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About This Role
Location: New York, Boston
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
Consulting – Tech Consulting – FinTech – Blockchain and AI Engineering \- Manager
Whole industries have been disrupted and transformed in recent years by digital technology. EY advises clients to understand, architect, select and implement bleeding edge solutions required to efficiently run their businesses, with a focus on Digital and Cloud. These service areas span E\-commerce, Blockchain, Solution Architecture, Mobile Applications, Digital Platform Architecture, Digital Technology Strategy, and Digital IT Operations.
The opportunity
Our mission at EY is to industrialize blockchain technology for enterprises and large financial institutions, with a particular focus on public blockchains like Ethereum and Bitcoin. We are an innovative and collaborative group of technical developers, cryptographers, mathematicians and business strategists who are dedicated to the application of blockchain technology and the development of world\-class products. At EY, you will help our clients, some of the most influential companies, explore emergent applications and transform the way the world does business.
We are looking for Software Engineering Managers who are as excited about the future of public blockchains as we are. As a Software Engineering Manager, you will lead a team of engineers to design, build, and deliver scalable, enterprise blockchain applications for our clients. To be successful in this role, you should be comfortable bridging two worlds: business users (clients), with a focus on ROI and deliverables; and engineers, who are seeking mentorship and prioritize building new technical skills.
As a Manager in Application Systems Engineering, you will be at the forefront of defining user and customer requirements, focusing on development across diverse platforms. You'll play a pivotal role in engineering software components and services that ensure seamless communication within the system architecture.
Your key responsibilities
As a vital member of our team, you will manage and deliver high\-quality processes, solutions, or projects, with a strong focus on quality, risk management, and continuous improvement. You'll be expected to innovate through research and benchmarking best practices, while managing professional employees and supervisory responsibilities to meet performance objectives. Your role will encompass:
- Leading agile teams of engineers and take responsibility for the overall planning, execution, and success of blockchain projects
- Growing our team, including coaching individuals, leading technical discussions and learning sessions, and developing more leaders within our team
- Establishing and driving software engineering best practices and set standards across our global blockchain team
- Collaborating on product direction as a technical lead to design and implement blockchain solutions that create meaningful value for our clients
- Educating our clients on blockchain technology and its capabilities and evaluating the viability of potential use cases and applications
- Supporting business development opportunities as a technical resource alongside subject matter experts from Advisory, Assurance, and Tax service lines
- Ensuring billability through chargeable work to external clients.
- Leading workstream delivery with strategic oversight.
- Managing project status and overseeing deliverable completion.
- Traveling as required by client engagements.
- Actively participating in client sessions and leading workstreams from planning to execution.
- Identifying additional service opportunities to drive sales.
- Leading specific RFP responses and managing engagement economics.
- Executing resource planning within budget constraints.
Skills and attributes for success
To thrive in this role, you'll need a blend of technical prowess and business acumen, coupled with the ability to manage complex problems and lead teams effectively. Your skills will include:
- You’re an innovator. You keep up to date on emerging technologies (especially blockchain) and are constantly thinking about potential applications.
- You’re a people developer. You find and cultivate talent to achieve outstanding results. You give your team creative freedom to innovate while holding them accountable for making good decisions and delivering results.
- You’re focused on customer value. You don’t blindly implement specs and actively talk to customers and stakeholders to design solutions to their problems.
- You’re comfortable with ambiguity. You thrive in the face of complex problems with no obvious solutions.
- You’re entrepreneurial at heart. You have a passion for making your ideas a reality, building prototypes and ultimately launching production\-scale solutions in the market.
- Agile development methodologies.
- Application integration and quality assurance.
- Proficiency in software development and technology business requirements analysis.
- Strong relationship management and negotiation skills.
To qualify for the role, you must have
- A bachelor's degree is required, with at least 4\-6 years of relevant experience.
- 5\+ years of professional engineering experience with 3\+ years of people management experience
- Hands\-on experience with modern full\-stack JavaScript development including Node.js and frameworks such as React and Express
- Experience designing and implementing RESTful and/or GraphQL APIs
- Experience building cloud native/microservices architecture applications and platforms
- Experience with Agile software development (like Scrum or Kanban)
- Knowledge of professional software engineering practices and the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Proven experience in project management of complex deliverables
- Excellent written and verbal communication skills
- Willingness and ability to travel to meet client needs
Ideally, you’ll also have
- Passion for blockchain technology and experience with Ethereum, Quorum, and/or Solidity
- Experience with containerization technologies such as Docker and Kubernetes
- Previous experience deploying and configuring environments using infrastructure\-as\-code provisioning tools like Terraform and Ansible
- Experience with traditional enterprise technologies including SaaS and ERP systems (like SAP)
- Experience managing customer\-facing engineering teams
- Experience with another language in addition to JavaScript/Typescript for example Rust, Golang, Python, or Java.
- Interest in the emerging field of AI, including experience with:
+ Large Language Models and integration with those
+ Retrieval\-Augmented Generation (RAG)
+ EmbeddingsStrong analytical and decision\-making capabilities.
What we look for
We seek top performers with a keen eye for detail, a robust work ethic, and the ability to navigate complex environments. We value professionals who demonstrate innovation, leadership, and the ability to inspire teams towards achieving excellence.
What we offer you
At EY, we’ll develop you with future\-focused skills and equip you with world\-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $142,600 to $261,500\. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $171,200 to $297,200\. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team\-led and leader\-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40\-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well\-being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on\-going basis.
For those living in California, please click here for additional information.
EY focuses on high\-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY \| Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi\-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
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 including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1\-800\-EY\-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
Salary Context
This $142K-$297K range is above the 75th percentile for AI/ML Engineer roles in our dataset (median: $100K across 15465 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 26,159 AI roles we're tracking, AI/ML Engineer positions make up 91% of the market. At EY, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills Required
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $166,983 based on 13,781 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $131,300. This role's midpoint ($219K) sits 32% above the category median. Disclosed range: $142K to $297K.
Across all AI roles, the market median is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Architect ($292,900). By seniority level: Entry: $76,880; Mid: $131,300; Senior: $227,400; Director: $244,288; VP: $234,620.
EY AI Hiring
EY has 20 open AI roles right now. They're hiring across AI/ML Engineer, Data Scientist, AI Architect, AI Product Manager. Positions span Indianapolis, IN, US, Seattle, WA, US, Jacksonville, FL, US. Compensation range: $152K - $374K.
Location Context
AI roles in New York pay a median of $200,000 across 1,670 tracked positions. That's 9% above the national median.
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 26,159 open positions tracked in our dataset. By seniority: 2,416 entry-level, 16,247 mid-level, 5,153 senior, and 2,343 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (1,863 positions). The remaining 24,200 roles require on-site or hybrid attendance.
The market median for AI roles is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. Highest-paying categories: AI Engineering Manager ($293,500 median, 28 roles); AI Architect ($292,900 median, 108 roles); AI Safety ($274,200 median, 19 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 26,159 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (23,752), AI Software Engineer (598), AI Product Manager (594). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (2,416) are outnumbered by mid-level (16,247) and senior (5,153) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 2,343 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (1,863 positions), with 24,200 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $184,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $309,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $122,200. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Rag (16,749 postings), Aws (8,932 postings), Rust (7,660 postings), Python (3,815 postings), Azure (2,678 postings), Gcp (2,247 postings), Prompt Engineering (1,469 postings), Openai (1,269 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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