Tech S And T Product Engineer-Ardoq-NGTO-Senior-GDSF02

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Job Title - Product Engineer - Ardoq

Experience: 3 to 7 years

Employment Type: Full-time

Role Summary:

We are looking for a Product Engineer – Ardoq to develop, configure, integrate, and enhance Ardoq-based enterprise architecture solutions. The role combines Ardoq platform engineering, Python development, API integrations, data engineering, and AI-enabled analysis.The candidate will work with Enterprise Architects, Product Owners, Solution Architects, and technology teams to automate data ingestion, improve architecture data quality, and generate actionable insights from enterprise information.

Key Responsibilities

• Configure and maintain Ardoq workspaces, metamodels, components, references, fields, views, surveys, and permissions.
• Model applications, business capabilities, technologies, integrations, data flows, risks, and technical debt.
• Develop Python utilities and services for data ingestion, transformation, validation, enrichment, and synchronization.
• Integrate Ardoq with systems such as ServiceNow, Azure DevOps, Jira, GitHub, SharePoint, Azure, AWS, and other enterprise platforms.
• Build and maintain REST API integrations using 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 and maintain AI prompts, response schemas, validation rules, and guardrails.
• Implement scheduled imports, data mappings, reconciliation, error handling, logging, and monitoring.
• Create Ardoq dashboards, visualizations, reports, and stakeholder-specific architecture views.
• Support application portfolio management, technology lifecycle management, capability mapping, and application rationalization.
• Investigate and resolve integration, platform, access, AI-output, and data-quality issues.
• Prepare technical designs, integration specifications, operational runbooks, and user documentation.

Must-Have Skills:

• 3 to 7 years of experience in product engineering, enterprise architecture tooling, integration development, or platform engineering.
• Hands-on experience of 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.
• Knowledge of Retrieval-Augmented Generation, embeddings, vector search, AI agents, and prompt evaluation.
• Experience with Python frameworks and libraries such as FastAPI, Pydantic, Pandas, and Pytest.
• Experience with data transformation, validation, mapping, synchronization, and reconciliation.
• Understanding of business, application, data, integration, and technology architecture.
• Practical knowledge of AI and LLM concepts, including prompt engineering, structured outputs, grounding, and response validation.
• Experience using Git and standard software-development practices such as code reviews, testing, and version control.
• Strong analytical, troubleshooting, documentation, and communication skills.

Nice-to-Have Skills:

• Experience integrating Ardoq with ServiceNow CMDB, Azure DevOps, Jira, GitHub, SharePoint, Azure, or AWS.
• Knowledge of PostgreSQL, SQL, data modelling, and database integration.
• Experience with Application Portfolio Management and Technology Portfolio Management.
• Experience with Docker, Kubernetes, AKS, and cloud-native application deployment.
• Familiarity with CI/CD pipelines using Azure DevOps or GitHub Actions.
• Experience with Postman, Swagger, OpenAPI, Power BI, and API-management platforms.
• Exposure to technical debt assessment, technology risk, lifecycle tracking, and application rationalization.
• Familiarity with Ardoq ShiftX and business process modelling.

Education:

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline. Equivalent relevant experience may also be considered.

Certifications(Added Advantage):

• Ardoq Academy or Ardoq Partner certification
• Microsoft Azure AI Engineer Associate

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