AI Solutions Architect

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 Architect

Location: Onsite – Mumbai, India

AI Solution Architect

Functional 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 customers

Technical 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 optimization

Other 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 specialisation

What We Offer

• Opportunity 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.