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Urgent! BigStep Technologies - Generative AI Solution Architect Job | BigStep Technologies

BigStep Technologies Generative AI Solution Architect



Job description

<p><p><b>Description :</b></p><p><br/>We are seeking an experienced Gen AI solution Architect with 7+ years of experience to lead the design and implementation of AI-powered solutions that leverage large language models (LLMs), multimodal AI, and advanced generative technologies.<br/><br/>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.<br/><br/>The ideal candidate combines deep technical expertise in AI/ML with strong solution design, stakeholder management, and hands-on implementation experience.<br/><br/>Key Responsibilities :<br/><br/>- Design and architect end-to-end Generative AI solutions (text, image, speech, code, etc.) that meet business objectives and technical requirements.<br/><br/>- Define scalable architectures for LLM integration, prompt orchestration, fine-tuning, retrieval-augmented generation (RAG), and multi-agent workflows.<br/><br/>- Evaluate and select appropriate AI models, frameworks, and cloud services (e.g., OpenAI, Anthropic, Hugging Face, Azure OpenAI, Vertex AI).<br/><br/>- Develop architecture blueprints, data flows, and API integration strategies.<br/><br/>- Provide technical direction and mentorship to development teams on GenAI solution design and deployment best practices.<br/><br/>- Partner with Data Scientists, ML Engineers, and MLOps teams to operationalize and monitor generative AI models.<br/><br/>- Guide the implementation of responsible AI practices, including bias detection, data governance, and model explainability.<br/><br/>- Stay ahead of emerging GenAI technologies, frameworks, and model capabilities.<br/><br/>- Prototype and evaluate new approaches (e.g., RAG, fine-tuning, LoRA, function calling, multi-agent systems) to accelerate solution development.<br/><br/>- Drive proof-of-concepts (PoCs) and pilot initiatives to demonstrate business value.<br/><br/>- Collaborate with business leaders, product managers, and clients to identify use cases, gather requirements, and define success metrics.<br/><br/>- Translate business challenges into AI-powered solutions with measurable outcomes.<br/><br/>- Present architecture designs and recommendations to technical and executive audiences.<br/><br/><b>Required Qualifications :</b><br/><br/></p><p>- 7+ years of experience in software architecture, solution design, or AI/ML systems development.<br/><br/>- 2+ years specifically in Generative AI, LLM-based solutions, or AI product architecture.<br/><br/>- Strong hands-on experience with :<br/> <br/>1.

OpenAI API, LangChain, LlamaIndex, Hugging Face, or similar frameworks.<br/><br/>2.

Vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus).<br/><br/>3.

Cloud AI platforms : Azure AI, AWS Bedrock, Google Vertex AI.<br/><br/>4.

Python, FastAPI, RESTful APIs, microservices, and MLOps pipelines.<br/><br/>- Deep understanding of LLM lifecycle management, prompt engineering, model evaluation, and data pipelines.<br/><br/>- Familiarity with enterprise AI architecture patterns security, scalability, monitoring, and governance.<br/><br/>- Strong presentation and stakeholder engagement skills.<br/><br/></p><br/></p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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