EY - GDS Consulting - AIA - Gen AI - Senior Manager

Career Family: AIA Gen AI Senior Solution Architect

Role Rank: Senior Manager

Your key responsibilities

• AI Strategy Solution Design
• Lead the development and implementation of AI enabled automation solutions, ensuring alignment with business objectives and client requirements.
• Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the business value of GenAI and Agentic AI applications.
• Challenge the status quo by recommending modern AI architectures, agentic patterns, retrieval strategies, and cloud - native designs that drive innovation.
• Collaborate with cross - functional teams including architects, data engineers, and product owners to translate business requirements into scalable AI solutions.

• GenAI Agentic AI Development
• Architect and build production - grade applications using Large Language Models (GPT, Claude, LLaMA, Gemini), including prompt engineering, fine - tuning, and evaluation.
• Design and implement Retrieval - Augmented Generation (RAG) pipelines using Vector Databases, Knowledge Graphs, and hybrid retrieval strategies.
• Build multi - agent orchestration systems using frameworks such as LangGraph, AutoGen, CrewAI, or LlamaIndex, with memory management and tool integrations.
• Develop robust API layers, integration services, and data pipelines to connect AI capabilities with enterprise systems.
• Apply strong analytical thinking, structured problem - solving, and clear technical communication in solution design.

• MLOps, Cloud Observability
• Implement MLOps practices and tools CI/CD for ML, containerization (Docker, Kubernetes), model versioning, and reproducibility to ensure reliable AI deployments.
• Deploy and manage AI workloads on cloud platforms (Azure, AWS, GCP), leveraging services such as Azure OpenAI, Azure AI Search, SageMaker, or Vertex AI.
• Build observability into AI systems monitoring latency, model drift, token usage, performance metrics, and guardrails for responsible AI.
• Ensure seamless integration of optimized solutions into the overall product or system architecture.

• Team Leadership Collaboration
• Mentor and guide team members on AI/ML best practices, emerging GenAI technologies, and engineering standards through design discussions, code reviews, and knowledge sharing.
• Keep the team updated on the latest advancements in GenAI, Agentic AI, and related technologies to bring innovative solutions to engagements.
• Support all phases of delivery including sprints, testing cycles, deployments, and hypercare, ensuring timely delivery under tight timelines.
• Present solutions, architecture decisions, and results to both technical and business stakeholders with strong written and verbal communication.

Required Skills

• 14+ years of relevant professional experience with a strong foundation in AI/ML, with at least 2 3 years focused on GenAI and LLM - based solution development.
• Expertise in:
• Core AI/ML: Python, PyTorch, TensorFlow, Hugging Face Transformers, ML algorithms, feature engineering, model evaluation
• Deep Learning NLP: Neural Networks, RNNs, CNNs, LSTMs, Transformer architectures (BERT)

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