Forward Deployed Application/ML Engineering Expert

Job description

Role Overview

Key Responsibilities

• Design, develop, and operate production-grade, cloud-native enterprise applications integrating AI capabilities such as large language models, retrieval-augmented generation (RAG), and agent-based workflows.
• Embed directly into customer projects and cross-functional teams to understand business processes, technical landscapes, and operational challenges.
• Translate business and product requirements into robust application architectures, balancing speed, quality, security, and long-term maintainability.
• Rapidly prototype, iterate, and productionize solutions in customer environments, adapting reference architectures and reusable assets to enterprise constraints.
• Own application delivery end-to-end, from problem framing and prototyping through deployment, observability, and production operations.
• Apply AI-assisted engineering practices, evaluation frameworks, and architectural guardrails to ensure compliant, trustworthy, and high-quality solutions.
• Ensure delivery milestones, quality standards, and technical objectives are met, managing risks and technical escalations within scope.
• Act as a key technical interface to customers and internal stakeholders, communicating solution approaches, trade-offs, and progress.
• Contribute to engineering standards, best practices, and reusable components to improve efficiency and consistency across solutions.
• Required Experience
• Candidates should possess 5-10 years of relevant experience in application and machine learning engineering.
• Work Environment and Team
• This role is part of a growing AI and industry expert team dedicated to serving customers across the Americas, Europe, and Asia. The team fosters a collaborative, high-impact environment that combines deep AI expertise, strong industry knowledge, and regional understanding to support customer innovation and transformation. The team focuses on converting complex business challenges into practical, scalable solutions, valuing curiosity, ownership, and continuous learning.
• Candidate Profile
• The ideal candidate is customer-centric, motivated by meaningful outcomes, and capable of navigating ambiguity within a rapidly evolving AI landscape. This role offers opportunities for constant learning, skill growth, and collaboration within a supportive team environment.

Qualifications

• Candidates should possess 5-10 years of relevant experience in application and machine learning engineering.
• Work Environment and Team
• This role is part of a growing AI and industry expert team dedicated to serving customers across the Americas, Europe, and Asia. The team fosters a collaborative, high-impact environment that combines deep AI expertise, strong industry knowledge, and regional understanding to support customer innovation and transformation. The team focuses on converting complex business challenges into practical, scalable solutions, valuing curiosity, ownership, and continuous learning.
• Candidate Profile
• The ideal candidate is customer-centric, motivated by meaningful outcomes, and capable of navigating ambiguity within a rapidly evolving AI landscape. This role offers opportunities for constant learning, skill growth, and collaboration within a supportive team environment.