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TekWissen
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Delhi · Hybrid · 3-5 Yrs · Sep 28
1 views
2 open roles1 posted in 7d2 in 30d
Hiring: Engineering
Job description
Hybrid
Overview
Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world.
Responsibilities
- Define and validate AI-enabled testing strategies across the Software Testing Lifecycle (STLC).
- Design and implement AI model evaluation frameworks, including quality metrics, scoring mechanisms, acceptance thresholds, drift monitoring, and post-production validation.
- Build and lead technical POCs to assess AI testing approaches, tools, and frameworks across platforms such as Copilot Studio, Azure AI Foundry, Pega AI, and Snowflake Cortex AI.
- Evaluate and compare native platform capabilities, third-party tools, and open-source frameworks, providing evidence-based recommendations.
- Establish AI quality standards, evaluation criteria, and Definition of Done requirements for AI-enabled solutions.
- Develop and validate AI-assisted approaches for specification analysis, test generation, test data creation, coverage assessment, and regression optimization.
- Build POCs for AI-driven test design, automation, defect triage, root cause analysis, and quality engineering transformation initiatives.
- Validate non-functional and AI-specific testing practices, including performance, security, resilience, observability, and prompt injection testing.
- Document findings, reusable patterns, and recommendations to support AI testing strategy and adoption across delivery teams.
Qualifications
- Strong experience in Quality Engineering, Software Testing, and AI-enabled testing practices.
- Solid understanding of AI solution testing, model evaluation, prompt evaluation, output quality assessment, and AI risk validation.
- Experience defining evaluation metrics, scoring frameworks, quality thresholds, and monitoring approaches for AI solutions.
- Hands-on expertise in developing technical prototypes, POCs, test automation solutions, and engineering accelerators using Python or similar technologies.
- Knowledge of AI-assisted test generation, specification-driven testing, regression optimization, and test automation.
- Experience evaluating testing tools and frameworks and producing objective, evidence-based recommendations.
- Familiarity with Copilot Studio, Azure AI Foundry, Pega AI, Snowflake Cortex AI, or similar AI platforms is highly desirable.
- Understanding of APIs, integrations, automation frameworks, and modern software delivery practices.
- Knowledge of performance, security, resilience, observability, and AI-specific security risks such as prompt injection.
- Strong analytical, problem-solving, stakeholder management, and technical communication skills.
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Senior AI Engineer in Test at TekWissen?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. TekWissen may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior AI Engineer in Test role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior AI Engineer in Test remote or on-site in New Delhi, Delhi?
- This listing is marked hybrid with location New Delhi, Delhi. Confirm details on the job description before applying.
- What skills matter for this Senior AI Engineer in Test role at TekWissen?
- This is a senior Senior AI Engineer in Test role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.