Avp- Generative Ai

**_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._**
- Generative AI - Systems Architect**

**Role Overview**: We are looking for an experienced Systems Architect with extensive experience in designing and scaling Generative AI systems to production. This role requires an individual with deep expertise in system architecture, software engineering, data platforms, and AI infrastructure, who can bridge the gap between data science, engineering and business.**

**You will be responsible for end-to-end architecture of Gen.AI systems including model lifecycle management, inference, orchestration, pipelines**

**Key Responsibilities**:
**Define and oversee system architecture covering data ingestion, model training/fine-tuning, inferencing, and deployment pipelines.**

**Establish architectural tenets like modularity, scalability, reliability, observability, and maintainability.**

**Collaborate with data scientists, ML engineers, platform engineers, and product managers to align architecture with business and AI goals.**

**Choose and integrate foundation models (open source or proprietary) using APIs, model hubs, or fine-tuned versions.**

**Evaluate and design solutions based on architecture patterns such as Retrieval-Augmented Generation (RAG), Agentic AI, Multi-modal AI, and Federated Learning.**

**Design secure and compliant architecture for enterprise settings, including data governance, auditability, and access control.**

**Lead system design reviews and define non-functional requirements (NFRs), including latency, availability, throughput, and cost.**

**Work closely with**MLOps** teams to define the CI/CD processes for model and system updates.**

**Contribute to the creation of reference architectures, design templates, and reusable components.**

**Stay abreast of the latest advancements in**GenAI**, system design patterns, and AI platform tooling.**

**Qualifications we seek in you**

**Minimum Qualifications**

**Proven experience designing and implementing distributed systems, cloud-native architectures, and microservices.**

**Deep understanding of Generative AI architectures, including LLMs, diffusion models, prompt engineering, and model fine-tuning.**

**Strong experience with at least one cloud platform (AWS, GCP, or Azure) and services like SageMaker, Vertex AI, or Azure ML.**

**Experience with Agentic AI systems or orchestrating multiple LLM agents.**

**Experience with multimodal systems (e.g., combining image, text, video, and speech models).**

**Knowledge of semantic search, vector databases, and retrieval techniques in RAG.**

**Familiarity with Zero Trust architecture and advanced enterprise security practices.**

**Experience in building developer platforms/toolkits** for AI consumption.**

**Contributions to open-source AI system frameworks or thought leadership in**GenAI** architecture.**

**Hands-on experience with tools and frameworks like**LangChain**, Hugging Face, Ray, Kubeflow,**MLflow**, or Weaviate/FAISS.**

**Knowledge of data pipelines, ETL/ELT, and data lakes/warehouses (e.g., Snowflake,**BigQuery**, Delta Lake).**

**Solid grasp of DevOps and**MLOps** principles, including containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, and model monitoring.**

**Familiarity with system design tradeoffs in latency vs cost vs scale for**GenAI** workloads.**

**Preferred Qualifications**:
**Bachelor’s or Master’s** degree in computer science, Engineering, or related field.**

**Experience in software/system architecture, with experience in**GenAI**/AI/ML.**

**Proven experience designing and implementing distributed systems, cloud-native architectures, and microservices.**

**Strong interpersonal and communication skills; ability to collaborate and present to technical and executive stakeholders.**

**Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, Google Cloud Professional Data Engineer).**

**Familiarity with data governance and security best practices.**

**_ Why join Genpact?_**

**_ Be a transformation leader_**_ - Work at the cutting edge of AI, automation, and digital innovation_**

**_ Make an impact_**_ - Drive change for global enterprises and solve business challenges that matter_**

**_ Accelerate your career_**_ - Get hands-on experience, ment