Tech S And T Product Engineer-Ardoq-NGTO-Senior-GDSF02
Ernst and Young10 hours ago
Noida, IndiaSenior
Responsibilities
- Configure and maintain Ardoq workspaces, metamodels, components, references, fields, views, surveys, permissions, dashboards, visualizations, and reports.
- Model applications, business capabilities, technologies, integrations, data flows, risks, and technical debt within Ardoq.
- Develop Python utilities and services for data ingestion, transformation, validation, enrichment, synchronization, and reconciliation.
- Build and maintain integrations between Ardoq and enterprise platforms using REST APIs, JSON, HTTPS, authentication tokens, and service accounts.
- Apply AI and large language models to analyze enterprise data, identify technical debt, classify findings, summarize issues, and generate recommendations.
- Develop AI prompts, response schemas, validation rules, grounding mechanisms, and guardrails.
- Implement scheduled imports, data mappings, error handling, logging, monitoring, and data-quality processes.
- Prepare technical designs, integration specifications, operational runbooks, and user documentation, and resolve platform, integration, access, AI-output, and data-quality issues.
Requirements
- 3 to 7 years of experience in product engineering, enterprise architecture tooling, integration development, or platform engineering.
- Hands-on experience with Ardoq workspaces, metamodels, components, references, fields, visualizations, surveys, and integrations.
- Strong Python programming skills, including API clients, data processing, automation, and error handling.
- Experience with REST APIs, JSON, HTTPS, OAuth 2.0, API tokens, and integration troubleshooting.
- Experience with AI services such as Azure OpenAI or equivalent enterprise LLM platforms, plus knowledge of retrieval-augmented generation, embeddings, vector search, AI agents, and prompt evaluation.
- Experience with FastAPI, Pydantic, Pandas, Pytest, data transformation, validation, mapping, synchronization, and reconciliation.
- Understanding of business, application, data, integration, and technology architecture and practical knowledge of prompt engineering, structured outputs, grounding, and response validation.
- Experience using Git and standard software-development practices, including code reviews, testing, and version control.
- Preferred experience includes ServiceNow CMDB, Azure DevOps, Jira, GitHub, SharePoint, Azure, AWS, PostgreSQL, SQL, Docker, Kubernetes, AKS, Power BI, Postman, Swagger, OpenAPI, API-management platforms, and CI/CD pipelines.
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline, with equivalent relevant experience considered; Ardoq or Microsoft Azure AI Engineer Associate certification is advantageous.
Tech Stack
Categories
AI ApplicationsProduct Engineering
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.