Generative AI Architect

Job Description

Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI , and autonomous intelligent systems . We design and build intelligent, secure, and scalable platforms that are reshaping the future across industries. Role Overview: We are looking for a visionary and hands-on Generative AI Architect with 10+ years of experience in building scalable AI and data platforms, including 3+ years of expertise in Generative AI technologies . The ideal candidate will lead the design, development, and deployment of intelligent systems that integrate large language models (LLMs), multimodal AI, and other cutting-edge GenAI capabilities into real-world applications. This is a strategic and high-impact role that combines deep technical leadership with product innovation to define the future of AI at Techvantage.ai. What we are looking from an ideal candidate? Architect and lead end-to-end solutions involving LLMs , diffusion models , transformers , and multimodal AI across enterprise and consumer use cases. Design robust and scalable architectures for prompt engineering , model orchestration , embedding pipelines , vector databases , and fine-tuning/instruction tuning . Evaluate and integrate open-source and proprietary models (e.g., OpenAI , Anthropic , Mistral , LLaMA , Claude , Gemini , etc.) based on business requirements. Lead model selection, finetuning, RAG (Retrieval-Augmented Generation), prompt optimization, and latency vs. performance tradeoffs. Collaborate with product managers, data scientists, engineers, and clients to design GenAI-powered applications aligned with business goals. Ensure adherence to ethical AI practices , data privacy , model safety , and bias mitigation . Contribute to internal GenAI accelerators, reusable frameworks, and innovation strategies. Stay at the forefront of AI/ML advancements and drive PoCs and pilot implementations across industry verticals. Preferred Skills: What skills do you need? Required Skills & Qualifications: 10+ years of experience in technology roles, including AI/ML architecture, data engineering, or solution architecture . At least 3+ years of experience in designing and deploying Generative AI solutions . Deep knowledge of transformer architectures , LLMs , diffusion models , and related frameworks (e.g., Hugging Face, LangChain, LlamaIndex, Haystack, etc.). Experience with prompt engineering , RAG pipelines , and vector database technologies ( FAISS , Weaviate , Pinecone , Chroma , etc.). Proficiency in Python , Docker , Kubernetes , and cloud platforms ( AWS , Azure , or GCP ). Strong understanding of MLOps , CI/CD for ML , and model lifecycle management. Excellent communication and stakeholder management skills, with the ability to explain complex AI concepts to non-technical audiences. Preferred Qualifications: Experience deploying GenAI systems in BFSI, healthcare, e-commerce, or enterprise SaaS platforms. Familiarity with agentic AI systems , autoML , RLHF , or autonomous agents. Knowledge of data governance, compliance, and responsible AI frameworks. Contributions to open-source AI projects or publications in AI/ML are a strong plus. Master’s or PhD in Computer Science, AI/ML, Data Science, or a related field is preferred. What We Offer: Lead innovation at the edge of Generative AI and intelligent systems Work with a talented team building future-ready AI infrastructure Access to state-of-the-art tools, models, and cloud credits Compensation is not a constraint for the right candidate