Own end-to-end customer implementations for a bioprocess SaaS platform, including requirements, integrations, UAT, and adoption. Drive post-live success, usage health, and expansion for scientific customers.

Technical pre-sales partner to Account Executives who translates bioprocess workflows into tailored demos, workshops, and POCs for prospects in scientific SaaS.

Lead end-to-end implementation lifecycle for vertical software partners at a fintech payments infrastructure company. Oversee implementation and onboarding teams, drive cross-functional execution with Sales and Customer Success, and build AI-powered systems to scale onboarding for thousands of merchants.

Designs and deploys secure, customized agentic AI and generative AI solutions for defence and national security customers. The role combines customer-facing architecture, hands-on proofs of concept, production deployment, technical workshops, and product feedback, requiring 5+ years of AI/ML solutions architecture experience and Canadian Secret Clearance.

Forward Deployed Engineers embed with customers to define problems and build production systems using Luma's AI models and APIs. They own projects end-to-end, from initial conversations to deployed solutions with real data.

Forward Deployed Engineers embed with new customers to take validated computer vision PoCs into first production deployments on Roboflow, handling edge hardware, data pipelines, and real-world integration challenges. They surface field insights to shape the product and hand off to implementation teams after successful launch.

Forward Deployed Engineer who owns technical deployments of the Encord AI data platform into strategic customer environments. Designs, builds, and ships data integrations and solutions for complex ML pipelines while managing direct client relationships and feeding insights back to the product roadmap. Requires 3-8 years software engineering experience with strong system design and autonomy.

Build and deploy production-grade integrations for strategic customers, owning system design, troubleshooting, and end-to-end delivery across complex data and ML pipelines. The role requires 3–8 years of software engineering experience, API and data integration expertise, strong communication, and high autonomy.

Lead end-to-end client deployments for an AI revenue platform in post-acute care. Own go-lives, configure AI agents, translate customer needs into product requests, and run training across clinical and RCM teams.

Deploy and configure Pryzm's AI platform in federal customer environments while writing production code for integrations and custom workflows. Requires 2+ years experience with backend languages, data fluency, and strong customer-facing technical skills.

Deployment Strategist embedding with federal/national security customers to design and deploy workflows using Pryzm's AI platform. Requires 2-5 years customer-facing experience, strong analytical skills, and willingness to work onsite in Boston, NYC, or DC.

Hands-on Senior Forward Deployed AI Engineer who partners with enterprise customers to architect, integrate, and deploy custom AI agents and solutions into production environments. Requires 5+ years software engineering experience, strong Python and ML framework expertise, cloud platform experience, and excellent customer-facing technical skills.

Hands-on Forward Deployed AI Engineer building and deploying custom AI agents, integrations, and RAG systems for enterprise customers. Requires 4+ years of Python/ML engineering experience and strong customer-facing technical skills.

Hands-on technical role deploying and integrating production AI agents and systems for strategic enterprise customers, bridging Scale AI's platform with customer infrastructure and workflows. Requires 12+ years of software engineering experience and deep expertise in Python, modern ML frameworks, and cloud platforms.

Hands-on technical role bridging Scale AI's AI capabilities with enterprise customers. Architect custom AI solutions, build production AI agents, and integrate AI systems into customer workflows. Requires 8+ years software engineering and strong Python/ML experience.

Principal Forward Deployed Engineer leading client discovery, technical solutioning, and delivery for AI, forecasting, and automation engagements. Requires 10+ years customer-facing technical experience, Python/SQL/system design expertise, and strong executive presence.

Forward Deployed Engineer owning agent deployments for sales teams. Build and iterate on AI agents automating SDR workflows with direct customer impact.

Senior Associate managing end-to-end onboarding and implementations for retirement plans, serving as client advocate for plan sponsors and advisors. Requires 2-4 years project management experience and proficiency with tools like Jira and Asana.

Own end-to-end delivery of customer projects for an AI revenue platform. Build Python/React solutions using internal APIs, scope requirements, and drive execution in an FDE-style capacity.

Forward Deployed Engineer partnering with enterprise customers to implement Kong’s API and AI gateway platform, build automation and migration tooling, and deliver production solutions across cloud-native environments. Requires 8+ years in platform/SRE/software engineering and deep expertise in Kubernetes, cloud infrastructure, and scripting languages.

Deploys data-driven software solutions by partnering with customers, integrating datasets, designing workflows, training users, and presenting outcomes. Requires fluent business Japanese and English, strong problem-solving ability, and substantial travel.

Build and deploy production software, applications, and integrations directly within strategic automotive customer environments across EMEA. The role requires 4+ years of software engineering experience, full-stack capability, customer-facing technical experience, and strong autonomy.

Forward Deployed Engineer builds production-grade full-stack software directly with healthcare customers, embedding in operations to identify bottlenecks, design resilient workflow systems, and shape product evolution from real-world insights.

Partners with key customers to architect Stripe billing solutions, co-sell with GTM partners, and provide technical leadership on monetization strategies. Requires 10+ years in customer-facing engineering roles like solutions architect or sales engineer, with strong API and enterprise ecosystem knowledge.

Forward Deployed Engineer works directly with strategic customers to deploy AI agent infrastructure, leading technical discovery, building integrations on platform APIs and customer infra, and ensuring deployment success while feeding insights back to product teams. Requires strong systems engineering skills in cloud, containers, and production code.

Leads technical implementation for enterprise housing customers, owning presales discovery, platform configuration, integrations, and go-live. Partners with sales and success teams, requiring 3+ years in solutions/implementation engineering and strong API/SQL skills.

Deployed Research Engineer works directly with AI labs to build custom algorithms, models, and pipelines for high-quality video datasets at scale. Requires strong Python/PyTorch skills, customer collaboration, and end-to-end delivery from prototypes to production.

Leads end-to-end implementation and adoption of Rippling's HR, payroll, benefits, and IT products for customers. Requires 2+ years in SaaS implementation/customer experience and strong project management skills.

Implementation Manager building client relationships and translating private equity fund accounting experience into product requirements for fund management software. Requires 5+ years of private equity fund accounting experience and an accounting/finance degree.

Leads technical client engagements for fraud and AML solutions, including data analysis, platform configuration, ML model optimization, and strategy development to enhance risk detection and business outcomes. Requires 4+ years in fraud/AML and advanced SQL skills.

Works directly with customers to implement AI technology, build customizations, and own end-to-end high-stakes deployments. Requires strong coding in Python/TypeScript/JavaScript, customer-facing skills, and onsite presence in San Francisco 4 days/week.

Builds enterprise-grade AI agents for insurance customers by collaborating with CTO, translating customer needs into production solutions, and implementing cutting-edge AI capabilities. Requires 3+ years consumer-facing engineering with strong Python backend experience.

Build and deploy production-grade LLM agents and workflows for enterprise customers, integrating tools, APIs, and sensitive data sources. The role combines software engineering, customer-facing technical leadership, end-to-end solution ownership, and enterprise reliability, safety, and auditability.

Forward Deployed Engineer owns technical pre-sales, customer implementations, agentic AI deployments, and product feedback for Oscilar's AI risk decisioning platform in fintech. Requires 5+ years in technical customer-facing roles, deep AI/ML expertise, and financial services experience.

Leads end-to-end accounting implementations for AI platform clients, configuring workflows, driving migrations, and ensuring post-launch success with CFOs and controllers. Requires 3-5 years experience in accounting/finance and client-facing projects in high-growth tech environments.

Leads end-to-end technical delivery for complex partner integrations, ships scalable product and platform improvements, and collaborates with Sales, GTM, Product, and engineering teams. Requires 2+ years software engineering experience building backend systems with strong communication skills.

Leads end-to-end technical delivery for complex partner integrations, ships scalable product improvements, and collaborates with Sales, GTM, Product, and engineering teams. Requires 5+ years software engineering experience building backend systems with strong communication and problem-solving skills.

Customer-facing engineer owning end-to-end deployments, configurations, debugging, and integrations for enterprise AI asset management software. Requires 5+ years Python/SQL experience, cloud skills, and customer-facing technical work; hybrid Bay Area with travel.

Leads enterprise AI-agent implementations from strategy through launch, partnering with customers and internal teams to configure, test, and scale deployments. Requires 4+ years in software implementation or a similar customer-facing role, plus fluency with SaaS platforms, integrations, and APIs.

Leads end-to-end delivery of AI solutions for manufacturing customers, architecting implementations, driving adoption and value realization, coordinating teams, and managing margins. Requires 4-8+ years in solutions consulting or technical delivery with AI/ML/SaaS experience preferred.

Leads technical onboarding, implementation, and optimization of CodeRabbit platform for enterprise customers post-sales. Configures integrations with CI/CD pipelines and cloud environments (AWS/GCP/Azure), delivers trainings, handles escalations, and drives adoption. Requires 5+ years customer-facing technical experience.

The Deployment Strategist Intern works with customers and cross-functional teams to turn complex data and operational problems into effective software deployments. The role combines customer discovery, quantitative analysis, data integration, training, demos, and executive communication.

Deploys AI/ML workflows for scientists and pharma customers, owning pilots from scoping to production. Configures models, optimizes pipelines, and feeds insights to product team. Requires strong Python engineering and AI systems experience.

Leads technical evaluations and pre-sales for ClickHouse + Langfuse in LLM observability, engaging AI engineering teams to map requirements to platform capabilities. Builds community presence, creates technical content, and sources pipeline in the AI ecosystem.

Forward Deployed Software Engineers at Palantir work directly with federal health and civilian agency customers to understand complex problems and build full-stack solutions, including data pipelines, AI agents, and operational workflows. Requires strong engineering background, proficiency in languages like Python/Java/TS, ability to work autonomously in dynamic environments, and Top Secret clearance (or willingness to obtain).

Delivers technical projects for strategic customers, implementing PostgreSQL migrations, schema designs, query optimizations, and production deployments using TigerData features and AI tools. Requires deep hands-on PostgreSQL/SQL/Python expertise and customer-facing delivery skills.

Leads end-to-end deployment and optimization of AI Virtual Agents and CX automation workflows for enterprise customers. Requires 5+ years in a technical customer-facing role, strong coding and API integration skills, and the ability to translate requirements into production solutions.

Owns non-technical lifecycle of Forward Deployed Engineering engagements with strategic customers, from C-suite scoping and PRD creation to agile project delivery and solution adoption. Partners with sales and engineers on high-value AI pilots requiring product mindset and execution drive.

This internship delivers end-to-end, data-driven software solutions for clients, combining hands-on development, large-scale data work, architecture, and stakeholder collaboration. Candidates should be strong programmers, independent problem-solvers, and graduating students seeking their final internship before a 2027 graduation.

Partners with enterprise customers to evaluate and adopt Cursor, leading technical discovery, demonstrations, proofs of concept, solution design, and onboarding. The role requires strong technical fluency, customer communication, and experience in field engineering, solutions architecture, pre-sales, or enterprise software consulting.