Designs and delivers enterprise people-data, analytics, and AI solutions from discovery through production support. Responsibilities include Snowflake architecture, cloud data platforms, pipelines, APIs, full-stack Python development, RAG and agentic AI applications, legacy modernization, governance, security, observability, and responsible AI. The role requires hands-on coding, architecture leadership, stakeholder communication, and the ability to guide solutions through enterprise delivery.
Join our Team
We are seeking a hands-on Data & AI Solution Architect to design and deliver enterprise People Data, analytics, and AI solutions.
This role requires a Forward Deployed Engineering mindset: working directly with business and technology teams to understand problems, rapidly validate ideas, and convert them into secure, scalable, production-ready solutions. The candidate should be comfortable moving between architecture, coding, delivery, and senior stakeholder discussions.
Key Responsibilities
• Translate business problems and workflows into technical requirements, solution architectures, prototypes, and delivery plans.• Own solutions end to end-from discovery and architecture through development, deployment, and production support.• Design cloud-native data platforms, pipelines, data models, APIs, applications, and AI integrations.• Build proofs of concept quickly and evolve successful prototypes into reusable production capabilities.• Architect AI and GenAI solutions, including RAG applications, intelligent assistants, and agentic workflows.• Modernize legacy data workloads and support migration to Snowflake and other cloud platforms.• Establish data quality, lineage, security, RBAC, privacy, monitoring, and responsible AI controls.• Lead technical discussions with engineers, business teams, security, enterprise architecture, and senior stakeholders.• Clearly communicate solution options, architecture decisions, risks, trade-offs, and implementation roadmaps.
Core Technical Capabilities
Snowflake and Data Engineering
• Strong hands-on experience with Snowflake architecture, data modelling, ingestion, transformation, and workload management.• Ability to design databases, schemas, tables, views, and scalable ETL/ELT pipelines.• Experience with Snowflake capabilities such as Streams, Tasks, Snow pipe, Time Travel, RBAC, and data masking.• Strong SQL skills, including query optimization, reconciliation, performance tuning, and cost management.• Experience with Py Spark and cloud data services across AWS, Azure, or GCP.
Python and Full-Stack Engineering
AI and GenAI
Required Competencies
"All academic credentials must be from recognized and accredited institutions and are further subject to verification."
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: India (IN) || Noida
Req ID: 794290
We are seeking a hands-on Data & AI Solution Architect to design and deliver enterprise People Data, analytics, and AI solutions.
This role requires a Forward Deployed Engineering mindset: working directly with business and technology teams to understand problems, rapidly validate ideas, and convert them into secure, scalable, production-ready solutions. The candidate should be comfortable moving between architecture, coding, delivery, and senior stakeholder discussions.
Key Responsibilities
• Translate business problems and workflows into technical requirements, solution architectures, prototypes, and delivery plans.• Own solutions end to end-from discovery and architecture through development, deployment, and production support.• Design cloud-native data platforms, pipelines, data models, APIs, applications, and AI integrations.• Build proofs of concept quickly and evolve successful prototypes into reusable production capabilities.• Architect AI and GenAI solutions, including RAG applications, intelligent assistants, and agentic workflows.• Modernize legacy data workloads and support migration to Snowflake and other cloud platforms.• Establish data quality, lineage, security, RBAC, privacy, monitoring, and responsible AI controls.• Lead technical discussions with engineers, business teams, security, enterprise architecture, and senior stakeholders.• Clearly communicate solution options, architecture decisions, risks, trade-offs, and implementation roadmaps.
Core Technical Capabilities
Snowflake and Data Engineering
• Strong hands-on experience with Snowflake architecture, data modelling, ingestion, transformation, and workload management.• Ability to design databases, schemas, tables, views, and scalable ETL/ELT pipelines.• Experience with Snowflake capabilities such as Streams, Tasks, Snow pipe, Time Travel, RBAC, and data masking.• Strong SQL skills, including query optimization, reconciliation, performance tuning, and cost management.• Experience with Py Spark and cloud data services across AWS, Azure, or GCP.
Python and Full-Stack Engineering
- Strong Python skills with the ability to build production-quality applications, not only scripts or notebooks.
- Experience developing backend services, APIs, data pipelines, integration components, and user-facing applications.
- Ability to integrate Python solutions with Snowflake, cloud services, enterprise APIs, LLMs, and vector databases.
- Good understanding of modular design, testing, logging, exception handling, secure coding, CI/CD, and observability.
- Comfortable reviewing code, troubleshooting production issues, and guiding engineering teams.
AI and GenAI
- Experience building LLM-powered solutions using RAG, embeddings, vector databases, and orchestration frameworks.
- Knowledge of prompt engineering, AI evaluation, model observability, hallucination mitigation, and responsible AI.
- Experience integrating AI solutions securely with enterprise data and business applications.
Required Competencies
- 10+ years in software engineering, data engineering, data architecture, or solution architecture.
- Strong hands-on problem-solving and coding capabilities.
- Ability to work through ambiguity and move quickly from problem discovery to production delivery.
- Strong communication skills across technical, business, and senior leadership audiences.
- Ability to explain complex technical concepts and influence architecture and investment decisions.
- Experience working in large enterprise environments with security, privacy, and governance requirements.
"All academic credentials must be from recognized and accredited institutions and are further subject to verification."
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: India (IN) || Noida
Req ID: 794290
Ericsson Kolkata, West Bengal, IND Office
Ericsson Kolkata Hub Office
Planned smart‑green New Town with wide roads, parks and malls, minutes from the airport and close to Salt Lake’s IT hub. Eco Park and business parks like Ecospace add leisure and convenience for families and professionals.
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