Senior Principal Consultant –Technical Architect

Ready to build the future with AI
At Genpact we dont just keep up with technologywe set the pace. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory our industry-first accelerator is an example of how were 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 innovation-driven environment love building and deploying cutting-edge AI solutions and want to push the boundaries of whats possible this is your moment.
Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading ourdeep business knowledge operational excellence and cutting-edge solutions we help companies across industries get ahead and stay by curiosity courage and innovationour teamsimplementdata technology and AItocreate tomorrow to know us onLinkedInXYouTube andFacebook.
Inviting applications for Senior Principal Consultant Technical Architect Role!
We are seeking a Senior Manager AI Technical Solution Architect to lead the design implementation and governance of AI and GenAI solutions. The role requires expertise in cloud architecture MLOps containerization LLM stacks and security with the ability to define high-level technical strategies and drive execution across complex AI projects. Our client is a global leader in the Industrial Automation and Electrical Equipment industry driving digital transformation through advanced analytics and AI-powered solutions. This role is part of a Generative AI (GenAI) initiative aimed at optimizing business processes enhancing decision-making and building scalable AI solutions across multiple business functions.
Responsibilities
Define and lead the architecture design for scalable AI and GenAI solutions across enterprise systems.
Implement cloud-native solutions leveraging AWS and Azure ensuring best practices for security scalability and performance.
Owns technical vision & delivery of reusable services.
Defines architecture for LLM access RAG pipelines and security wrappers.
Ensures APIs are standardized scalable and easy for chat apps to consume.
Acts as primary interface with other PODs and stakeholders.

Develop and enforce architecture design patterns and technical standards for AI/ML solutions.
Oversee MLOps pipelines including model deployment monitoring and lifecycle management.
Implement containerization strategies using Docker and Kubernetes for AI applications.
Collaborate with cross-functional teams to integrate LLM stacks and other AI models into enterprise workflows.
Ensure compliance with security standards DevOps practices and governance frameworks.
Mentor technical teams and guide the implementation of complex AI/GenAI projects.
Evaluate emerging technologies and propose innovative solutions to drive AI adoption.
Stay current with emerging AI/LLM technologies and assess their potential for business impact.
Stay updated with emerging GenAI LLM and NLP technologies to bring innovation into analytical solutions.
Qualifications we seek in you!
Minimum Qualifications
Expertise in Cloud Core platforms (AWS and Azure) for enterprise AI solutions
Strong knowledge of Architecture Design Patterns for scalable systems
Owns technical vision & delivery of reusable services.
Defines architecture for LLM access RAG pipelines and security wrappers.
Ensures APIs are standardized scalable and easy for chat apps to consume.
Acts as primary interface with other PODs and stakeholders.
Hands-on experience with MLOps and AI model deployment pipelines
Proficiency in Containerization using Docker and Kubernetes
Understanding of LLM stacks and GenAI integration
Knowledge of DevOps practices and security standards
Strong analytical problem-solving and solution design skills
Proficiency in Excel for data analysis and reporting
Bachelors or masters degree in computer science Engineering Data Science or related fields
Experience in AI/ML solution architecture cloud architecture or technical leadership
Proven experience in delivering end-to-end AI/GenAI solutions in enterprise environments
Strong leadership collaboration and communication skills to work with business and technical stakeholders

Preferred Qualifications/ Skills
Advanced experience with AWS Azure Terraform CloudFormation Pulumi
Hands-on experience with Python for AI/ML workflows
Knowledge of large-scale AI system deployments and cloud infrastructure automation
Why join Genpact
Lead AI-first transformation Build and scale AI solutions that redefine industries
Make an impact Drive change for global enterprises and solve business challenges that matter
Accelerate your careerGain hands-on experience world-class training mentorship and AI certifications to advance your skills
Grow with the best Learn from top engineers data scientists and AI experts in a dynamic fast-moving workplace
Committed to ethical AI Work in an environment where governance transparency and security are at the core of everything we build
Thrive in a values-driven culture Our courage curiosity and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the 140000 coders tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
Lets build tomorrow together.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race colour 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 respect and integrity customer focus and innovation.
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.