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.