Job Description
Job Title:  Solution Architect L1
City:  Minneapolis
State/Province:  Minnesota
Posting Start Date:  12/8/25
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description: 

Job Description

Role Overview:

We are looking for an experienced Knowledge Graph Engineer/Architect to design, build, and scale our enterprise knowledge graph and semantic data platforms. The ideal candidate has strong experience in knowledge representation, graph databases, ontology modeling, and integrating structured/unstructured data to power search, reasoning, and intelligent applications.

 

Key Responsibilities

• Design and develop knowledge graphs, ontologies, and taxonomies aligned with business domains.

• Build semantic models using RDF, OWL, SHACL, or property graph approaches.

• Implement and maintain graph databases (e.g., Neo4j, AWS Neptune, Azure Cosmos DB Gremlin API, TigerGraph).

• Ingest heterogeneous datasets and convert them into graph structures using ETL pipelines.

• Work closely with product, data, and engineering teams to understand requirements and map real-world entities into graph models.

• Develop and optimise SPARQL, Cypher, or Gremlin queries for graph analytics.

• Integrate the knowledge graph with downstream systems (search, RAG pipelines, analytics, APIs).

• Ensure data quality, entity resolution, schema alignment, and consistency across sources.

• Implement reasoning, inference, metadata enrichment, and graph-based recommendations.

• Conduct POCs, evaluate graph technologies, and define best practices for knowledge graph architecture.

 

Required Skills & Experience

• 3–10+ years of experience in data engineering, semantic technologies, or knowledge graphs.

• Strong understanding of graph theory, ontologies, and linked data principles.

• Hands-on experience with at least one major graph database:

• Neo4j

• AWS Neptune

• Azure Cosmos DB (Gremlin)

• TigerGraph

• Expertise in SPARQL, Cypher, or Gremlin.

• Experience with Python or Java for graph data ingestion and pipeline development.

• Knowledge of ETL/ELT, data modeling, schema design, and API integration.

• Familiarity with modern AI/ML workflows, especially RAG (Retrieval-Augmented Generation) or LLM-driven applications is a plus.

• Understanding of semantic web standards (RDF/OWL), entity resolution, and graph embeddings.

 

Nice-to-Have Skills

• Experience with vector databases and hybrid search.

• Exposure to LLM orchestration, RAG frameworks, or knowledge-grounded AI systems.

• Background in enterprise domains such as retail, healthcare, insurance, fintech.

• Familiarity with tools like GraphQL, LangChain, Kafka, Airflow, Databricks, or Azure Data Factory.

• Knowledge of knowledge graph visualization tools (Bloom, GraphXR).

 

Soft Skills

• Strong analytical and problem-solving ability.

• Ability to translate business needs into data models.

• Excellent communication and cross-functional collaboration.

• Ownership mindset with ability to work in ambiguous environments.

 

Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or related field.

• Certifications in semantic technologies or graph databases are a plus.

 

Mandatory Skills: AI for Product Software Engineering .

 

Experience: 8-10 Years .

 

The expected compensation for this role ranges from $80,000 to $158,000 .

 

Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

 

Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

 

Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.

 

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
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Wipro is committed to creating an accessible, supportive, and inclusive workplace. Reasonable accommodation will be provided to all applicants including persons with disabilities, throughout the recruitment and selection process. Accommodations must be communicated in advance of the application, where possible, and will be reviewed on an individual basis. Wipro provides equal opportunities to all and values diversity.