QA AI Technical Professional

Job Description

Perficient is a global AI-first consultancy. Our team of strategists, designers, technologists, and engineers partners with the world's most innovative enterprises and admired brands to deliver real business results through the transformative power of AI. As part of our AI-First strategy, we empower every employee to build AI fluency and actively engage with AI tools to drive innovation and efficiency. We break boundaries, obsess over outcomes, and shape the future for our clients.

Join a company where bold ideas and brilliant minds converge to redefine what's possible - while building a career filled with growth, balance, and purpose.

The QA AI Technical Professional is a senior, hands-on leader focused on defining, building, and scaling AI-enabled QA capabilities across Perficient and key client accounts. This role combines deep QA and AI/ML knowledge with a strong consulting mindset to shape our AI QA strategy, design technical solutions, support sales and delivery, and drive market differentiation. The QA AI Technical Professional partners closely with QA Practice Leaders, QA SMEs (Functional, Automation, Performance, Mobile, Data/ETL, Accessibility, Security, etc.),

and account teams to research emerging AI technologies, build reusable assets and accelerators, and ensure successful adoption of AI in QA practices. This role is actively engaging with clients' programs.

Research, Market Analysis & Benchmarking

• Continuously scan the market for emerging AI/ML technologies, tools, and platforms relevant to QA (e.g., test generation, defect prediction, intelligent automation, code analysis, GenAI for QA).
• Conduct structured competitive analyses, proofs of concept (PoCs), and benchmark evaluations of AI powered QA tools and frameworks.
• Produce clear comparison reports and recommendations (technical, functional, cost, risk) to guide tool selection and strategy.
• Track industry trends, standards, and best practices to keep Perficient at the forefront of AI in QA.

AI QA Technical Solution Design

• Design end to-end AI-enabled QA solutions and reference architectures that integrate with clients' existing tools, pipelines, and platforms.
• Collaborate with QA SMEs to embed AI across different testing types: test case generation, test data, regression optimization, nonfunctional testing, risk-based-testing, etc.
• Define technical patterns, APIs, data pipelines, and integration models for using AI services and models (including GenAI, LLMs, and traditional ML) within QA workflows.

Sales, Pre-Sales & Delivery Support

• Establish standards and guardrails for responsible, secure, and compliant use of AI in QA.
• Support sales and account teams in qualifying and shaping AI QA opportunities with both existing clients and new prospects.
• Lead and/or contribute to solutioning, estimations, and RFP/RFI responses for AI enabled QA engagements.
• Create and deliver compelling, business-oriented presentations and demos that clearly articulate value, ROI, and differentiation of our AI QA capabilities.
• Provide expert guidance during delivery, supporting technical architects, QA leads, and development teams in implementing AI QA solutions and resolving complex technical issues.
• Understand business challenges, design strategic AI solutions, and pitch it effectively to C-suite clients.
• Identify high impact AI QA use cases across industries and technologies; prioritize those with strong business value and feasibility.
• Design and build reusable use cases, accelerators, and demo environments that can be leveraged across accounts and pursuits.
• Create technical and business friendly collateral (presentations, playbooks, one-pager, whitepapers, blogs, videos) to support marketing and sales campaigns.

Partnerships & Ecosystem Management

• Partner with Marketing and QA Practice Leaders to position Perficient as a thought leader in AI driven QA Approach.
• Manage and grow relationships with strategic AI and QA tool vendors, cloud providers, and platform partners.
• Evaluate and recommend partnership opportunities to enhance Perficient's AI QA offerings and go to market.
• Coordinate joint initiatives with partners (co-selling, co-marketing, webinars, pilots, training) and ensure alignment with QA practice strategy.
• Stay current with partner roadmaps and advocate for capabilities that support our clients' needs.

Talent Strategy & Community Development

• Help define the skills, roles, and competency model required for AI enabled QA (e.g., AI QA Engineer, AI Test Architect).
• Work with QA Practice Leaders to shape hiring profiles, training curricula, and certification paths related to AI in QA.
• Mentor QA engineers, leads, and architects on AI concepts, tools, and solution patterns; help upskill teams through workshops and internal enablement sessions.
• Foster an active internal community around AI QA, promoting knowledge sharing, experimentation, and reuse.

Consulting, Collaboration & Stakeholder Management

• Act as a trusted advisor to QA Practice Leaders, engagement…