Forward Deployed Engineer - Strategist - Europe
As a Forward Deployed Engineer Strategist, you will work with Engineers, Product Designers, and other Strategists to deploy voice AI technology to solve customer problems. Responsibilities include meeting with strategic customers to understand their audio and voice AI needs, identifying relevant use cases through engagement with customer problems, designing and architecting custom integrations, guiding customers on best practices for AI model implementation, presenting results and proposals to technical and executive audiences, collaborating with Research and Product teams to incorporate field insights, building and delivering demos of AI technology, scoping potential applications in new industries, taking full ownership of major projects for strategic partners, and working daily with customers' engineering and executive teams to ensure optimal implementation of ElevenLabs' technologies.
Solutions Architect (Dallas)
The Solutions Architect is responsible for designing scalable, highly-available infrastructure for AI platform deployments including compute, storage, networking, security, enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines. They design multi-agent systems using various patterns, implement agent logic using modern frameworks (langchain/langgraph), design evaluation frameworks, optimize prompts with A/B testing, and guide deployment and operations. The role involves leading technical maturity assessments, working directly with enterprise customers to understand requirements and present recommendations, and partnering with Engagement Managers and Product/Engineering teams.
Solutions Architect (Austin)
The Solutions Architect is responsible for designing, deploying, and optimizing production-grade AI infrastructure and agent systems, including scalable, secure infrastructure deployments and building reliable agent applications. Responsibilities include infrastructure and platform engineering such as designing scalable and highly available infrastructure for AI platform deployments with compute, storage, networking, security, and enterprise integration patterns. They utilize Infrastructure as Code tools like Terraform and Helm and implement multi-region high availability and disaster recovery strategies as well as CI/CD pipelines. The role also covers agent engineering and development including designing multi-agent systems using various patterns, implementing agent logic using frameworks such as LangChain and LangGraph, designing evaluation frameworks, optimizing prompts with A/B testing, and guiding deployment and operations. Additionally, the role involves customer engagement and assessment, leading technical maturity assessments, working directly with enterprise customers to understand requirements, presenting recommendations, and partnering with Engagement Managers and Product/Engineering teams.
Solutions Architect (NYC)
The Solutions Architect is responsible for designing scalable, highly-available infrastructure for AI platform deployments including compute, storage, networking, security, enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines. They design multi-agent systems using different patterns, implement agent logic using modern frameworks such as langchain/langgraph, design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment and operations. They lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams.
Solutions architect (East)
Drive strategic technical discovery with Fortune 500 prospects and customers, translating complex business challenges into clear, impactful technical solutions for AI-powered work; architect and design robust, scalable, and secure generative AI solutions for enterprise clients by leveraging WRITER's platform, APIs, and custom applications to solve critical business problems; lead the development and execution of compelling proofs of concept (PoCs) and demonstrations, building custom templates and integrating WRITER's capabilities to showcase transformative value and accelerate time-to-value for customers; serve as a trusted technical advisor to C-suite executives, VPs of Engineering, and AI leaders by guiding their generative AI strategy and collaborating to define enterprise-level architecture roadmaps; partner closely with WRITER's product and engineering teams to provide critical feedback from customer engagements to influence the product roadmap and ensure solutions meet evolving market needs; champion the adoption of WRITER's platform and APIs by educating prospects and partners on the art of the possible with generative AI and empowering them to build their own innovative solutions.
Solutions architect (pre-sales) (West)
Drive strategic technical discovery with Fortune 500 prospects and customers, translating complex business challenges into clear, impactful technical solutions for AI-powered work. Architect and design robust, scalable, and secure generative AI solutions for enterprise clients, leveraging WRITER's platform, APIs, and custom applications to solve critical business problems. Lead the development and execution of compelling proofs of concept (PoCs) and demonstrations, building custom templates and integrating WRITER's capabilities to showcase transformative value and accelerate time-to-value for customers. Serve as a trusted technical advisor to C-suite executives, VPs of Engineering, and AI leaders, guiding their generative AI strategy and collaborating to define enterprise-level architecture roadmaps. Partner closely with WRITER's Product and Engineering teams, providing critical feedback from customer engagements to influence the product roadmap and ensure solutions meet evolving market needs. Champion the adoption of WRITER's platform and APIs, educating prospects and partners on generative AI possibilities and empowering them to build innovative solutions.
Solution Architect
As the Solutions Architect, you will define the technical blueprint for a rapid 12-week transformation cycle stabilizing and optimizing a North American supply chain relaunch for a large enterprise client. You will be accountable for designing the secure cloud environment and shaping the system architecture across data ingestion, storage, model services, optimization logic, and user-facing applications. You will ensure the decision engine is robust enough to move from pilot validation into production use. Working closely with Data Engineers, Business Analysts, Full Stack Engineers, and QA, you will transform a fragmented operational landscape into a secure, auditable, and scalable solution that enhances speed, efficiency, and fiscal gain. Responsibilities include owning end-to-end solution architecture, defining a single-tenant secure cloud environment supporting rapid delivery, collaborating with the Data Engineering Lead on canonical schema, integration patterns, and data transformation rules, architecting the decision engine integrating predictive models, business rules, and optimization solvers, establishing non-functional requirements for production performance and reliability, and providing cross-functional technical leadership to translate business requirements into technical decisions and guide engineering teams.
Senior Forward-Deployed Engineer, Federal
The Senior Forward-Deployed Engineer, Federal, is responsible for owning the full technical lifecycle of federal engagements, including initial discovery, proof-of-concept, production deployment, and ongoing optimization of Deepgram's Voice AI platform in mission-critical federal environments. The role involves embedding deeply with federal customers to design and build applications, leading technical discovery and solution design, scoping and sequencing work, building and managing relationships with customer leadership and technical stakeholders, and contributing directly to code when necessary. The engineer must enable successful deployments by delivering observable systems from infrastructure through applications, codify working patterns into reusable tools and playbooks, share field feedback with product and engineering teams, serve as an escalation point for complex technical issues, and analyze deployment patterns to inform product and go-to-market strategies. Time allocation includes embedded customer delivery, pre-sales technical engagement, building reusable solutions and internal collaboration.
Solutions Engineer (Autonomous Vehicles & Robotics)
As a Solutions Engineer at Encord, you will be the core technical expert for customers building autonomous vehicles, robotics, and physical AI solutions. You will lead technical discovery with perception teams working on autonomous systems, understanding their sensor stack, model development pipelines, and data challenges, architect complete solutions for complex multimodal datasets including LiDAR, camera, and radar fusion, and sensor calibration. You will act as a technical authority on how Encord handles 3D point clouds, sensor fusion, temporal sequences, and multimodal annotation, build bespoke POCs for LiDAR data ingestion, point cloud processing, coordinate transformations, and sensor calibration, and develop custom integrations with robotics and autonomous vehicle stacks. You will create technical demos showcasing LiDAR annotation, 3D bounding boxes, semantic segmentation, and multi-sensor fusion, debug complex issues involving point cloud rendering, sensor calibration matrices, and multimodal data synchronization, guide prospects through technical evaluations of LiDAR formats, sensor configurations, and annotation requirements, and provide expert consultation on 3D annotation best practices, coordinate conventions, and quality control workflows. Additionally, you will partner with Account Executives to co-own technical wins in enterprise sales cycles, translate technical capabilities into business value for CTOs and senior stakeholders, and channel customer feedback to Product and Engineering teams to shape the roadmap.
AI Platform Architect
The AI Platform Architect is responsible for designing, scoping, and implementing complex healthcare AI workflows on the Notable platform. This includes producing end-to-end AI flows that use various healthcare data models ensuring workflows are secure, reliable, scalable, and aligned with clinical and administrative processes. Responsibilities include flow discovery, design, architecture, gathering customer requirements, validating scope for speed-to-value, building and configuring flows in Flow Builder, partnering with integrations for connections, testing, and training customers while facilitating change management. Key duties involve translating business requirements into scalable AI flow architectures, building intelligent automation flows with AI orchestration, decision logic, routing, data transformation, and human-in-the-loop workflows. The architect defines and standardizes workflow patterns ensuring balance between automation, accuracy, safety, and compliance, socializes designs with decision-makers, architects solutions leveraging diverse healthcare data models and integration methods, ensures accurate data mapping, and collaborates with specialists and IT teams on data flows. They also lead technical scoping sessions, manage project plans, run meetings, provide status updates, develop and execute testing plans, act as the technical authority ensuring reliable flow execution, escalate risks, and facilitate transition to steady-state ownership. Additionally, they provide structured feedback to product teams, help shape templates and architectures, and serve as problem solvers with a strong analytical mindset who translate technical concepts to non-technical audiences while using AI frameworks and LLMs to enhance workflow efficiency.
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