• Build and ship production-grade, automated validation frameworks, test harnesses, and evaluation pipelines across the AI lifecycle (design → deploy). • Design and evolve an AI testing platform integrated with Databricks and MLflow, enabling repeatable testing, traceability, and auditability. • Create large-scale, scenario-based test suites (hundreds to thousands of cases) to validate agentic workflows end-to-end, including edge cases, long-tail scenarios, and failure modes. • Validate orchestration behavior (tool use, memory, decision logic) and stress-test non-deterministic system behavior before production. • Embed quality by design: define system contracts, guardrails, and safe-degradation patterns at key boundaries. • Define measurable quality signals for LLM systems (grounding, hallucinations, relevance, latency, cost) and integrate them into CI/CD pipelines as automated quality gates. • Ensure AI validation runs automatically on model, prompt, and code changes—enabling continuous quality enforcement. • Build reusable libraries and components so teams can adopt consistent AI quality practices quickly. • Own aspects of AI release readiness, including defining go/no-go criteria based on measurable quality thresholds. • Partner with AI, platform, security, and delivery teams to translate mission needs into clear quality criteria, tradeoffs, and confidence levels.

• Proactively acquire new customers from mid-market and enterprise companies • Develop a go-to-market strategy for QA services • Identify market opportunities, target industries and decision-makers • Build a sustainable sales funnel through CRM, networking, events and social selling • Advise customers on suitable solutions, prepare proposals and conduct negotiations • Represent the company at trade shows and events • Monitor trends, competitors and markets to identify new business opportunities • Work closely with Business Development, Marketing/Communications and stakeholders

• Be the quality champion: plan, design, and run test cases for web and desktop applications. • Perform hands-on testing — functional, regression, integration — to make sure nothing slips through. • Drive and improve our QA strategy as we evolve our CI/CD pipeline. • Collaborate directly with developers to turn business requirements into testing requirements. • Spot issues early, drive resolutions, and elevate our testing standards. • Share your knowledge with the team and mentor others in QA best practices.

• Be the quality champion: plan, design, and run test cases for web and desktop applications. • Perform hands-on testing — functional, regression, integration — to make sure nothing slips through. • Drive and improve our QA strategy as we evolve our CI/CD pipeline. • Collaborate directly with developers to turn business requirements into testing requirements. • Spot issues early, drive resolutions, and elevate our testing standards. • Share your knowledge with the team and mentor others in QA best practices.