disability Insurance, Employee Assistance Program (EAP).

Retirement Benefits: 401(k) plan

Paid Time Off: Talkdesk offers an uncapped paid time off program for exempt employees and an accrual-based program for non-exempt employees; both are subject to manager approval and consistent with business needs.

Paid Holidays: Talkdesk offers 14 paid holidays each year.

Paid Sick Leave: Exempt employees have uncapped paid time off and non-exempt sick leave follows accrual standards; both are subject to manager approval and consistent with business needs.

Talkdesk is pioneering a new era of Customer Experience Automation (CXA), redefining how the world’s most admired brands interact with their customers through AI. Our global team of courageous innovators is customer-obsessed, building AI-first solutions that put empathy, trust, and transparency at the center of every interaction. We foster an inclusive culture where diverse perspectives drive our success and every voice belongs. Combining the stability of a global leader with the agility of a disruptor, Talkdeskers are empowered with the autonomy to drive meaningful impact, while giving back to the communities and environment around us.

Talkdesk has been recognized as a Leader in the Gartner® Magic Quadrant for Contact Center as a Service (CCaaS) and in the G2 Overall Grid® Reports for AI Agents and Contact Center. With seven consecutive years on the Forbes Cloud 100 and multiple AI Breakthrough awards, there has never been a more exciting time to join us as we shape the future of customer experience automation!