AIML Fullstack Architect

Genpact Position: TBD Function: AI/ML Practice India

Open for all Genpact Locations

We are a global professional services firm that makes business transformation real. We drive digital-led innovation and digitally enabled intelligent operations for our clients, guided by our experience running thousands of processes for hundreds of Global Fortune 500 companies. From New York to New Delhi and more than 20 countries in between, Genpact has the end-toend expertise to connect every dot, reimagine every process, and reinvent companies’ ways of working. Our focus is to make sure we have the right set of people delivering what we promise. People who think with design, dream in digital, and solve problems with data and analytics. People who obsess over operations, focus on the details, and lead change by being curious, incisive and courageous in everything they do—on a foundation of unyielding integrity.

Come, be a part of our exciting journey

Inviting applications for the role of AIML Fullstack l Architect – AI/ML Practice.

The candidate should be:

• Bachelor’s/ Master’s degree (preferred) in Computer Science, Engineering, or a relevant field.

• Relevant architecture certifications, such as AWS Certified Solutions Architect, AWS Certified Machine Learning – Specialty, Google Cloud Professional Cloud Architect, Google Cloud Professional Machine Learning Engineer or Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Azure Machine Learning.

Roles and Responsibilities

1. In-depth creating modular, maintainable, and extensible designs that support the development of scalable, secure, and efficient software systems.

2. Proven experience as a Technical Architect or a similar role, with a strong background in software development, system design, and architecture.

3. Understanding of LLM based applications on Azure/AWS and RAG (Retrieval Augmented Generation) and OpenAI.

4. Excellent knowledge of software architecture principles, design patterns, and best practices.

5. Strong understanding of various programming languages, frameworks, and technologies, such as Java, Python, Node.js, Angular, React, etc.

6. Experience with cloud computing platforms, such as AWS, Azure, or Google Cloud Platform. [Type text] Sr. Technical Architect

7. Knowledge of microservices architecture and containerization technologies, such as Docker and Kubernetes, to enable efficient deployment and management of distributed applications.

8. Familiarity with database design and management, including SQL and NoSQL databases.

9. Familiarity with MLOps and LLMOps frameworks and workflows.

10. Strong analytical, problem-solving, and decision-making skills, with the ability to balance technical and business considerations.

11. Excellent communication and collaboration skills, with the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders.

12. Ability to work in a fast-paced, dynamic environment, and adapt to changing priorities and requirements.

13. Experience working in Agile environments, with familiarity in Scrum, Kanban, and other Agile frameworks. Skilled in applying Agile principles to distributed system design and development.

14. Knowledge of Agile and DevOps methodologies, tools, and practices is a plus.

Roles Skills

• Experience in full stack application development, with a focus on distributed systems, system design, and integration.

• Experience handling Machine Learning Workloads on either of Azure/AWS/GCP.

• Proven track record of designing and implementing complex distributed applications in various industries, such as finance, healthcare, or e-commerce.

• Experience working with cross-functional teams, including software developers, product managers, and infrastructure engineers