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
Skills Required
- 10+ years of experience in software engineering, data engineering, data architecture, or solution architecture
- Strong hands-on problem-solving and coding capabilities
- Strong hands-on experience with Snowflake architecture, data modeling, ingestion, transformation, and workload management
- Strong SQL skills, including query optimization, reconciliation, performance tuning, and cost management
- Experience with Snowflake Streams, Tasks, Snowpipe, Time Travel, RBAC, and data masking
- Experience with PySpark and cloud data services across AWS, Azure, or GCP
- Strong Python skills for production-quality applications
- Experience developing backend services, APIs, data pipelines, integration components, and user-facing applications
- Experience integrating Python solutions with Snowflake, cloud services, enterprise APIs, LLMs, and vector databases
- Understanding of modular design, testing, logging, exception handling, secure coding, CI/CD, and observability
- 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
- Ability to work through ambiguity and move from problem discovery to production delivery
- Strong communication skills with technical, business, and senior leadership audiences
- Experience working in large enterprise environments with security, privacy, and governance requirements
- Academic credentials from recognized and accredited institutions, subject to verification
What the Team is Saying
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Ericsson Compensation & Benefits Highlights
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Retirement Support — An automatic employer contribution of 3% plus up to 4% in matching is outlined for U.S. employees, enabling a potential 7% total employer contribution subject to plan rules. Feedback suggests this is a standout element of the package.
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Leave & Time Off Breadth — The U.S. package specifies at least 15 vacation days for new hires, up to 3 personal days, 11 holidays, and 80 hours of sick time, with flexibility noted in taking time away. Feedback suggests time‑off breadth and usability are strong points.
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Parental & Family Support — Published materials describe up to 16 weeks of paid maternity leave and 6 weeks of paid parental or adoption leave at 100% of pay, subject to eligibility. Feedback suggests these policies provide meaningful support for families.
Ericsson Insights
What We Do
Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.
Why Work With Us
Ericsson is a place for people who want to work on technology that powers everyday life. You’ll contribute to large-scale systems used every day, tackle complex challenges in live environments, and keep developing your skills and career in your own vision.
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Ericsson Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Ericsson adopts a hybrid work model globally because we know balance matters. Sometimes things are better in real life. Other times we can be more productive at home. Our hybrid approach gives you the best of both worlds.
