AI Solutions Architect

1 week ago

Mumbai, India Network Science Full time

Network Science is a London based AI consulting company on a mission to AIfy businesses. We help leading organizations unlock genuine business value through intelligent automation and productivity tools. Our team is made up of hands-on problem solvers who take pride in ownership, curiosity, and teamwork. If you’re eager to work on cutting-edge tech and shape the future of enterprise AI, you’ll feel right at home here.Role: AI Solutions ArchitectLocation: Onsite – Mumbai, IndiaAI Solution ArchitectFunctional Expertise:- Design end-to-end AI solutions for enterprise customers- Create reference architectures for common use cases: NSOffice.ai (AI agents, RAG systems, fine-tuning pipelines, multi-modal applications)- Define integration patterns between our AI Gateway and customer systems (CRM, ERP, data warehouses, internal APIs)- Architect multi-model orchestration strategies that optimize for cost, performance, accuracy, and compliance- Design data pipelines between AI gateway and Enterprise customersTechnical Expertise:- Experience building AI agents, multi-agent systems, and agentic workflows- Strong knowledge of prompt engineering, fine-tuning, embeddings, and RAG- Deep understanding of LLMs - architecture, capabilities, limitations, and best practices- Knowledge of AI safety, bias mitigation, and responsible AI principles- Hands-on experience with major AI providers: OpenAI (GPT-4+), Anthropic (Claude), Google (Gemini), AWS Bedrock- Understanding of model evaluation metrics and performance optimizationOther Requirements:- 4+ years in solution architecture- 2+ years specifically in AI/ML solutions and implementations- Proven track record of delivering complex technical projects- Education: CS (BE / BTech / MS) with Data & AI specialisationWhat We OfferOpportunity to shape and deliver AI adoption journeys across industries.Hands-on involvement in both strategic advisory and project delivery governance.Exposure to global clients and diverse industry use cases.A collaborative environment with continuous learning and access to the latest AI tools and research.

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