Automation Architect

About Us:

Qualitest is the world’s leading managed services provider of AI-led quality engineering solutions. It helps brands transition through the digital assurance journey and make the move from conventional functional testing to adopt innovations such as automation, AI, blockchain, and XR.

Qualitest’s core mission is to mitigate business risks associated with digital adoption. It fulfills this through customized quality engineering solutions that leverage Qualitest’s deep, industry-specific knowledge for various sectors, including technology, telecommunications, finance, healthcare, media, utilities, retail, manufacturing, and defense. These scalable solutions protect brands through end-to-end value demonstration with a focus on customer experience and release velocity.

Qualitest has offices in the United States, United Kingdom, Germany, Israel, Romania, India, Mexico, Portugal, Switzerland, and Argentina. It employs more than 7,000 engineers who serve over 400 customers worldwide

Role Overview:

We are seeking a dynamic and experienced leader for our Automation CoE driving growth in Quality Engineering, Automation & QE for AI areas. This role combines strategic leadership, deep technical expertise, and a focus on building market differentiators. Role will be responsible for establishing and scaling the Data Engineering practice, driving the development of innovative capabilities, and contributing to high-impact client engagements, strategic proposals, and business growth initiatives.

Key Responsibilities:

•Drive the growth of the Automation & QE Center of Excellence (CoE) by developing capabilities and differentiators across UI, API & Mobile Automation.

•Must be hands-on with in leveraging AI for QE and No code & low code solutions.

•Scale the Quality Engineering practice by setting foundational standards, hiring top talent, and building NextGen data solutions, methodologies, and frameworks.

•Act as a trusted advisor to client and internal executives, shaping data roadmaps, governance frameworks, and modernization strategies aligned with business goals.

•Lead/guide to large-scale delivery programs, providing technical and strategic guidance to cross-functional teams to ensure on-time, high-quality outcomes.

•Support business growth through active participation in opportunity development, RFP responses, solutioning, and client presentations.

•Develop and position differentiated solutions and accelerators to enhance delivery efficiency and strengthen go-to-market offerings.

•Enable and upskill account and delivery teams through structured enablement sessions, training programs, and knowledge-sharing initiatives.

•Drive thought leadership and innovation by authoring whitepapers, conducting webinars, and representing the organization at global industry forums.

Skills & Experience Required:

•18+ years of overall IT experience, with a minimum of 13+ years dedicated to quality engineering & automation, or transformation leadership in global consulting, IT services, or service integration environments, with multi-vertical exposure preferred

•Strong hands-on experience in in designing and implementing developing framework from the scratch, re-engineer the existing framework, improve the automation efficiency and accelerate the same through technology.

•Must be strong in UI, API, Mobile automation frameworks, AI for Quality engineering and QE for AI areas.

•Must have through understanding and experience in Cloud assurance.

•Proven ability to lead & deliver large-scale global Quality Engineering transformation programs, mentor cross-functional teams, and influence key stakeholders to align on new initiatives & strategies

•Strong hands- on experience in developing Agentic AI solutions or Multi Agent systems with agent orchestration.

•Strong understanding of Application Architecture and drive the automation solution in line with the same.

•Strong knowledge over various Cloud platform and tools such as AWS, Azure, GC and OCI

•Must have delivered at least one large cloud migration automation in the past.

•Should have knowledge on other testing offering such as vision testing, accessibility, security testing, observability, Database testing and ETL

•Ability to build and scale Quality engineering practices, develop reusable frameworks, accelerators, and differentiated solutions for clients

•Strong leadership, communication, and stakeholder management skills

Preferred Qualifications:

•Bachelor’s or master’s degree in computer science, quality Engineering, or related fields.

Must Have Skills

1. Must be strong in UI, API, Mobile automation frameworks, AI for Quality engineering and QE for AI areas.

2. Proven ability to lead & deliver large-scale global Quality Engineering transformation programs, mentor cross-functional teams, and influence key stakeholders to align on new initiatives & strategies

3. Strong hands- on experience in developing Agentic AI solutions or Multi Agent systems with agent orchestration.

Work Location - Bangalore OR Chennai OR Hyderabad OR Noida