Forward Deployed Engineer - Paris
Lead customer discovery and design sessions to map business processes, identify automation opportunities, and define solution architecture. Design, build, and deploy integrations using low/no-code platforms (Zapier, Make, n8n, Workato) and CRM automation tools (HubSpot Workflows, Salesforce Flow) with API connectors. Collaborate with Engineering to validate technical feasibility, resolve blockers, and share field learnings that inform product improvements. Configure and optimize the AI Agent by defining intents, prompts, actions, guardrails, and performance metrics. Manage complex, cross-functional deployments by defining timelines, aligning stakeholders, ensuring accountability, and delivering on time and within scope. Create scalable models and reusable frameworks such as templates, playbooks, and reference architectures to expedite future projects. Champion continuous learning and enablement through training peers, running internal workshops, and documenting best practices to raise the technical bar across the team. Run global, targeted outbound campaigns within the existing customer base to generate pipeline and accelerate adoption, working closely with the customer marketing team. Collaborate with GTM leadership to embed routines and cadences that drive accountability for new product pipeline, forecast accuracy, and performance tracking. Own regional top-line targets for assigned products by collaborating with AEs and AMs who hold add-on quotas. Act as an internal product owner within the GTM function by defining product-specific MRR strategies, coordinating cross-functional support, and ensuring delivery of the AI-enabled communication platform. Collaborate with Product and PMM to shape the AI Voice Agent roadmap based on customer needs, integration insights, and field learnings. Drive internal and external product education including enablement for System Integrators and channel partners. Maintain deep awareness of AI and CX industry trends to keep Aircall's positioning competitive and feed insights back into product and GTM strategies.
Forward Deployed Engineer - Berlin
Lead customer discovery and design sessions to map business processes, identify automation opportunities, and define solution architecture. Design, build, and deploy integrations using low/no-code platforms (Zapier, Make, n8n, Workato) and CRM automation tools (HubSpot Workflows, Salesforce Flow) with API connectors. Collaborate with Engineering to validate technical feasibility, resolve blockers, and share field learnings that inform product improvements. Configure and optimize the AI Agent defining intents, prompts, actions, guardrails, and performance metrics. Manage complex, cross-functional deployments by defining timelines, aligning stakeholders, ensuring accountability, and delivering on time and within scope. Create scalable models and reusable frameworks (templates, playbooks, reference architectures) that make future projects faster and more consistent. Champion continuous learning and enablement by training peers, running internal workshops, and documenting best practices to raise the technical bar across the team. Run global, targeted outbound campaigns within the existing customer base to generate pipeline and accelerate adoption, working closely with the customer marketing team. Collaborate with GTM leadership to embed routines and cadences that drive accountability for new product pipeline, forecast accuracy, and performance tracking. Own regional top-line targets for assigned products by collaborating with Account Executives and Account Managers who hold add-on quotas. Act as an internal product owner within the GTM function by defining product-specific MRR strategies, coordinating cross-functional support, and ensuring Aircall delivers the leading AI-enabled communication platform. Collaborate with Product and PMM to shape the AI Voice Agent roadmap based on customer needs, integration insights, and field learnings. Drive internal and external product education, including enablement for System Integrators and channel partners. Maintain deep awareness of AI and CX industry trends, ensuring Aircall's positioning remains competitive and insights continuously feed back into product and GTM strategies.
Staff Backend Solution Architect Engineer
Architect and build backend services that power LLM-based agents and clinical automations. Design robust APIs and data models that are secure, observable, and extensible for other teams. Optimize performance and cost by profiling hot paths, tuning databases, and right-sizing cloud resources. Automate quality by writing unit and integration tests, crafting alerts, and owning on-call runbooks to ensure trust in every interaction. Partner with product, AI, and front-end engineers to ship new capabilities from concept to production within weeks.
AI Solution Architect
The role involves debugging and fixing issues in the Arize platform and shipping pull requests with the fixes, building internal tools and copilots powered by generative AI to enhance the team’s capabilities, rapidly prototyping proof-of-concepts for customer use cases, and working collaboratively across Engineering, Product, and Solutions teams to unblock customers and advance AI adoption.
Partner Solutions Architect, Applied AI
The role involves partnering with cloud providers, system integrators, and ISVs to design and build agentic AI solutions, creating production ready solutions, sample repositories, and reference architectures using LangChain, LangGraph, and LangSmith. The person will collaborate closely with product and engineering teams to support partner integrations and solution design. They will enable partners through technical workshops, solution walkthroughs, and hands on collaboration, and gather partner and customer feedback to translate it into actionable insights for product and integration roadmaps.
Solutions Architect
As a Solutions Architect at Cohere, you will develop and deliver advanced agentic AI solutions using Cohere's foundation models and Agentic AI Foundry - North. You are responsible for architecting scalable, secure, and customizable NLP and generative AI solutions tailored to enterprise customer needs. The role involves collaborating with customers to understand complex workflows, designing pilots, and translating business requirements into technical solutions that include model fine-tuning, custom agents, and agent orchestration. You will support the deployment and integration of large language models (LLMs) and custom solutions into production environments using Kubernetes, Docker, and cloud infrastructures, ensuring high performance and security. You will lead technical engagements such as deep dives into AI architectures, workshop facilitation, and establishing best practices for agent-based AI systems and model customization. Additionally, you will work with product development to provide customer feedback on agentic AI capabilities, contribute to product enhancements, and help shape future features.
Forward Deployed Engineer
As a Forward Deployed Engineer, you will partner directly with customers to understand their biggest challenges and rapidly design, implement, and integrate technical solutions that drive real impact. You will leverage engineering expertise to design scalable AI workflows for clinical and operational use cases, producing professional-grade systems and data-flow diagrams defining interfaces, failure modes, and integration points with EHRs and legacy systems. You will build and deploy Large Language Model (LLM) powered workflows, applying advanced prompting strategies, building agentic workflows, and tuning vector stores for quality, latency, and cost. You will perform technical validation of AI algorithm outputs and ensure strict adherence to HIPAA/SOC 2 controls, establishing guardrails such as audit trails and least-privilege access for safe clinical deployment. You will independently manage technical implementation plans, defining scope and setting expectations with customers, driving prototypes into production and facilitating the transition to steady-state ownership alongside Customer Success teams. You will serve as the technical voice in customer meetings, translating complex platform capabilities into clear value propositions for executives and non-technical stakeholders. Additionally, you will provide input to internal cross-functional teams on platform gaps to help widen competitive advantage.
Forward Deployed Engineer - Strategist
As a Forward Deployed Engineer Strategist, responsibilities include meeting with strategic customers to understand their critical audio and voice AI needs and identify their biggest pain points, identifying relevant use cases through deep engagement with customer problems and workflows, and working with Engineers to implement voice and audio AI technology into innovative solutions. Design and architect bespoke integrations for customers to ensure the technology fits seamlessly into their products and operations. Guide customers on best practices for implementing voice and audio AI models to maximize effectiveness. Present results of work and proposals for future work to audiences ranging from technical teams to C-suite executives. Collaborate with Research and Product teams to incorporate field insights into ElevenLabs' software products and AI models. Build and deliver compelling demos of the voice and audio AI technology to new and existing customers. Scope out potential applications in new industries and expand AI solutions across different sectors globally. Take full ownership of end-to-end execution of major projects for strategic partners, working hands-on to deliver high-impact solutions. Collaborate daily with customers' engineering and executive teams to ensure optimal implementation of ElevenLabs' technologies.
Forward Deployed Engineer
As a Forward Deployed Engineer, you will lead technical discovery with customers to understand their business challenges, data environment, infrastructure landscape, and operational workflows. You will architect end-to-end multimodal agentic AI solutions involving LLMs, vision models, speech models, RAG pipelines, realtime perception–decision–action loops, agent frameworks, planning, tool-use, orchestration, and integration with enterprise APIs, databases, security systems, VMS, IoT, MDM, or existing apps. You will conduct PoCs, benchmarks, and A/B evaluations, producing clear documentation on metrics, model performance, constraints, and ROI. You will work closely with customer data teams to gather, clean, and preprocess multimodal datasets including text, images, audio, video, and sensor data, and build and optimize custom LLM prompts, fine-tuned LLM/vision models, domain-specific embedding models, custom scorers, loss functions, and evaluation metrics. You will advise customers on LLMOps best practices including lifecycle management, scalable APIs, agent reliability, function-calling strategies, and safety guardrails. You will demonstrate how Reka’s multimodal models can interpret CCTV, documents, screens, emails, speech, and logs, combine perception with reasoning and action, and integrate with enterprise tools to perform tasks autonomously. You will help customers understand advanced concepts such as tool-use and planning, multi-agent workflows, knowledge grounding and retrieval, chain-of-thought versus distilled reasoning, and observability and telemetry for AI agents. You will design and run workshops for audiences from business leaders to data scientists and train customers on AI fundamentals, multimodal models, deployment patterns, and Reka platform usage including APIs, SDKs, and agent creation. You will produce sample notebooks, reference architectures, code snippets, reusable templates, and best-practice guidelines. Internally, you will collaborate with product, engineering, and research teams to influence the roadmap based on customer needs, contribute internal prototypes, demos, agent frameworks or tools that improve presales velocity, and assist in competitive analysis against other AI vendors.
Senior Software Engineer, Agentic Applications
Guide the technical evaluation phase for customers as a presales solutions architect, working hands-on to deliver and integrate Databricks' platform for big data, analytics, and AI solutions. Work with customers and the sales team to provide architectural guidance, develop demo applications, reference architectures, and support adoption and optimization of Databricks within enterprise ecosystems.
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