Position Responsibilities:
Deltek is seeking a skilled specialized Automation Engineer with expertise in testing and test automation of AI-powered workflows and intelligent features across ERP product lines. This role blends traditional ERP quality engineering with next-gen AI validation, ensuring that embedded AI capabilities are accurate, safe, compliant, explainable, and scalable.
The ideal candidate needs strong ERP domain knowledge, hands-on automation expertise, and understands how to evaluate LLM-driven responses, predictive analytics, recommendations, and AI decision support outputs. This role requires a detail-oriented individual who can work collaboratively with cross-functional teams to ensure the delivery of high-quality ERP solutions.
Responsibilities
- Develop end-to-end test strategy for AI features across ERP modules such as Finance, Supply Chain, Projects, HR, and Payroll
- Execute functional, regression, scenario-based, and exploratory testing for AI-enhanced workflows
- Validate AI/ML outputs including:
- Prediction accuracy & scoring
- Recommendation relevance
- Natural-language responses
- Behavior consistency across edge cases
- Create and maintain automation suites for UI/API and AI validations
- Design AI safety test cases → hallucination detection, bias testing, ethical and compliance alignment
- Collaborate with Product Managers, AI/ML engineers, SMEs, and Developers to define release quality gates
- Ensure test coverage of data pipelines: input validation, data sampling, transformations, and output visualizations
- Contribute to performance, scalability & data-drift testing of AI features in ERP contexts
- Maintain test documentation — test plans, test cases, defect logs, and sprint reports
- Drive automation adoption in CI/CD pipelines for AI-enabled releases
- Provide mentorship to senior engineers and teams, guiding best practices and fostering professional development.
Qualifications & Experience:
- BS/MS degree in Computer Science or a related field.
- 6+ years of proven experience in automation testing, with at least 2+ years working with AI or ML-based systems
- Proven track record of designing and implementing AI Based automation solutions.
- Expertise in multiple automation tools and frameworks, with a deep understanding of the latest technologies.
- Experience in developing and refining overall strategies for API testing.
- Proficiency in using version control systems like Git for managing code.
- Experience with cloud-based ERP solutions.
- Experience with performance and security testing.
- Strong debugging and analytical skills
Good-to-Have Skills
- Understanding of LLM fine-tuning, vector databases, RAG pipelines, embeddings
- Familiarity with data privacy & compliance frameworks
- Experience with security testing for AI systems
- Exposure to AIOps or self-healing automation frameworks
Technical Qualifications:
- In-depth understanding of modern QA methodologies, tools, and processes with a focus on AI-driven features and intelligent workflows.
- Strong understanding of API architectures including REST, SOAP, GraphQL, and WebSocket, along with experience validating AI-generated responses via APIs (e.g., LLM response endpoints, inference APIs).
- Hands-on experience with API testing tools such as Postman, SoapUI, JMeter, or REST Assured, including automated evaluation of AI output scoring / JSON inference payloads.
- Proficiency in one or more programming languages — Java, Python, or JavaScript — with the ability to build AI output validation utilities, automated prompt-testing harnesses, or data-driven frameworks.
- Knowledge of CI/CD pipelines (Jenkins, Azure DevOps, GitHub Actions) and automation integration for AI feature regression and model-response validation.
- Familiarity with LLM / ML concepts from a QA perspective — prompt testing, hallucination detection, prediction scoring, explainability validation, bias checks, guardrail/output sanitization.
- Strong SQL and database testing skills, including validation of training datasets, feature store data, and end-to-end AI data pipelines.
- Good understanding of Agile / Scrum development practices with experience participating in AI model release cycles (shadow mode, AB comparison, fine-tuning validation, or phased rollout).
Soft Skills:
- Excellent communication and collaboration skills.
- Ability to manage multiple tasks/projects concurrently.
- Strong interpersonal skills for working in a team-oriented environment.
- Excellent problem-solving skills and attention to detail.
- Ability to work independently and as part of a team in a fast-paced environment.
- Proactive and self-motivated with a strong desire for continuous learning and improvement.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Deltek
About
Project-based businesses transform the world we live in. Deltek innovates and delivers software and solutions that power them to achieve their purpose. Our industry-specific software and information solutions maximize our customers' performance at every stage of the project lifecycle by enabling superior levels of project intelligence, management and collaboration.
Deltek is the recognized global standard for project-based businesses across government contracting and professional services industries, helping more than 30,000 organizations of all sizes deliver on their mission.
With over 4,200 employees worldwide, our team of industry experts is passionately committed to creating exceptional customer experiences.
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