Designs and deploys AI-enabled platform capabilities, integrating LLMs, prompt engineering, RAG, embeddings, and intelligent workflows. Builds AI evaluation and validation frameworks alongside scalable QA automation for APIs, microservices, distributed systems, and platform services. Integrates automated testing into CI/CD pipelines, validates reliability and performance, and collaborates with engineering, product, data, and platform teams. Provides technical leadership on AI engineering, automation, and quality standards.
For nearly 40 years, PDI has helped convenience retailers and petroleum wholesalers adapt to changes in the industry by leveraging the latest technologies. Simplifying the complexity in your world is our main focus. That's why we're delivering an integrated portfolio of global, cloud based solutions and services to meet our customers needs today and well into the future. From the back office to fuel logistics, and the latest wave of consumer demands and digital commerce, PDI solutions and services are designed to give you a competitive edge. Our deep domain knowledge is backed by our industry-specific software offerings and a people-first approach. Serving the entire supply chain means that we’ve had to solve a wide range of industry challenges and deliver measurable value. To address the increasingly dynamic convenience retail and petroleum wholesale industry, PDI leads the way with converged digital, cloud-optimized, secure, and scalable solutions including ERP, Loyalty, Fuel Pricing, Point-of-Sale and Logistics to create a broader industry ecosystem. The result is unparalleled insights, simplified operations, and higher profitability for your employees and business. We’re dedicated to helping our more than 1,500 customers in over 50 countries, providing solutions and services to over 200,000 sites.
Job Responsibilities:
- AI Platform Architecture & Implementation: Design, build, and deploy intelligent AI-driven platform capabilities that enable automation, intelligent insights, and advanced decision-making across distributed services and data systems.
- Product Innovation: Drive the development of next-generation AI-enabled platform features that enhance operational efficiency, enable intelligent automation, and deliver scalable, high-performance digital experiences.
- Generative AI Integration: Seamlessly integrate generative AI capabilities into platform services, including prompt engineering, Retrieval-Augmented Generation (RAG), intelligent workflows, and contextual reasoning systems.
- Intelligent System Leverage: Utilize Large Language Models (LLMs), embeddings, and vector-based retrieval systems to build intelligent, context-aware solutions that enhance platform capabilities and automation.
- AI Quality & Evaluation: Develop frameworks and methodologies for validating AI system performance, including response accuracy, model reliability, safety evaluation, and output consistency.
- AI Testing & Validation: Design and implement automated validation strategies to ensure reliability and correctness of AI-driven features, including automated test generation, model evaluation, and workflow validation.
- QA Automation Engineering: Develop and maintain scalable automation frameworks for validating platform services, APIs, and AI-enabled capabilities using modern testing tools and frameworks.
- API & Integration Testing: Build automated test suites to validate API functionality, service integrations, and distributed system interactions to ensure reliability and performance.
- Continuous Testing & CI/CD Integration: Integrate automated testing into CI/CD pipelines to enable continuous testing, faster feedback loops, and high-quality releases.
- Cross-Functional Collaboration: Work closely with engineering, product, data, and platform teams to translate complex requirements into scalable AI-enabled solutions while maintaining high-quality engineering standards.
- Technical Leadership: Provide guidance on AI engineering practices, automation strategies, and quality engineering standards to support platform reliability and intelligent system development.
- Mission Alignment: Contribute to building innovative, reliable, and ethically developed AI-powered systems that improve automation, developer productivity, and data-driven decision-making.
Qualifications:
- Experience: 8+ years of experience in software engineering, quality engineering, or platform engineering, including experience building automation frameworks and AI-enabled systems.
- Generative AI & LLM Integration: Hands-on experience integrating Large Language Models (LLMs) into applications, including prompt engineering, RAG architectures, AI workflow orchestration, and intelligent automation systems.
- Automation Engineering Expertise: Strong experience designing and implementing test automation frameworks using tools such as Playwright, Selenium, Cypress, TestNG, JUnit, or similar technologies.
- API Testing & Integration: Experience building automated tests for RESTful APIs and microservices using tools such as Postman, REST Assured, or similar frameworks.
- Programming Proficiency: Strong programming skills in at least two of the following languages: Python, Java, JavaScript, or C#.
- Cloud Platform Experience: Experience building and deploying applications on major cloud platforms such as AWS, GCP, or Azure, including containerized environments and CI/CD pipelines.
- Data & AI Technologies: Familiarity with vector databases, embeddings, AI model evaluation techniques, and data pipelines that support intelligent applications.
- System Reliability & Quality: Experience ensuring system reliability through automated testing, continuous integration, performance validation, and platform monitoring.
- DevOps & CI/CD: Experience integrating automated testing and validation frameworks within CI/CD pipelines for scalable platform delivery.
- Soft Skills: Strong communication and collaboration skills with the ability to work across engineering, product, and platform teams to deliver intelligent, production-ready solutions.
Behavioral Competencies:
- Cultivates Innovation
- Decision Quality
- Manages Complexity
- Drives Results
- Business Insight
PDI is committed to offering a well-rounded benefits program, designed to support and care for you, and your family throughout your life and career. This includes a competitive salary, market-competitive benefits, and a quarterly perks program. We encourage a good work-life balance with ample time off [time away] and, where appropriate, hybrid working arrangements. Employees have access to continuous learning, professional certifications, and leadership development opportunities. Our global culture fosters diversity, inclusion, and values authenticity, trust, curiosity, and diversity of thought, ensuring a supportive environment for all.
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Manage enterprise customer accounts as a trusted technical advisor, driving platform adoption, measurable business value, and technical ROI. Develop success plans, troubleshoot complex hardware, software, and API issues, manage escalations, conduct root-cause analysis, and lead technical reviews. Collaborate with Sales, Support, Product, and Engineering while communicating effectively with technical and executive stakeholders. Use AI tools to improve customer insights and outcomes, and contribute to knowledge sharing and team development.
Top Skills:
AIAPIsGainsightGongInternet Of Things (Iot)JIRAPaasPythonSaaSSalesforceTableauZendesk
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Tests liquidity risk and regulatory reporting releases across PRA, EBA, HKMA, and US Federal Reserve requirements. Responsibilities include SQL-based data validation, test strategy and execution, defect management, UAT dashboards, requirements gathering, data-gap analysis, issue resolution, and stakeholder communication. The role also supports finance data quality initiatives, regulatory compliance, operating-model transitions, change implementation, and coordination across Finance, Risk, Business, and IT teams.
Top Skills:
ExcelMicrosoft PowerpointMicrosoft ProjectMicrosoft VisioMicrosoft WordQuality CentreSQL
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads global logistics data governance, accuracy, stewardship, and data quality initiatives. Manages Data Operations analysts, develops data strategy and quality metrics, validates data models, and supports planning and analytics. Partners with digital, supply chain, manufacturing, finance, logistics, and external freight-forwarding teams in a global matrix. Oversees recruitment, coaching, change adoption, project alignment, IMEX standards, and continuous improvement across transactional, planning, and master data.
Top Skills:
Business Intelligence ToolsDatabase ManagementDataikuETLPower BIPythonRelational DatabasesSQLTableau
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
