AI Architect: End-to-End Multi-Agent Platforms

Tata Consultancy Services Limited; Göteborgs kommun; On-site; SEK 900,000 - 1,600,000; Full time

Benefits offered by this job

30 days vacation

Union coverage

Pension (SPP)

Pension advice

Insurances

Discount portal

Learning & development

World-class platforms

Career growth

Job summary

Tata consultancy Services is seeking an experienced AI Architect to design and deploy production-grade multi-agent AI platforms for enterprise clients in Sweden. You will bridge solution architecture, AI engineering, and business consulting, engaging with CIO/CTO level stakeholders and collaborating with engineering teams to ensure scalable, secure AI solutions.

Responsibilities include end-to-end platform delivery on Azure AI Foundry and/or AWS, building RAG pipelines, semantic search, and

Qualifications

• 8+ years of experience in AI/GenAI solution architecture.
• Proven track record delivering agentic AI in production.
• Deep expertise in LLMs, RAG, and prompt engineering.
• Strong Python programming and ML framework experience.
• Experience with enterprise integrations (SAP, ServiceNow).
• Excellent stakeholder management and bilingual English/Swedish.

Responsibilities

• Design and deliver end-to-end multi-agent AI platforms.
• Lead production deployments on Azure AI Foundry and/or AWS.
• Build RAG pipelines and enterprise knowledge solutions.
• Integrate AI with SAP, ServiceNow, and Microsoft 365.
• Develop production-quality Python code and ML pipelines.
• Mentor engineering teams and drive architecture standards.
• Engage with stakeholders and support pre-sales activities.

Skills

AI architecture

GenAI

LLMs

Python

ML frameworks

Azure/AWS

Stakeholder management

Swedish & English

Tools

Azure AI

SageMaker

Bedrock

LangChain

PyTorch

Job description

Tata consultancy Services is seeking an experienced AI Architect to design and deploy production-grade multi-agent AI platforms for enterprise clients in Sweden. You will bridge solution architecture, AI engineering, and business consulting, engaging with CIO/CTO level stakeholders and collaborating with engineering teams to ensure scalable, secure AI solutions.

Responsibilities include end-to-end platform delivery on Azure AI Foundry and/or AWS, building RAG pipelines, semantic search, and