We are a team of cloud enthusiasts, keen and spirited to make the latest cloud technologies work for you.
Rapyder is an agile, innovative company that makes Cloud work for you. With a young, passionate team and expertise in Cloud Computing Solutions, Big Data, Marketing & Commerce, DevOps, and Managed Services, Rapyder is the leading provider of Strategic Cloud Consulting. Solutions provided by Rapyder are seamless, secure, and scalable. With headquarters in Bangalore, sales & Support offices located in Delhi, and Mumbai, we ensure optimal technology solutions to reduce costs, streamline business processes and gain business advantages for our customers.
Position: AI/ML Solution Architect (GenAI Specialist)
Team: ML/GenAI Team
Number of Resources Needed: 1
Years of Experience: 3-5 Years
Educational Background: BCA, MCA, B.Tech/B.E, M.Tech/ME
Type: Full-time
Expected Joining Date: ASAP
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:
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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.
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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).
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Design and deliver compelling Solution and SoW and demonstrations of our Generative AI offerings to both technical and non-technical audiences.
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Design Retrieval-Augmented Generation (RAG), prompt engineering strategies, vector database integrations, and model fine-tuning where required.
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Translate business objectives into technical roadmaps, collaborating closely with product managers, engineers, and data scientists.
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Create prototypes and proof-of-concepts (PoCs) to validate solution feasibility and performance.
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Provide technical mentorship, best practices, and governance guidance across teams and clients.
Skills & Experience Required:
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Educational Background: Master’s/Bachelor’s degree in computer science, Engineering, or a related field. (e.g., BCA, MCA, B.Tech/B.E, M.Tech/ME)
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3-5 years of experience in AI/ML development/solutioning, with at least 1-2 years in Generative AI/NLP applications.
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Strong command of transformers, LLMs, embeddings, and NLP methods.
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Proficiency with LangChain, LlamaIndex, Hugging Face Transformers, and cloud AI tools (SageMaker, Bedrock, Azure OpenAI, Vertex AI).
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Experience with vector databases like FAISS, Pinecone, or Weaviate.
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Familiarity with MLOps practices, including model deployment, monitoring, and retraining pipelines.
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Skilled in Python, with working knowledge of APIs, Docker, CI/CD, and RESTful services.
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Experience in building solutions in both agile startup environments and structured enterprise settings.
Preferred/Bonus Skills:
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Certifications (e.g., AWS Machine Learning Specialty, Azure AI Engineer).
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Exposure to multimodal AI (text, image, audio/video) and Agentic AI.
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Experience with data privacy, responsible AI, and model interpretability frameworks.
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Familiarity with enterprise security, scalability, and governance standards.
Soft Skills:
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Entrepreneurial mindset with a bias for action and rapid prototyping.
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Strong communication and stakeholder management skills.
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Comfortable navigating ambiguity in startups and structured processes in enterprises.
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Team player with a passion for continuous learning and AI innovation.
What We Offer:
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The flexibility and creativity of a startup-style team with the impact and stability of enterprise-scale work.
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Opportunities to work with cutting-edge GenAI tools and frameworks.
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Collaborative environment with cross-functional tech and business teams.
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Career growth in a high-demand, high-impact AI/ML domain.
