Gen AI Solution Architect

2 weeks ago


Gurugram Gurugram India BigStep Technologies Full time

Job Description Job Description 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. Required Skills & Experience - 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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