обновлено 2 дня назад
Forward Deployment Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployment Engineer (AI): Building and deploying custom AI solutions for enterprise customers with an accent on agentic AI frameworks, RAG architectures, and multi-agent orchestration. Focus on rapid prototyping, end-to-end delivery, and translating complex business requirements into scalable, production-ready AI systems.
Location: Hybrid/Onsite (RMZ TITANIUM). Willingness to travel and work on customer premises is required.
Company
is a global technology services company that designs, builds, manages, and modernizes mission-critical technology systems for the world's leading businesses.
What you will do
- Partner with customers to translate business challenges into high-quality, fit-for-purpose AI solutions.
- Build and iterate custom AI solutions using agentic AI frameworks and orchestration tools.
- Own the end-to-end delivery lifecycle, from initial scoping to production deployment.
- Troubleshoot and enhance system performance, scalability, and reliability in dynamic environments.
- Capture field intelligence and best practices to contribute to the evolution of core AI platforms.
- Collaborate within a triad delivery model alongside engineering, consulting, and product experts.
Requirements
- 2-4 years of relevant IT experience, including at least 1 year in Agentic AI frameworks and ML.
- At least 1 year of experience in building and deploying generative AI solutions.
- Demonstrable expertise in Python programming.
- Experience with multi-agent systems and orchestration frameworks like LangGraph, Semantic Kernel, or AutoGen.
- Practical knowledge of RAG architectures and integrating knowledge sources.
- Willingness to travel and work on customer premises as required.
Nice to have
- Experience with AI/ML frameworks such as TensorFlow or PyTorch.
- Familiarity with observability and evaluation platforms like LangSmith.
- Experience with cloud AI platforms (AWS, Azure, Google AI).
Culture & Benefits
- Flexible, supportive work environment prioritizing employee well-being.
- Access to cutting-edge learning opportunities and certifications from Microsoft, Google, and Amazon.
- Clearly defined career progression pathways from Junior to Principal levels.
- Focus on empathy, restless learning, and shared success within a global team.
- Comprehensive Be Well programs supporting financial, mental, physical, and social health.
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