Perficient · 2 days ago
QA AI Technical Professional
United States
Full-time
Remote
Senior Level, Lead/Staff
$92K/yr - $203K/yr
15+ years expPerficient is a global AI-first consultancy seeking a QA AI Technical Professional to define, build, and scale AI-enabled QA capabilities. This role requires a blend of deep QA and AI/ML knowledge to shape AI QA strategy, design technical solutions, and support sales and delivery efforts.
ConsultingInformation TechnologyInternetMarketing
Responsibilities
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
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
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
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
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
Act as a trusted advisor to QA Practice Leaders, engagement leaders, and client stakeholders on the strategic adoption of AI in QA
Collaborate closely with QA SMEs across all testing domains to ensure solutions are practical, scalable, and aligned to real delivery needs
Lead structured, rational conversations with stakeholders—clarifying goals, constraints, risks, and expected outcomes of AI initiatives
Qualification
Required
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field; advanced degree or relevant certifications in AI/ML, cloud, or QA (ISTQB, etc.) are a plus
15+ years of experience in QA/Testing, including significant experience in test automation and modern QA practices (Agile, DevOps, CI/CD)
Hands‑on experience with AI/ML and/or GenAI applied to software quality (e.g., test generation, code analysis, defect clustering, NLP‑based testing, LLM‑based assistants)
Strong understanding of QA tools and ecosystems, plus familiarity with AI platforms and services (cloud AI services, LLMs, ML frameworks)
Expert at diagnosing business needs, engineering AI strategies, and selling vision to executive leadership
Demonstrated consulting mindset: able to structure problems, perform market/technical analysis, synthesize insights, and present clear recommendations
Proven ability to design technical solutions and reference architectures that integrate AI into QA pipelines and toolchains
Experience supporting pre‑sales and delivery: proposals, estimations, PoCs, demos, and executive presentations
Excellent communication and presentation skills, especially with new prospects and senior/executive stakeholders
Strong collaboration skills; comfortable working with Practice Leaders, architects, SMEs, sales, marketing, and partners
Analytical, data driven‑ approach with attention to detail and a focus on measurable outcomes and ROI
High level of English written and verbal communication skills
Company
Perficient
Perficient is an IT consulting firm that helps companies adapt their systems to third party software products that use internet.
5001-10000 employees
H1B Sponsorship
Perficient has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (154)
2024 (147)
2023 (156)
2022 (196)
2021 (175)
2020 (223)
Funding
Current Stage
Public CompanyTotal Funding
$65.3M2024-05-05Acquired
2024-01-17Post Ipo Equity· $4.44M
2022-10-17Post Ipo Equity· $5.18M
Leadership Team
Ed Hofffman
Senior Vice President, North America Business Operations
Hari Madamalla
Vice President
Recent News
2025-11-10
Dallas Innovates
2025-10-11
Company data provided by crunchbase