Senior Forward Deployed Engineer - AI Solutions Consultant

Ernst & Young LLP ( EY India ); Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Ernst & Young LLP in Bengaluru seeks a Senior Consultant for Forward Deployed Engineer to design, build, and deploy AI-powered solutions directly with clients. The role favors hands-on engineers who translate complex business problems into production-grade GenAI systems and collaborate with client stakeholders.

You will lead end-to-end deployments, develop LLM‑driven apps, RAG systems, and agentic workflows, helping EY scale AI across industries while adhering to security and compliance.

Qualifications

• Mandatory 3-5 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 cloud‑native 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.

Responsibilities

• Partner with client business and engineering teams to translate complex problems into executable GenAI solutions.
• Own solution delivery end‑to‑end, from discovery and architecture through production deployment.
• Act as a trusted technical advisor to senior and executive client stakeholders.
• Design and build LLM‑powered 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 production‑grade, enterprise‑ready platforms through rapid iteration and feedback.
• Architect scalable, reliable, and observable systems using cloud‑native patterns.
• Develop reusable accelerators, reference architectures, and best practices for enterprise GenAI adoption.

Skills

Python

Distributed systems

Microservices

APIs

Cloud-native

DevOps

CI/CD

Client-facing

GenAI

Tools

LLM APIs

Vector databases

Orchestration frameworks

Cloud platforms

Job description

MS-AI4AI-FDE-SeniorCon At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

EY- GDS – Managed Services “AI for AI” Team – Senior Consultant – Forward Deployed Engineer As part of our EY‑GDS Managed Services “AI for AI” Team, we help our clients solve complex business challenges with the help of AI, Automation, Data Engineering technology. We drive value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance.

The opportunity

We are seeking a Senior Consultant for Forward Deployed Engineer (FDE) with 3-5 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.

Key Responsibilities

• Partner with client business and engineering teams to translate complex problems into executable GenAI solutions.
• Own solution delivery end‑to‑end, from discovery and architecture through production deployment.
• Act as a trusted technical advisor to senior and executive client stakeholders.
• Design and build LLM‑powered 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 production‑grade, enterprise‑ready platforms through rapid iteration and feedback.
• Architect scalable, reliable, and observable systems using cloud‑native patterns.
• Develop reusable accelerators, reference architectures, and best practices for enterprise GenAI adoption.

Required Skills & Experience

• Mandatory 3-5 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 cloud‑native 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.

Desired / Preferred

• 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.

What This Role Is NOT

• 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.

What we look for

• 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.

What working at EY offers

• Support, coaching and feedback from some of the most engaging colleagues around.
• Opportunities to develop new skills and progress your career.
• The freedom and flexibility to handle your role in a way that’s right for you.

EY | Building a better working world EY exists to build a better working world, helping to create long‑term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.