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Rapyder Cloud Solutions - AI / ML Solution Architect - Generative AI

Rapyder Cloud Solutions - AI / ML Solution Architect - Generative AI

RAPYDER CLOUD SOLUTIONS PRIVATE LIMITEDBangalore
18 hours ago
Job description

Description : Role Summary :

We are looking for an AI / ML Solution Architect with expertise in Generative AI (GenAI) to help design, build, and deploy cutting-edge AI solutions.

Whether working in the rapid-paced innovation cycle of a startup or scaling production-grade GenAI systems for enterprise clients, you will serve as a key enabler of value-driven, secure, and scalable AI deployments.

Key Responsibilities :

  • Collaborate with sales teams to understand customer requirements and provide expert guidance on ML / Generative AI solutions across a wide range of use cases : content generation, document automation, chatbots, virtual assistants, summarization, search, personalization, and more.
  • Evaluate and integrate open-source LLMs (e.g., LLaMA, Mistral, Falcon), commercial APIs (e.g., GPT-4, Claude, Gemini), and cloud-native GenAI platforms (e.g., AWS Bedrock, Azure OpenAI).
  • Design and deliver compelling Solution and SoW and demonstrations of our Generative AI offerings to both technical and non-technical audiences.
  • Design Retrieval-Augmented Generation (RAG), prompt engineering strategies, vector database integrations, and model fine-tuning where required.
  • Translate business objectives into technical roadmaps, collaborating closely with product managers, engineers, and data scientists.
  • Create prototypes and proof-of-concepts (PoCs) to validate solution feasibility and performance.
  • Provide technical mentorship, best practices, and governance guidance across teams and clients.

Skills & Experience Required :

  • Educational Background : Masters / Bachelors degree in computer science, Engineering, or a related field. (e.g., BCA, MCA, B.Tech / B.E, M.Tech / ME)
  • 3-5 years of experience in AI / ML development / solutioning, with at least 1-2 years in Generative AI / NLP applications.
  • Strong command of transformers, LLMs, embeddings, and NLP methods.
  • Proficiency with LangChain, LlamaIndex, Hugging Face Transformers, and cloud AI tools (SageMaker, Bedrock, Azure OpenAI, Vertex AI).
  • Experience with vector databases like FAISS, Pinecone, or Weaviate.
  • Familiarity with MLOps practices, including model deployment, monitoring, and retraining pipelines.
  • Skilled in Python, with working knowledge of APIs, Docker, CI / CD, and RESTful services.
  • Experience in building solutions in both agile startup environments and structured enterprise settings.
  • Preferred / Bonus Skills :

  • Certifications (e.g., AWS Machine Learning Specialty, Azure AI Engineer).
  • Exposure to multimodal AI (text, image, audio / video) and Agentic AI.
  • Experience with data privacy, responsible AI, and model interpretability frameworks.
  • Familiarity with enterprise security, scalability, and governance standards.
  • Soft Skills :

  • Entrepreneurial mindset with a bias for action and rapid prototyping.
  • Strong communication and stakeholder management skills.
  • Comfortable navigating ambiguity in startups and structured processes in enterprises.
  • Team player with a passion for continuous learning and AI innovation.
  • What We Offer :

  • The flexibility and creativity of a startup-style team with the impact and stability of enterprise-scale work.
  • Opportunities to work with cutting-edge GenAI tools and frameworks.
  • Collaborative environment with cross-functional tech and business teams.
  • Career growth in a high-demand, high-impact AI / ML domain
  • (ref : hirist.tech)

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