4 дня назад
Solutions Architect (Applied AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Solutions Architect (Applied AI) (Multi-agent systems, LLMs, NLP): Designing enterprise AI agents, workflows, data strategies, and production-ready solutions with an accent on multi-agent orchestration, model integration, and NLP-driven data enrichment. Focus on selecting and optimizing LLMs, building RAG pipelines, defining multimodal data interactions, and translating prototypes into scalable AI services.
Location: Bangalore/Bengaluru, hybrid or remote
Company
develops enterprise AI solutions based on multi-agent systems, LLMs, and NLP.
What you will do
- Design AI agent capabilities, intents, interaction flows, and multi-agent orchestration architectures for specific enterprise use cases.
- Guide the selection, fine-tuning, integration, evaluation, and benchmarking of LLMs, RAG pipelines, and transformer-based models.
- Define how models process text, audio, video, and structured data.
- Advise on structured and unstructured data enrichment, entity extraction, topic modeling, summarization, and continuous-learning pipelines.
- Lead prototypes and MVPs, translate architectures into production-grade solutions, and write modular integration code.
- Consult with technical and non-technical stakeholders on AI capabilities, limitations, product direction, and delivery.
Requirements
- 8+ years of experience in relevant technical roles.
- 3–4 years of machine learning or advanced NLP experience, including model training and evaluation.
- Experience developing ML-powered enterprise applications and working with structured and unstructured data.
- 1–2 years of LLM experience, including LLM architecture, prompt engineering, and RAG frameworks.
- Understanding of multimodal agent delivery, including text, audio, and video.
- Strong problem-solving, communication, stakeholder management, ownership, and end-to-end delivery skills.
Nice to have
- Experience with AWS, GCP, or Azure ML platforms.
- Familiarity with agent orchestration platforms or LangChain-like frameworks.
- Understanding of vector databases, embeddings, and context-aware retrieval systems.
Culture & Benefits
- Full-time employment.
- Hybrid or remote work arrangement in Bangalore/Bengaluru.
- Ownership and accountability across AI initiatives.
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