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Solution Architect

EricssonNoida, Karnataka, IndiaPosted 19 May 2026

Ericsson is seeking a Solution Architect in Noida to design and manage complex technical solutions within their AI/ML infrastructure. You will be responsible for defining roadmaps, developing solution components, and ensuring robust data pipeline performance. The role requires extensive experience in large-scale production systems, cloud platforms, and MLOps practices. This position focuses on driving technical strategy and translating customer needs into scalable operational capabilities.

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Experience

10+ years

Function

Engineering

Work mode

Onsite, India

Company

Tier 2

What you will work on

Ericsson is seeking a Solution Architect in Noida to design and manage complex technical solutions within their AI/ML infrastructure. You will be responsible for defining roadmaps, developing solution components, and ensuring robust data pipeline performance. The role requires extensive experience in large-scale production systems, cloud platforms, and MLOps practices. This position focuses on driving technical strategy and translating customer needs into scalable operational capabilities.

TAL's take

Quality 65/1005/5 clarityTier 2 company

Solid tier-2 global firm with clear architectural scope and specific requirements for a senior-level data and ML infrastructure role.

JD provides clear responsibilities, a specific tech stack, and a clear architectural focus.

Salaries at Ericsson

22.2 LPA average

Based on 56 Grapevine salary entries for Ericsson.

View all salaries

Engineering

0 - 2 years | JS4

9 LPA average

Range: 7 - 10 LPA

Engineering

4 - 6 years | JS4

10 LPA average

Range: 9 - 12 LPA

Engineering

6 - 8 years | JS5

15 LPA average

Range: 5 - 36 LPA

Engineering

8 - 10 years | L6

23 LPA average

Range: 11 - 40 LPA

Must haves

  • 10+ years programming in large scale production systems
  • Proficiency in Python and data analysis packages
  • Excellent knowledge of SQL and NoSQL databases
  • Experience with container-ecosystems like Docker and Kubernetes
  • Designing scalable data pipelines with open source tools
  • 4+ years experience in architecting and deploying ML/DL models (ML Ops)

Tools and skills

pythonpysparkairflowscikit-learnscipynumpypandasmatplotlibsqlmongodbcassandraelasticsearchkafkaapache sparkdockerkubernetesapache nifiazuregcpaws

Nice to have: machine learning, deep learning, ai/ml model governance.

About the company

Established global telecommunications equipment and services company.

Posts mentioning Ericsson