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1 день назад

Senior Forward Deployed Engineer (AI)

207 957 - 305 004$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Forward Deployed Engineer (AI): Architecting, building, and deploying production-grade enterprise AI solutions, including agentic workflows, RAG pipelines, knowledge graphs, and real-time decision-making applications, with an accent on customer-driven solution ownership and rapid prototyping. Focus on integrating heterogeneous enterprise systems, orchestrating multi-agent workflows, managing GPU infrastructure, and optimizing trustworthy AI applications in production.

Location: Remote work from home in the United States; travel up to 25% for on-site customer engagements.

Salary: $207,957–$305,003.60 per year, depending on geographic market, skills, knowledge, and experience. Additional compensation may include annual bonuses or incentives, equity awards, and an Employee Stock Purchase Plan.

Company

hirify.global Technology provides multicloud solutions across applications, data, and security, including the design, implementation, management, and optimization of enterprise technology solutions.

What you will do

  • Diagnose enterprise business challenges, map data landscapes, and co-design AI solutions with customers.
  • Design and deliver agentic AI workflows, RAG pipelines, knowledge graphs, and real-time decision-making applications.
  • Lead rapid prototypes and proof-of-concepts, then own scoping, architecture, development, deployment, and post-launch optimization.
  • Build production-grade AI applications on Partner Foundry Solutions or hirify.global Private Cloud and GPU infrastructure.
  • Develop scalable data pipelines and integrate ERP, CRM, data warehouses, data lakes, and streaming architectures.
  • Collaborate with sales, customer success, Product, and Platform Engineering while mentoring engineers and creating reusable architectures and accelerators.

Requirements

  • Palantir certification is required.
  • 10+ years of experience in software engineering, data engineering, or AI/ML delivery, including at least 4 years in customer-facing or field roles.
  • Production-scale enterprise AI/ML delivery experience and strong full-stack skills in Python, Node.js or Go, React or Vue, and SQL/NoSQL databases.
  • Hands-on experience with LLMs, prompt engineering, vector databases, data pipelines, RAG, agent orchestration, knowledge graphs, and ontology modeling.
  • Strong DevOps experience with Docker, Kubernetes, CI/CD, GPU infrastructure, and cloud-native deployment; familiarity with NVIDIA H100/B200, InfiniBand, OpenStack, and VMware.
  • Ability to translate ambiguous customer needs into engineering plans and communicate with C-suite stakeholders, technical teams, and cross-functional partners.

Nice to have

  • Experience with Palantir Foundry, AIP, Uniphore BAIC, or similar enterprise AI platforms.
  • Knowledge of SLM fine-tuning, model distillation, RLHF, and AI evaluation frameworks.
  • Experience in technology consulting, AI startups, Forward Deployed Engineering, or Solutions Engineering.
  • Domain expertise in financial services, healthcare, supply chain, defense, energy, or manufacturing.

Culture & Benefits

  • Remote work from home in the US with travel for customer engagements.
  • Opportunity to work on strategic enterprise AI solutions with the scale and resources of a global technology company.
  • Annual bonus or incentive opportunities, equity awards, and an Employee Stock Purchase Plan may be available.
  • Inclusive workplace with equal employment opportunity and accommodations for disabilities or special needs.

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