Forward Deployed AI Engineer (Multiple Levels)

Qualifications

• 3+ years of experience in software engineering, AI engineering, solutions engineering, deployment engineering, technical consulting, or a related field. Candidates with additional experience may be considered for senior or lead-level opportunities.
• Proven ability to build and deliver production systems from requirements gathering through implementation and adoption.
• Strong software engineering skills with experience building production systems in Python, Java, Go, TypeScript, or similar languages, along with experience working with APIs, SQL, cloud platforms, data pipelines, and modern application architectures.
• Experience building or deploying AI, machine learning, generative AI, or LLM-based applications in production environments.
• Ability to translate ambiguous problems into practical, scalable technical solutions.
• Strong systems thinking and an understanding of reliability, security, performance, and maintainability considerations.
• Excellent communication skills with the ability to engage effectively with technical teams, business stakeholders, and clients.
• Experience collaborating directly with customers, gathering requirements, and building trusted relationships.
• Ability to lead technical discussions, influence decisions, and drive projects forward in fast-paced environments.
• Comfortable working in highly collaborative, entrepreneurial environments with a strong sense of ownership.
• Ability and willingness to travel approximately 30% to client locations for discovery, workshops, implementation support, and strategic collaboration.
• Experience working in a Forward Deployed Engineer, Solutions Engineer, Technical Consultant, Customer Engineer, or similar client-facing engineering role.
• Experience building and deploying applications in cloud environments such as AWS, Azure, or Google Cloud.
• Experience working in fast-growing technology companies, startup environments, or highly entrepreneurial teams.
• Experience supporting enterprise clients and leading complex technical engagements.
• Familiarity with retail, consumer packaged goods (CPG), analytics, or data-driven decision-making environments.