Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today.

Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Solution Architect-System Architecture Role Summary

This is an Engineering leadership role, responsible for system-level architecture and quality. The resource will own architectural decisions for their systems, solve ambiguous technical problems, and set the quality, testing, and security bar for the team. Key Responsibilities

Own system architecture and architectural decisions for the platform components they lead

Solve ambiguous technical problems, even when the underlying business problem is still being defined

Drive testing strategy and the overall quality bar across a team

Apply a deep understanding of architectures and scalability tradeoffs to guide system design

Ensure security is baked into architecture and code review standards, not bolted on afterward





Set code review standards and expectations for the team

Lead incident response, drive Corrections of Error (COEs), and design for failure (circuit breakers, graceful degradation, failure isolation)

Design production-grade GenAI systems, including evaluation frameworks, guardrails, and cost/latency tradeoffs

Communicate technical tradeoffs clearly to non-technical stakeholders and mentor engineers across the team

Balance technical debt against delivery speed, backed by transparent business reasoning Qualifications

Strong software engineering experience, including system-level design ownership

Demonstrated experience architecting and scaling platform services, APIs, or infrastructure

Strong track record of leading incident response and driving root-cause analysis (COEs)

Experience setting testing, security, and code review standards for a team

Experience designing or productionizing GenAI/LLM-based systems, including evaluation and safety guardrails

Excellent communication skills, with the ability to translate technical tradeoffs for non-technical stakeholders

Demonstrated mentorship of other engineers About the Platform Team The Engineering Experts on the AI Maestro platform team build shared services, APIs, and infrastructure that other teams use to build customer-facing products. Because the platform layer is a critical dependency, a defect or design flaw here propagates into every product built on top of it. This is why the team holds itself to a high-quality bar — and why that bar starts with the people it hires.





Foundational Competencies The job descriptions below describe how these competencies scale in scope and ownership at each level.

Code Quality & Design — clean, readable, maintainable, secure, well-tested code; strong grasp of data structures, algorithms, and OOP principles

Problem Solving & Fundamentals — strong debugging skills and the ability to break ambiguous problems into solvable pieces

Testing & Quality Assurance — writing and maintaining automated tests, and understanding test-driven development

System & Architecture Awareness — familiarity with design patterns, architecture patterns, databases, cloud fundamentals, caching, and scalability tradeoffs

Operational Excellence — observability, alerting/dashboards, deployment strategies, and safe-release practices (rollback, feature flags)

Generative AI Application Skills — understanding of LLM fundamentals, prompting techniques, RAG, and agentic/tool-use workflows

Soft Skills — clear communication, strong documentation habits, effort estimation, continuous learning, and cross-functional collaboration Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

📌 Solutions Architect-System Architecture (Bengaluru)
🏢 Genpact
📍 Bengaluru