EY-GDS Consulting-AI And DATA- AI Architect-Senior Manager
Ernst and Young10 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Partner with C-suite and senior business leaders to identify AI-led transformation opportunities and measurable business value.
- Lead consultative selling, RFP/RFI responses, solution shaping, client presentations, and architecture workshops.
- Architect end-to-end AI, Generative AI, and Agentic AI solutions across Azure, AWS, and GCP.
- Design enterprise patterns for RAG, autonomous agents, LLMOps, scalable cloud-native deployments, and AI-ready data.
- Oversee project delivery, solution quality, architecture integrity, technical escalations, and implementation best practices.
- Review solution designs, code, and architectural artifacts while mentoring architects, AI engineers, and delivery teams.
- Develop prototypes, demos, accelerators, reference architectures, and industry-specific solution frameworks.
- Provide hands-on prototyping and code development in Python or other languages as needed.
- Guide adoption of MLOps, LLMOps, AgentOps, DevOps, observability, governance, and secure deployment practices.
Requirements
- 16+ years of professional experience, including 5–8 years architecting and deploying enterprise-scale AI/ML, Generative AI, and Agentic AI solutions.
- Extensive pre-sales, consultative selling, RFP/RFI leadership, solution shaping, and client-facing workshop experience.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
- Experience managing global stakeholders and delivering significant business outcomes.
- Deep expertise in cloud-native and microservices architectures, Agentic AI, AI-ready data, RAG, agents, and orchestration.
- Experience defining MLOps, LLMOps, and AgentOps architectures, including automation, observability, governance, and responsible AI.
- Hands-on experience deploying AI/ML solutions on Azure, AWS, and/or GCP, including platform-native AI services.
- Strong experience with LLMs, vector databases, agent frameworks, data modeling, SQL, Databricks, Snowflake, and Synapse.
- Strong foundational knowledge of machine learning, deep learning, NLP, and Generative AI.
- Advanced Python programming skills, with PySpark experience preferred or optionally useful for prototyping and reference implementations.
- Experience integrating enterprise security, identity, and authentication into AI/ML and LLM applications.
- Experience deploying workloads on Kubernetes, Web Apps, Databricks, or similar cloud-native platforms.
- Knowledge of MLflow, feature stores, batch inference, real-time endpoints, Azure DevOps, GitHub Actions, Jenkins, Terraform, and AWS CloudFormation.
- Working knowledge of responsible AI, governance, model risk management, compliance, data strategy, analytics modernization, data mesh, data fabric, multi-cloud data strategies, and real-time analytics.
- Project and client management skills and experience with solutioning and pre-sales engagements.
Benefits
- Support, coaching, and feedback from colleagues.
- Opportunities to develop new skills and progress your career.
- Individual progression planning and practical experience alongside education and coaching.
- Freedom and flexibility to manage the role in a way that suits the employee.
- Work in an interdisciplinary environment with challenging client projects and knowledge exchange.
Tech Stack
Apache SparkAWSAzureDatabricksDockerGitGitHub ActionsGoogle Cloud PlatformJenkinsKubernetesMLflowPythonSnowflakeSQLTerraform
Categories
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.