Role: AI + Automation Consultant

Job Description:

Role Overview:

- The ?Test Automation + AI? Advisory Consultant is a senior consulting role responsible for conducting modernization assessments, defining standards & build solution across enterprise test automation and AI-augmented quality engineering initiatives.
- This role partners closely with client business, IT, and QE leadership to evaluate current-state capabilities, identify gaps, calculate maturity & build transformation roadmaps leveraging up-to-date automation tools. Including any AI enabled testing, and engineering best practices.
- Part of QE ?Advisory & Transformation Services? Team; Coforge

Key Responsibilities for the Consultant

Technical Assessments & Advisory in Quality Engineering

- Conduct comprehensive assessments of existing QA, automation, and AI-readiness maturity across applications, tools, environments, and engineering practices.
- Analyze current frameworks, automation pipelines, test coverage, technical debt, and infrastructure to identify improvement opportunities.
- Evaluate feasibility and ROI of AI-driven quality engineering solutions (e.g., autonomous test generation, NLP-driven tests, self-healing scripts).
- Develop assessment reports including findings, risks, gaps, maturity analysis, scoring matrices, and prioritized recommendations.
- Present assessment results to senior stakeholders with transformation roadmaps.

AI enabled Test Automation Strategy Development

- Define automation strategy including tool selection, architecture, coverage targets, and integration approaches.
- Design strategies to integrate AI/ML into test processes?test case generation, predictive analytics, anomaly detection, and test optimization.
- Identify use cases where generative AI can accelerate functional, regression, API, and performance testing. Establish standards & best practices
- Produce high-quality documentation including architecture diagrams,



SOPs, assessment findings, and framework artifacts.

Design Framework & Solution Architecture

- Architect scalable, modular, maintainable automation frameworks (UI/API/Mobile/Data) using modern tools and patterns.
- Define AI-enhanced components such as intelligent object recognition, self-healing locators, or model-based test generation.
- Support pilot implementations, proof-of-concepts (PoCs), and phased rollouts of automation and AI-enablement initiatives.

Consulting, Stakeholder Engagement & Governance

- Partner with business, product, and engineering leaders to define quality KPIs, automation goals, and operational governance models.
- Facilitate workshops to assess needs, clarify requirements, and drive technical decision-making.
- Guide teams on best practices for traceability, test design, and risk-based testing using AI-enhanced approaches.

Implementation Support & Delivery Transformation

- Mentor teams on architecture patterns, coding standards, automation frameworks, and AI-based testing accelerators.
- Oversee transition from legacy automation to next-gen AI-driven frameworks.
- Monitor execution progress, risks, ROI and dependencies while ensuring alignment with transformation goals.

Experience Required :

- 8-10 Years in Test Automation
- Expertise on working with multiple test frameworks across major automation tools in code pipeline as part of continuous testing
- Working experience in AI-augmented QE lifecycle activities; with custom / COTS platforms.
- Deep understanding of different test automation approaches / design patterns (keyword-driven, Data-driven, BDD, hybrid, Model based, Code-less, etc.)
- Expertise in multiple Automation tools & Coding languages
- Experience in Source Code Management tools, Code coverage tools, build management, containerization & cloud platforms
- Knowledge on latest QA & Test automation trends - AI capabilities and evolution of test automation capabilities

📌 Test Architect (Hyderabad)
🏢 Coforge
📍 Hyderabad