BENGALURU · FULLTIME
Manager - AI Forward Deployed Engineering
Ernst Young
Bengaluru · onsite · Posted 43d ago
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Undisclosed9–14 yrsfulltimeBengaluru
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Section · 01
About this role
EY- GDS AI & Data Manager Forward Deployed Engineer
We are seeking a Manager for Forward Deployed Engineer (FDE) with 9+ years of deep, hands-on engineering experience to design, build, and deploy AI-powered solutions directly with clients. This role is ideal for an elite individual contributor who thrives in ambiguous environments, prefers building real systems over managing teams, and can translate business problems into production-grade AI solutions. The individual should have worked on GenAI, AI/ML, Data Science solutions on multiple proprietary enterprise AI tech stacks along with Hyperscalers, Platform AI tech stack.
Role Purpose - Lead complex end-to-end deployments in production at strategic customers.
- Lead the discovery, design, development, and deployment of high-impact AI / GenAI-powered solutions in close collaboration with client stakeholders.
- Build LLM-driven applications, RAG systems, and agentic workflows that demonstrate measurable business value.
- Drive innovation by creating reusable accelerators, frameworks, and reference implementations for enterprise GenAI deployments.
- Enable rapid experimentation and large-scale adoption of AI, data, and cloud platforms through hands-on engineering leadership.
- Partner with client business and engineering teams to translate complex problems into executable GenAI solutions.
- Own solution delivery endtoend, from discovery and architecture through production deployment.
- Act as a trusted technical advisor to senior and executive client stakeholders.
- Design and build LLMpowered applications, including copilots, assistants, RAG systems, and agentic workflows.
- Integrate GenAI solutions with enterprise data platforms, APIs, and external systems.
- Optimize solutions across latency, cost, accuracy, scalability, security, and compliance.
- Convert PoCs into productiongrade, enterpriseready platforms through rapid iteration and feedback.
- Architect scalable, reliable, and observable systems using cloudnative patterns.
- Develop reusable accelerators, reference architectures, and best practices for enterprise GenAI adoption.
- 9+ years of experience in software engineering, data engineering, or AI/ML.
- Strong hands-on experience building, deploying, and operating production-grade systems.
- Expert-level proficiency in Python for large-scale, high-performance applications.
- Proven delivery experience in client-facing and high-ambiguity environments.
- Solid foundation in distributed systems, microservices, APIs, and cloudnative architectures.
- Demonstrated ability to independently own and deliver complex, high-impact initiatives.
- Excellent communicator, effective with both technical teams and business stakeholders and should have worked directly with clients.
- Hands-on experience with LLM APIs and prompt engineering, RAG architectures and vector databases, Agentic workflows and orchestration frameworks
- Experience integrating AI systems with enterprise data platforms.
- Exposure to AI ecosystem OpenAI, Claude, Cursor, Palantir, and many others along with Hyperscalers Azure, AWS, GCP, and similar ecosystem.
- Experience with DevOps, CI/CD pipelines, and infrastructure automation.
- Consulting, global delivery, or field engineering experience with direct client exposure
- Prior Forward Deployed Engineer / Solutions Engineer / Field Engineer background.
- Experience building 0 1 AI or data products.
- Exposure to MLOps practices and model monitoring.
- Frontend or UI exposure for AI-driven applications.
- Not a people management role
- Not a delivery governance or program management role
- Not limited to architecture reviews you are expected to build and ship
- Deep technical expertise with genuine enthusiasm for building and learning.
- Senior engineer who still codes regularly and enjoys it
- Builder mindset over managerial aspirations.
- Strong communication with both engineers and business leaders
- Curious, adaptable, and comfortable learning fast
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Section · 02
Skills
AutomationDevopsclaudeCI/CD PipelinesDistributed Systemscloud platformsapisdata platformsamazon web servicescursorBankingCapital MarketsdeploymentData EngineeringcloudArchitecturecomplianceAi SolutionsMicrosoft AzureData ScienceArtificial Intelligence
Section · Company
About Ernst & Young
Ernst Young
Management Consulting
44k+
employees
2002
24 years old
Gurgaon / Gurugram, Haryana
India
₹15.3L PA avg
Avg at Ernst & Young
About
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