Forward Deployed AI Engineer - Associate Director

Ernst & Young Advisory Services Sdn Bhd; Hoboken (NJ); Hybrid; USD 156,400 - 301,000; Full time

Benefits offered by this job

Competitive compensation package

Flexible vacation policy

Professional growth opportunities

Job summary

Ernst & Young Advisory Services Sdn Bhd seeks an Associate Director in Hoboken, New Jersey, to support design and deployment of AI-driven solutions. The role requires collaboration with client teams and effective communication.

The ideal candidate has over 6 years of experience in AI/ML solution delivery and strong engineering skills. The position offers a competitive compensation package and a hybrid work model.

Qualifications

• 6+ years in software engineering, data engineering, or AI/ML solution delivery.
• Proven experience delivering scalable AI/ML solutions in client-facing roles.
• Solid expertise in machine learning, generative AI, NLP, computer vision.

Responsibilities

• Support AI and data strategy initiatives with senior client stakeholders.
• Develop and implement AI applications leveraging RAG and autonomous agents.
• Mentor and guide junior engineers and data scientists.

Skills

AI/ML engineering

Python

Stakeholder management

Cloud-native architectures

Communication

Tools

Azure

AWS

GCP

Kubernetes

Docker

Job description

The Opportunity

As an Associate Director in EY’s Forward Deployed Engineering team, you will support the design, development, and deployment of AI‑driven, data‑centric solutions within strategic client environments. This role blends strong technical expertise with emerging leadership capabilities to contribute to business impact through collaboration with client teams and internal stakeholders.

Key Responsibilities

• Client Engagement & Solution Support
  • Collaborate with senior client stakeholders and technical teams to support AI and data strategy initiatives.
  • Assist in the full lifecycle of solution development—from problem definition, architecture design, prototyping, deployment, to scaling and adoption.
  • Help align client technology roadmaps with business objectives and emerging AI trends.
• Develop and implement AI and LLM‑powered applications leveraging Retrieval‑Augmented Generation (RAG), autonomous agents, and orchestration frameworks.
• Demonstrate proficiency in Python and agent frameworks such as LangChain, LlamaIndex, or AutoGen.
• Rapidly develop functional prototypes and production‑ready demos within project timelines.
• Commercial & Growth Enablement
  • Support identification and pursuit of technical expansion opportunities to accelerate account growth.
  • Contribute to proposal development, technical demos, and client engagements by articulating AI/ML capabilities and business value.
  • Communicate effectively with both technical and non‑technical stakeholders.
• Mentor and guide junior engineers and data scientists within cross‑functional pods.
• Foster a culture of innovation, agility, and continuous improvement.
• Contribute to the refinement of EY’s Forward Deployed Engineering frameworks, best practices, and technical capabilities.

Skills and Attributes for Success

• Ability to operate effectively in ambiguous, fast‑paced client environments.
• Strong hands‑on AI/ML engineering skills combined with emerging solution leadership capabilities.
• Excellent communication and stakeholder management skills.
• Commercial awareness focused on delivering measurable business outcomes.
• Passion for AI, cloud‑native architectures, and emerging technologies.

Required Qualifications

• 6+ years in software engineering, data engineering or AI/ML solution delivery.
• Proven experience delivering scalable AI/ML solutions in client‑facing or collaborative roles.
• Solid expertise in machine learning, generative AI, NLP, computer vision, data platforms, and big‑data technologies.
• Experience with cloud‑native development, microservices, container orchestration (Kubernetes, Docker).
• Proficiency with cloud platforms: Azure, AWS, GCP.
• Familiarity with DevOps practices including CI/CD, Infrastructure as Code (Terraform, Ansible), monitoring, and logging.
• Exposure to agentic architectures, multi‑agent orchestration, or cognitive harness patterns.
• Consulting or technical delivery experience with enterprise clients.
• Demonstrated ability to contribute to complex technical engagements and collaborate with multidisciplinary teams.

Preferred Qualifications

• Knowledge of MLOps, LLMOps, AI governance, ethical AI frameworks, and model interpretability tools.
• Experience supporting sales, pursuits or account growth initiatives.

Benefits

• Competitive compensation package: base salary range $156,400 to $301,000 in the U.S. (higher ranges in major metropolitan markets). Total Rewards include medical, dental, pension, 401(k), and paid time off.
• Hybrid model: most client‑serving roles work on‑site 40–60% of the time.
• Flexible vacation policy and paid holidays; additional leave for personal, family and well‑being needs.
• Professional growth and development opportunities within a global, inclusive culture.

Equal Employment Opportunity & Reasonable Accommodation

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities.