CrawlJobs Logo
Soliton Logo Soliton · IT - Software Development

Quality Engineer – AI & Data Platforms

India, Bangalore · Job Posted January 15, 2026
Apply Position
Job Link Share

Job Description

The role is responsible for planning, executing, and automating functionality, integration, regression, and performance testing for AI-enabled and enterprise systems. It involves validating AI workflows, managing defects, ensuring UI/UX consistency, and enforcing AI governance and compliance standards while working closely with engineering, AI, and DevOps teams.

Job Responsibility

  • Develop and execute comprehensive test plans and test cases aligned with CX Reimagination objectives
  • Define and validate acceptance criteria for AI-driven workflows and multi-agent systems
  • Validate core application features and integrations with enterprise data sources
  • Perform end-to-end, integration, and regression testing to ensure system stability after enhancements and releases
  • Design, develop, and maintain automated test scripts using tools such as Selenium and Pytest
  • Conduct performance and load testing for Kubernetes-based deployments, including AKS and OpenShift environments
  • Identify, document, prioritize, and track defects using tools like Jira or Azure DevOps
  • Collaborate closely with AI engineers, developers, and DevOps teams to ensure timely defect resolution
  • Validate usability, consistency, and intuitiveness of UI/UX for internal and external users, coordinating with relevant teams where applicable
  • Validate compliance with AI governance policies, including fairness, transparency, and data privacy

Requirements

  • Strong experience in both manual and automated testing methodologies
  • Hands-on experience with test automation tools such as Selenium and Pytest
  • Experience in testing APIs, backend services, and enterprise system integrations
  • Familiarity with cloud-native environments, including Kubernetes, AKS, and OpenShift
  • Solid understanding of defect lifecycle management using tools such as Jira or Azure DevOps
  • Ability to work effectively within cross-functional Agile teams
  • Bachelor's or master's degree in computer science, Engineering, or a related field
  • 2-5 years of experience in software quality assurance or testing roles
  • Minimum 1 year of experience in automation tools such as Selenium and Pytest
  • Experience testing complex, distributed, or AI-enabled systems
  • Strong analytical, problem-solving, and communication skills

Nice to have

  • Experience in testing AI/ML models, workflows, or multi-agent systems
  • Knowledge of performance testing tools such as JMeter or Locust
  • Exposure to CI/CD pipelines and DevOps practices
  • Understanding AI governance, ethical AI principles, and compliance frameworks
  • Experience working on enterprise-scale or customer-facing applications

What we offer

  • Flexible work hours
  • Special support for mothers
  • Profit sharing starting from the second year
  • Health insurance for employees and families
  • Gym and cycle allowance
Soliton - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Quality Engineer – AI & Data Platforms

8 matching positions

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...
Location
Location
India , Chennai, Madurai, Coimbatore
Salary
Salary:
Not provided
optisolbusiness.com Logo
OptiSol Business Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
  • Excellent Python programming skills with data engineering libraries and frameworks
  • Advanced SQL capabilities including window functions, CTEs, and performance tuning
  • Solid understanding of distributed processing using Spark/PySpark
  • Experience designing and implementing scalable ETL/ELT workflows
  • Good understanding of data modeling concepts (dimensional, star, snowflake)
  • Familiarity with GenAI/LLM-based integration for data workflows
  • Experience working with Git, CI/CD, and Agile delivery frameworks
  • Strong communication skills for interacting with clients, stakeholders, and internal teams
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
  • Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
  • Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
  • Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
  • Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
  • Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
  • Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
  • Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations
What we offer
What we offer
  • Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
  • Hands-on exposure to modern data stacks and emerging AI technologies
  • Collaboration with experts across Data, AI/ML, and cloud practices
  • Access to structured learning, certifications, and leadership mentoring
  • Competitive compensation with fast-track career growth and visibility
  • Fulltime
Read More
Arrow Right

Senior QA Automation Engineer – Data & AI Platforms

We are looking for a Senior QA Automation Engineer with strong expertise in test...
Location
Location
Pakistan , Lahore; Karachi; Islamabad
Salary
Salary:
Not provided
northbaysolutions.com Logo
NorthBay
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in Software Quality Assurance and Test Automation
  • Strong expertise in Test Planning, Test Strategy, and Test Execution
  • Hands-on experience with Selenium, Pytest, and Python-based automation
  • Solid experience in API Testing (REST APIs, JSON, Postman / similar tools)
  • Proven experience integrating automation with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, etc.)
  • Experience testing Data platforms, ETL pipelines, and large-scale datasets
  • Exposure to AI/ML pipeline testing, including model validation and data quality checks
  • Strong understanding of SDLC, Agile/Scrum, and DevOps practices
  • Excellent analytical, debugging, and communication skills
Job Responsibility
Job Responsibility
  • Lead test planning, test strategy, and test execution for complex web, API, data, and AI/ML-driven systems
  • Design, develop, and maintain automation frameworks using Selenium and Pytest
  • Perform API testing (RESTful services) including functional, regression, and integration testing
  • Validate data pipelines, ETL workflows, and data quality checks across large datasets
  • Test AI/ML pipelines, including model validation, data drift, feature validation, and inference testing
  • Integrate automated test suites into CI/CD pipelines to enable continuous testing
  • Collaborate with DevOps teams to ensure quality gates in build and deployment pipelines
  • Perform root cause analysis and drive defect resolution with engineering teams
  • Ensure adherence to QA best practices, SDLC, and Agile methodologies
  • Mentor junior QA engineers and contribute to improving overall QA maturity
What we offer
What we offer
  • Work on cutting-edge Data and AI/ML platforms
  • Hybrid work model across Lahore, Karachi, and Islamabad
  • Opportunity to influence quality strategy at scale
  • Collaborative engineering culture with strong focus on automation and innovation
  • Fulltime
Read More
Arrow Right

Senior QA Automation Engineer – Data & AI Platforms

We are looking for a Senior QA Automation Engineer with strong expertise in test...
Location
Location
Pakistan , Lahore; Karachi; Islamabad
Salary
Salary:
Not provided
northbaysolutions.com Logo
NorthBay
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in Software Quality Assurance and Test Automation
  • Strong expertise in Test Planning, Test Strategy, and Test Execution
  • Hands-on experience with Selenium, Pytest, and Python-based automation
  • Solid experience in API Testing (REST APIs, JSON, Postman / similar tools)
  • Proven experience integrating automation with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, etc.)
  • Experience testing Data platforms, ETL pipelines, and large-scale datasets
  • Exposure to AI/ML pipeline testing, including model validation and data quality checks
  • Strong understanding of SDLC, Agile/Scrum, and DevOps practices
  • Excellent analytical, debugging, and communication skills
Job Responsibility
Job Responsibility
  • Lead test planning, test strategy, and test execution for complex web, API, data, and AI/ML-driven systems
  • Design, develop, and maintain automation frameworks using Selenium and Pytest
  • Perform API testing (RESTful services) including functional, regression, and integration testing
  • Validate data pipelines, ETL workflows, and data quality checks across large datasets
  • Test AI/ML pipelines, including model validation, data drift, feature validation, and inference testing
  • Integrate automated test suites into CI/CD pipelines to enable continuous testing
  • Collaborate with DevOps teams to ensure quality gates in build and deployment pipelines
  • Perform root cause analysis and drive defect resolution with engineering teams
  • Ensure adherence to QA best practices, SDLC, and Agile methodologies
  • Mentor junior QA engineers and contribute to improving overall QA maturity
What we offer
What we offer
  • Work on cutting-edge Data and AI/ML platforms
  • Hybrid work model across Lahore, Karachi, and Islamabad
  • Opportunity to influence quality strategy at scale
  • Collaborative engineering culture with strong focus on automation and innovation
  • Fulltime
Read More
Arrow Right

Senior QA Automation Engineer – Data & AI Platforms

We are looking for a Senior QA Automation Engineer with strong expertise in test...
Location
Location
Pakistan , Lahore; Karachi; Islamabad
Salary
Salary:
Not provided
northbaysolutions.com Logo
NorthBay
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in Software Quality Assurance and Test Automation
  • Strong expertise in Test Planning, Test Strategy, and Test Execution
  • Hands-on experience with Selenium, Pytest, and Python-based automation
  • Solid experience in API Testing (REST APIs, JSON, Postman / similar tools)
  • Proven experience integrating automation with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, etc.)
  • Experience testing Data platforms, ETL pipelines, and large-scale datasets
  • Exposure to AI/ML pipeline testing, including model validation and data quality checks
  • Strong understanding of SDLC, Agile/Scrum, and DevOps practices
  • Excellent analytical, debugging, and communication skills
Job Responsibility
Job Responsibility
  • Lead test planning, test strategy, and test execution for complex web, API, data, and AI/ML-driven systems
  • Design, develop, and maintain automation frameworks using Selenium and Pytest
  • Perform API testing (RESTful services) including functional, regression, and integration testing
  • Validate data pipelines, ETL workflows, and data quality checks across large datasets
  • Test AI/ML pipelines, including model validation, data drift, feature validation, and inference testing
  • Integrate automated test suites into CI/CD pipelines to enable continuous testing
  • Collaborate with DevOps teams to ensure quality gates in build and deployment pipelines
  • Perform root cause analysis and drive defect resolution with engineering teams
  • Ensure adherence to QA best practices, SDLC, and Agile methodologies
  • Mentor junior QA engineers and contribute to improving overall QA maturity
What we offer
What we offer
  • Work on cutting-edge Data and AI/ML platforms
  • Hybrid work model across Lahore, Karachi, and Islamabad
  • Opportunity to influence quality strategy at scale
  • Collaborative engineering culture with strong focus on automation and innovation
  • Fulltime
Read More
Arrow Right

Specialist, Data and AI - AI Platforms

The Specialist, Data & Analytics – AI Platforms acts as a technical steward with...
Location
Location
Canada , Toronto
Salary
Salary:
Not provided
aircanada.com Logo
Air Canada
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • University degree or technical certification in Engineering, Computer Science, Mathematics, Statistics, or other related technical fields
  • 5+ years of IT experience in large enterprise environments
  • Experience with technologies supporting AI/ML environments, including: Azure DevOps & GitHub, Azure Kubernetes Service, Databricks, Azure Machine Learning, Azure AI Foundry, Azure Data Factory, Azure Function Apps, Azure Storage Accounts, Key Vault, SQL Server Databases, Service Bus
  • Excellent communication skills (written and verbal)
  • Strong problem solving and analytical abilities
  • Proven capability to work effectively in team driven, collaborative environments
  • Demonstrate punctuality and dependability to support overall team success in a fast-paced environment
Job Responsibility
Job Responsibility
  • Integrate AI products, machine learning models, and data pipelines into enterprise systems, ensuring they are stable, scalable, and aligned with reference architecture
  • Configure and maintain connectivity between AI platforms (such as Databricks or Dataiku) and upstream/downstream systems
  • Support the onboarding of new AI products into shared platforms and contribute to continuous improvement of integration processes
  • Deploy, configure, and maintain AI workloads within Microsoft Azure, adhering to enterprise cloud standards
  • Manage compute, storage, networking, and other Azure resources needed for AI platforms
  • Contribute to environment governance by applying deployment patterns and enforcing development/test/production separation
  • Support infrastructure as code processes using approved templates and CI/CD pipelines
  • Implement and maintain CI/CD pipelines for models, inference services, and data workflows in accordance with defined MLOps standards
  • Support model packaging, deployment, versioning, rollbacks, and promotion across environments
  • Integrate monitoring, observability, and alerting tools into AI workloads to ensure operational health
Read More
Arrow Right

Forward Deployed Engineer - Data Migration & Data Consolidation Platforms

As a Forward Deployed Engineer (FDE) for Data Migration & Data Consolidation Pla...
Location
Location
United States
Salary
Salary:
Not provided
rackspace.com Logo
Rackspace
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7-10+ years of progressive experience in enterprise data engineering, data migration, or large-scale system integration roles within complex, multi-platform environments
  • 3-5+ years directly leading end-to-end data migration or multi-system consolidation programs for Global Enterprises and Industry Leaders, with full ownership of technical delivery and client outcomes
  • Demonstrated client-facing experience serving as a trusted technical advisor to C-level executives, enterprise architecture teams, and cross-functional business stakeholders
  • Proven industry depth in at least two of the following verticals: Healthcare, Financial Services, Manufacturing, Retail, Energy & Utilities, or Public Sector
  • Hands-on migration complexity: successfully delivered programs involving at least 3+ heterogeneous source systems, 100M+ records, complex master data harmonization, and multi-phase cutover execution
  • Advanced proficiency in Python and SQL with working experience in PySpark and TypeScript/JavaScript
  • Hands-on expertise with modern ETL/ELT and data integration platforms (Informatica, Talend, Matillion, Fivetran, AWS Glue, Azure Data Factory)
  • Proven ability to build scalable, version-controlled data pipelines with error handling, incremental loading, and Change Data Capture (CDC)
  • Strong working knowledge of at least one major cloud provider (AWS, Azure, or GCP), including core infrastructure, managed data services, and security configurations
  • Experience with enterprise data warehouse and lakehouse platforms (Snowflake, Databricks, BigQuery, Redshift, Synapse Analytics, Delta Lake)
Job Responsibility
Job Responsibility
  • Migration Execution & Cloud Architecture: Lead end-to-end delivery of enterprise data migrations from corporate systems (SAP, Oracle, Epic ERP) to target cloud data platforms, including the design of cloud landing zones, data governance frameworks, and system rationalization strategies. Establish migration compliance controls, automated rollback procedures, and operational readiness gates while owning full technical accountability for 12–18+ month migration roadmaps
  • Data Pipeline Engineering & Transformation: Build production-grade data connectors to SAP (RFC, IDoc, BAPI, OData), Oracle (AQ, GoldenGate, APIs), and SQL/non-relational sources. Develop ETL/ELT pipelines with LLM-enabled transformation logic, multi-layer validation and reconciliation frameworks, and optimized throughput for datasets scaling from tens of millions to billions of records with built-in CDC and incremental loading
  • Ontology Layer Development & Schema Automation: Construct semantic ontology layers translating raw ERP structures into business-consumable objects (Customer, Order, Invoice, Product, Vendor, Asset). Deploy automated schema mapping agents for source-to-target analysis and transformation logic generation. Build unified master data models with row/column-level security, cross-system lineage tracking, and AI-ready semantic structures
  • Application & Workflow Delivery: Build operational dashboards, migration control centers, and agent-driven workflows for automated validation, exception handling, and anomaly detection using low-code platform tools. Generate TypeScript/Python SDKs for custom integrations and deliver real-time monitoring and self-service interfaces for migration progress, data quality KPIs, and compliance tracking
  • Multi-System Consolidation & Master Data Management: Lead consolidation of 5–15+ fragmented ERP instances into standardized master data models. Resolve complex entity resolution challenges including customer matching, product harmonization, and chart of accounts unification. Establish golden record frameworks, data quality scorecards, survivorship rules, and data stewardship workflows for post-migration governance
  • Client Engagement, Discovery & Modernization Advisory: Serve as primary technical advisor to C-suite and enterprise architecture stakeholders across all engagement phases. Deploy discovery agents to analyze legacy data estates, conduct assessment workshops, facilitate solution design sessions, and deliver executive briefings, go/no-go readiness assessments, and prioritized modernization roadmaps
  • Knowledge Transfer, Enablement & IP Development: Build reusable migration accelerators, playbooks, and reference architectures that scale across engagements. Lead knowledge transfer to upskill client teams for post-migration ownership and collaborate with internal product and sales engineering teams to feed field insights back into platform development and delivery methodology
  • Leadership & Executive Engagement: Operate autonomously in ambiguous, high-stakes client environments, driving outcomes with minimal oversight
  • translate deeply technical concepts into clear, business-level narratives for C-suite audiences through executive briefings and stakeholder communications
  • navigate organizational complexity, competing stakeholder priorities, and enterprise change management dynamics to maintain momentum across multi-workstream engagements
Read More
Arrow Right

Ai / Generative Ai Engineer - Agentic Systems & Platforms

We are seeking an AI / Generative AI Engineer to design and build production‑gra...
Location
Location
India , Pune
Salary
Salary:
Not provided
vodafone.com Logo
Vodafone
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong Python and backend engineering expertise
  • Experienced in building and deploying LLM‑based applications, RAG systems, and agentic workflows
  • Comfortable working with orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel
  • Knowledgeable in data engineering concepts, including data pipelines and vector databases
  • Experienced with at least one major cloud platform (Azure, AWS, or GCP)
  • Familiar with containerisation and deployment using Docker and Kubernetes
  • Able to collaborate effectively in cross‑functional teams and communicate technical concepts clearly
  • Committed to secure, ethical, and responsible use of AI technologies
Job Responsibility
Job Responsibility
  • Build LLM‑based copilots and intelligent assistants for enterprise use cases
  • Design and implement Retrieval‑Augmented Generation (RAG) solutions using structured and unstructured data
  • Develop and orchestrate multi‑agent workflows using modern frameworks and orchestration logic
  • Create and maintain backend APIs using Python frameworks such as FastAPI or Flask
  • Integrate enterprise platforms and external APIs into scalable AI solutions
  • Build data pipelines for ingestion, transformation, and embedding workflows
  • Implement and manage vector databases, ensuring performance and reliability
  • Establish evaluation frameworks to assess LLM output quality and relevance
  • Implement observability practices including tracing, logging, and monitoring
  • Apply software engineering best practices including modular code design, testing, documentation, and CI/CD pipelines
What we offer
What we offer
  • Opportunities to work on cutting‑edge, enterprise‑scale AI systems
  • Exposure to complex, real‑world use cases with measurable business impact
  • A collaborative environment that supports continuous learning and growth
  • Competitive salary and access to Vodafone’s global career development ecosystem
  • Fulltime
Read More
Arrow Right

Ai / Generative Ai Engineer - Agentic Systems & Platforms

We are seeking an AI / Generative AI Engineer to design and build production‑gra...
Location
Location
India , Pune
Salary
Salary:
Not provided
vodafone.com Logo
Vodafone
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong Python and backend engineering expertise
  • Experienced in building and deploying LLM‑based applications, RAG systems, and agentic workflows
  • Comfortable working with orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel
  • Knowledgeable in data engineering concepts, including data pipelines and vector databases
  • Experienced with at least one major cloud platform (Azure, AWS, or GCP)
  • Familiar with containerisation and deployment using Docker and Kubernetes
  • Able to collaborate effectively in cross‑functional teams and communicate technical concepts clearly
  • Committed to secure, ethical, and responsible use of AI technologies
Job Responsibility
Job Responsibility
  • Build LLM‑based copilots and intelligent assistants for enterprise use cases
  • Design and implement Retrieval‑Augmented Generation (RAG) solutions using structured and unstructured data
  • Develop and orchestrate multi‑agent workflows using modern frameworks and orchestration logic
  • Create and maintain backend APIs using Python frameworks such as FastAPI or Flask
  • Integrate enterprise platforms and external APIs into scalable AI solutions
  • Build data pipelines for ingestion, transformation, and embedding workflows
  • Implement and manage vector databases, ensuring performance and reliability
  • Establish evaluation frameworks to assess LLM output quality and relevance
  • Implement observability practices including tracing, logging, and monitoring
  • Apply software engineering best practices including modular code design, testing, documentation, and CI/CD pipelines
What we offer
What we offer
  • Opportunities to work on cutting‑edge, enterprise‑scale AI systems
  • Exposure to complex, real‑world use cases with measurable business impact
  • A collaborative environment that supports continuous learning and growth
  • Competitive salary and access to Vodafone’s global career development ecosystem
Read More
Arrow Right