Senior AI Field Engineer (Enterprise)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Field Engineer (Enterprise) based in United States. This is a high-impact opportunity for a hands-on AI engineering expert to work directly with enterprise customers on the design, deployment, and scaling of production-grade generative AI systems. In this role, you will operate at the intersection of advanced machine learning and real-world infrastructure, translating cutting-edge AI capabilities into reliable, secure, and scalable enterprise solutions. You will partner closely with client engineering teams to architect deployments, run evaluations, and solve complex integration challenges within regulated and high-scale environments. The position combines deep technical execution with strategic advisory responsibilities, requiring both strong engineering depth and executive-level communication skills. You will also play a key role in shaping product direction through direct feedback from enterprise implementations. This is a remote-first role with meaningful travel to support strategic customers on-site. \n Accountabilities: Lead technical discovery sessions with enterprise clients to define requirements, scope AI solutions, and design deployment strategies. Build, deploy, and optimize end-to-end generative AI proof-of-concepts and production systems within customer environments. Conduct performance testing, load evaluations, and model validation to ensure scalable and reliable AI deployments. Advise enterprise engineering teams on model selection, fine-tuning approaches, inference optimization, and evaluation frameworks. Serve as the primary technical owner for assigned accounts, aligning stakeholders and resolving complex architectural and integration challenges. Translate enterprise customer needs into actionable feedback for internal product and engineering teams to influence roadmap decisions. Navigate complex security, compliance, and infrastructure requirements across cloud and on-prem environments. Support enterprise rollout and productionization efforts in collaboration with customer engineering and internal teams. Requirements: 3+ years of experience in AI/ML engineering, solutions architecture, MLOps, or similar customer-facing technical roles. Proven track record of deploying AI/ML systems into live production environments, not limited to prototypes or conceptual work. Strong hands-on experience with large language models, including inference, fine-tuning, and open-source LLM frameworks. Proficiency in Python with strong software engineering fundamentals. Experience working with cloud platforms such as AWS, Azure, or GCP and containerized environments (e.g., Kubernetes). Familiarity with GPU optimization and high-performance compute environments. Strong understanding of modern AI deployment stacks, model serving infrastructure, and evaluation methodologies. Excellent communication skills with the ability to engage both engineering teams and senior business stakeholders. Ability to operate in fast-paced, high-ownership environments with shifting priorities and multiple concurrent projects. Strong problem-solving mindset with the ability to work across ambiguous and complex technical environments. Benefits: Total target compensation (OTE) ranging from $220,000 to $280,000 USD, plus meaningful equity in a high-growth, venture-backed company. Fully remote-friendly role across the United States, with flexibility for exceptional candidates. Opportunity to work with cutting-edge generative AI technologies at enterprise scale. Regular travel to support strategic enterprise customers on-site for architecture and deployment initiatives. Visa transfer and immigration support available for eligible candidates. High-impact role with direct influence on product direction and technical roadmap. Collaborative, fast-paced environment focused on innovation and real-world AI deployment. \n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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