AI Solutions Architect

4 years

0 Lacs

Posted:20 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description


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.

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