APPLICATION ARCHITECT L1

Job description:Job Description Key Responsibilities:Data Science & Analytics:Have familiarity with designing, developing and deploying statistical models, machine learning algorithms, and analytical framework to support channel business decisionsHave hands on experience in conducting exploratory data analysis to surface insights on sales performance, inventoryHave familiarity with building an maintaining forecasting modelsTranslate complex analytical outputs in clear, actionable recommendations for business audienceData Governance & Metric Definition:Serve as the data steward for key data domains owning definitions, lineage and quality standardsDevelop an maintain data dictionaries, business glossaries and lineage documentationDefine and monitor data quality riles, triage and resolve data issues in partnership with engineeringEnsure AI outputs and agent generated content are traceable back to governed, trusted data sourcesDesign, build and deploy AI agents that automate recurring analytical workflow in data governanceWhat You’ll bringRequiredexperience across data science, data engineering, or analytics — with at least 2 years in a retail or consumer goods environmentStrong proficiency in SQL and Python (pandas, scikit-learn, statsmodels, or similar)Familiarity with causal inference methods and experiment designFamiliarity with building and maintaining data pipelines (Airflow, dbt, Spark, or similar)Practical experience building or deploying AI agents or LLM-powered applicationsFamiliarity with knowledge graph technologies (RDF, property graphs, Neo4j)Experience with data governance practices — data quality, metadata management, or data stewardshipAbility to communicate complex findings clearly to non-technical stakeholdersNice to have:Experience with multi-agent frameworks (Claude Agent SDK, LangGraph, CrewAI, or similar)Exposure to ontology design or entity resolution in a retail contextFamiliarity with data governance frameworks (DAMA-DMBOK or similaGraph query languages (SPARQL, Cypher)Cloud data platform experience (Snowflake, BigQuery, Databricks)Strong proficiency in SQL and Python (e.g., pandas, scikit-learn, statsmodels, or similar)Have familiarity with designing, developing and deploying statistical models, machine learning algorithms, and analytical framework to support channel business decisions.experience in a retail or consumer goods environmentPractical experience building or deploying AI agents or LLM-powered applicationsExperience with data governance practices, including data quality, metadata management, or data stewardshipFamiliarity with knowledge graph technologies (RDF, property graphs, Neo4j)Mandatory Skills: Fullstack Java Enterprise . Experience: 8-10 Years. The expected compensation for this role ranges from $80,000 to $173,800 . 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.