Technical Solution Leader
- Test Automation, Architect India / Hybrid Role Summary The Senior Manager / Technical Solution Leader
- Test Automation, AI s will support and lead client-facing solutioning, technical architecture, presales contributions and AI-led test engineering transformation initiatives for Medical Devices and Life Sciences clients. The role is designed for a hands-on automation leader who can contribute directly to automation strategy, framework design, estimation, proof-of-concepts, technical deep-dives, reusable accelerators, proposal content and delivery readiness. The individual will partner with account teams, delivery leaders, quality teams, regulatory-aware engineering SMEs and AI specialists to shape differentiated solutions across V&V;, test automation, quality engineering, digital engineering and AI-assisted product validation.

Key Responsibilities
Test Automation Solutioning & Presales Support
• Lead or contribute to solutioning for Medical Devices V&V;, software testing, systems testing, regression automation, quality engineering and sustaining engineering opportunities.
• Support RFPs, RFIs, capability presentations, proactive proposals, technical solution narratives, estimation models, assumptions, delivery models and staffing inputs.
• Partner with account and delivery teams to convert customer testing challenges into automation strategy, target-state architecture, roadmap, MVP plan and measurable outcomes.
• Participate in client discovery discussions, automation assessment workshops, framework reviews, estimation reviews, pursuit governance and delivery handover sessions.
• Create reusable proposal content, test automation reference architectures, framework diagrams, accelerator descriptions, case-study narratives and demo scripts. Hands-on Automation Architecture & Engineering Leadership
• Provide practical architecture guidance for test automation frameworks across UI, API, integration, data, regression, smoke, performance and continuous testing contexts.
• Contribute hands-on to prototypes, proof-of-concepts, framework selection, test data strategy, CI/CD integration patterns, reporting models and automation feasibility validation.
• Guide teams on maintainable automation design, modularity, reliability, scalability, traceability, reusability, observability and execution efficiency.
• Review automation assumptions, technical risks, dependencies, tool fitment, infrastructure needs and delivery readiness before proposal submission and project transition.
• Mentor technical leads and engineers in automation design, code-quality mindset, test engineering discipline, documentation and estimation rigor. AI-Led Testing & Medical Devices V&V; Transformation
• Identify GenAI and AI use cases across requirements analysis, test design, script generation, test data creation, defect triage, impact analysis,



regression optimization, documentation and quality analytics.
• Shape AI-enabled testing solutions using LLMs, RAG, AI agents, workflow automation, intelligent analytics and AI-assisted SDLC approaches.
• Collaborate with AI CoEs and engineering teams to build demos, POCs, accelerators, adoption roadmaps and business cases for AI-enabled test engineering transformation.
• Embed responsible AI considerations such as data privacy, traceability, validation strategy, explainability, auditability, governance and human-in-the-loop reviews for regulated contexts.
• Quantify AI value through productivity improvement, test-cycle reduction, defect prevention, faster regression, knowledge reuse, documentation acceleration and compliance-readiness narratives. Medical Devices Quality, V&V; & Regulated Engineering Solutioning
• Support medical-device solutioning across product development, verification, validation, release, maintenance, sustenance and post-market quality phases.
• Bring regulated-domain awareness into automation solutions through traceability, risk-based testing, evidence generation, documentation discipline and audit-ready practices.
• Collaborate with software, systems, embedded, cloud, data, cybersecurity, quality and regulatory SMEs to shape integrated test engineering solutions.
• Help build accelerators around requirements traceability, test management, defect analytics, automated evidence collection, release readiness dashboards and validation documentation.
• Contribute to pragmatic transformation roadmaps that balance innovation, compliance, reuse, cost, risk and delivery feasibility. Client Engagement & Delivery Readiness
• Prepare client-ready technical presentations, solution walkthroughs, business cases, demos, cost-benefit narratives and outcome-based proposal sections.
• Explain automation architecture, tooling options and technical trade-offs in a business-friendly manner for customer stakeholders and internal leadership.
• Capture customer needs, constraints, system context, regulatory expectations, success criteria, timeline assumptions, risks and dependencies during discovery workshops.
• Ensure proposed solutions are feasible, scalable, secure, maintainable and aligned with delivery maturity and regulated-domain expectations.
• Support transition from pursuit to delivery through clear documentation of scope, architecture, assumptions, estimates, risks, dependencies, acceptance criteria and success measures.



Core Skills Hands-on Test Automation AI-enabled Test Engineering Medical Devices / V&V; Solutioning & Client Focus
• Automation framework architecture
• UI, API and integration automation
• CI/CD and continuous testing awareness
• Test data, reporting and dashboards
• POC and prototype development
• Automation estimation and risk review
• GenAI use-case framing for testing
• LLMs, RAG and AI agents awareness
• AI-assisted test design and script generation
• Defect analytics and regression optimization
• Prompt engineering and Copilot-style adoption
• Responsible AI and human review
• Medical device V&V; lifecycle awareness
• Risk-based testing and traceability
• Quality engineering and validation evidence
• Requirements-to-test mapping
• Audit-ready documentation mindset
• Sustaining and release-readiness support
• RFP/RFI and proposal contribution
• Technical solution storytelling
• Client workshops and assessment support
• Value engineering and business-case inputs
• Pursuit governance and stakeholder coordination
• Delivery handover and success measures Preferred Experience
• Life Sciences, software testing, V&V;, quality engineering, test automation or regulated product engineering exposure.
• Experience contributing to automation assessments, solutioning, presales, customer workshops, proposal development, technical estimations or delivery-readiness activities.
• Hands-on experience with test automation frameworks, automation architecture, CI/CD integration, reporting, test management, defect management and toolchain modernization.
• Exposure to AI / GenAI, automation analytics, AI-assisted testing, test optimization, quality engineering transformation or digital engineering productivity initiatives.
• Ability to convert test engineering capability and delivery experience into clear client-ready value propositions and solution narratives.
• Experience collaborating with account, solution, delivery, quality, regulatory, software and AI specialist teams. Required Qualifications
• Bachelor's or Master's degree in Engineering, Computer Science, Technology, Biomedical Engineering or a related discipline.
• 14+ to 18years of experience in engineering services, test automation, software testing, quality engineering, medical devices, Life Sciences or related delivery / solutioning roles.
• Proven ability to support complex stakeholder discussions and contribute to technical solution design, proposal quality and delivery readiness.
• Solid written and verbal communication skills for executive-ready presentations, technical proposals, solution documentation and workshops.
• Working knowledge of quality-oriented engineering practices, regulated delivery expectations and customer-facing governance.

📌 Technical Solution Leader (India)
🏢 Capgemini Engineering
📍 India