Forward Deployed AI Engineer

• Lead technical discovery with clients to understand their systems, data, workflows, security requirements, and technical challenges
• Translate business needs and approved architectures into clear technical plans, implementation priorities, and deployment activities
• Develop and integrate production-ready solutions using APIs, enterprise applications, cloud services, data platforms, and AI technologies
• Collaborate with AI Engineers, Software Engineers, Data Engineers, and Architects to coordinate technical implementation and resolve integration challenges
• Own technical deployment and rollout within the agreed scope, ensuring solutions operate reliably in client environments
• Work closely with client teams during implementation, resolve technical issues, support adoption, and enable users to operate deployed solutions
• Track technical delivery progress, production performance, costs, and measurable outcomes while documenting solutions and reusable engineering practices

• Strong hands-on experience developing, integrating, and deploying production software, AI, data, or cloud solutions
• Experience writing, debugging, and maintaining production-quality code
• Experience integrating enterprise applications, APIs, data sources, authentication systems, and cloud services
• Proven ability to translate technical requirements into implementation plans and production deployments
• Experience working directly with clients or business stakeholders while maintaining technical ownership
• Strong communication skills, including the ability to explain technical decisions, risks, and implementation challenges to technical and non-technical audiences
• Strong programming skills in at least one relevant language, such as Python, TypeScript/JavaScript, Java, or C#/.NET
• Experience with REST APIs, webhooks, enterprise integrations, and backend services
• Hands-on experience with at least one major cloud ecosystem, such as AWS, Azure, or GCP
• Understanding of software engineering practices, including Git, testing, CI/CD, containers, and production monitoring
• Familiarity with AI/GenAI technologies, including LLM APIs, RAG, AI agents, and AI-enabled workflows
• Knowledge of application security, authentication, identity management, and production deployment practices
• Advanced experience building GenAI applications, RAG systems, or agentic workflows
• Experience with frameworks and tools such as LangGraph, MCP, OpenAI, Anthropic, or comparable technologies
• Background in backend, full-stack, data, or cloud/platform engineering
• Experience designing solutions for complex enterprise or regulated environments
• Consulting or professional services experience with multiple clients
• Experience in Forward Deployed Engineering, Customer Engineering, or other client-embedded technical roles

• International and multicultural projects
• Opportunities to work with leading technologies in Data, Cloud, and AI ecosystems
• Access to training programs and continuous professional development
• Professional growth opportunities and internal mobility
• A culture built on collaboration, innovation, and continuous learning