Gen AI Solution Architect
1 week ago
We are seeking an experienced Senior AI/ML Engineer to lead the design and implementation of AI-powered solutions leveraging large language models (LLMs), multimodal AI, and advanced generative technologies. You will play a pivotal role in defining the technical vision, architecture, and strategy for enterprise-grade GenAI systems — integrating them seamlessly into existing data, application, and cloud ecosystems. The ideal candidate combines deep technical expertise in AI/ML with strong solution design, stakeholder management, and hands-on implementation experience.Key Responsibilities
- Design and architect end-to-end Generative AI solutions (text, image, speech, code, etc.) that meet business objectives and technical requirements.
- Define scalable architectures for LLM integration, prompt orchestration, retrieval-augmented generation (RAG), and multi-agent workflows.
- Evaluate and select appropriate AI models, frameworks, and cloud services (e.g., OpenAI, Anthropic, Hugging Face, Azure OpenAI, Vertex AI).
- Develop architecture blueprints, data flows, and API integration strategies.
- Provide technical direction and mentorship to development teams on GenAI solution design and deployment best practices.
- Partner with Data Scientists, ML Engineers, and MLOps teams to operationalize and monitor generative AI models.
- Guide the implementation of responsible AI practices, including bias detection, data governance, and model explainability.
- Stay ahead of emerging GenAI technologies, frameworks, and model capabilities.
- Prototype and evaluate new approaches (e.g., RAG, fine-tuning, LoRA, function calling, multi-agent systems) to accelerate solution development.
- Drive proof-of-concepts (PoCs) and pilot initiatives to demonstrate business value.
- Collaborate with business leaders, product managers, and clients to identify use cases, gather requirements, and define success metrics.
- Translate business challenges into AI-powered solutions with measurable outcomes.
- Present architecture designs and recommendations to technical and executive audiences.
- 8+ years of experience in software architecture, solution design, or AI/ML systems development.
- 2+ years specifically in Generative AI, LLM-based solutions, or AI product architecture.
- Strong hands-on experience with:
- OpenAI API, LangChain, LlamaIndex, Hugging Face, or similar frameworks
- Vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus)
- Cloud AI platforms: Azure AI, AWS Bedrock, Google Vertex AI
- Python, FastAPI, RESTful APIs, microservices, and MLOps pipelines
- Deep understanding of LLM lifecycle management, prompt engineering, model evaluation, and data pipelines.
- Familiarity with enterprise AI architecture patterns — security, scalability, monitoring, and governance.
- Strong presentation and stakeholder engagement skills.
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