Generative Ai Architect

5 days ago

Thiruvananthapuram Kerala, India Techvantage Systems Full time

**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**:
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.
- 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.
- 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

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