Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) Senior.
United States Jobs Expertini

Urgent! Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) - Senior Job Opening In San Antonio – Now Hiring EY

Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) Senior



Job description

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.

**Senior Analyst - Financial Services Organization – AI and Data – Service Delivery Center**

EY is the only professional services firm with a separate business unit (“FSO”) that is dedicated to the financial services marketplace.

Our FSO teams have been at the forefront of every event that has reshaped and redefined the financial services industry.

This practice also has several Service Delivery Centers that are made up of high-performing US-based resources who work closely with our experienced client-serving professionals to deliver project-based work and managed services to our US-based Financial Services clients.

If you have a passion for rallying together to solve the most complex challenges in the financial services industry, come join our dynamic FSO team!

**The Opportunity**

You’ll architect and deploy production-grade AI agents and multi-agent systems that transform financial services.

Working with cutting-edge LLMs and agentic frameworks, you’ll build autonomous systems that process millions of transactions, make intelligent decisions, and continuously learn from real-world financial data.

This is your chance to shape how AI reshapes global finance.

**What You’ll Do**

**Build Autonomous Financial AI Systems**

+ Design and implement multi-agent architectures using LangChain, AutoGen, or CrewAI for complex financial workflows
+ Deploy production-ready LLMs fine-tuned for financial domain expertise (loan underwriting, risk assessment, regulatory compliance)
+ Create RAG (Retrieval-Augmented Generation) systems that connect AI agents to enterprise knowledge bases and real-time market data
+ Implement agentic reasoning systems capable of autonomous decision-making within regulatory boundaries

**Scale AI Solutions for Enterprise Impact**

+ Deploy AI agents serving millions of customers with sub-second latency requirements
+ Build robust MLOps pipelines for continuous model improvement and A/B testing
+ Implement comprehensive monitoring and observability for autonomous systems
+ Optimize inference costs while maintaining performance SLAs

**Drive Innovation in Financial AI**

+ Prototype breakthrough applications: AI-powered trading assistants, autonomous compliance monitors, intelligent fraud detection agents
+ Collaborate with financial domain experts to translate complex regulations into AI agent behaviors
+ Contribute to EY’s AI research initiatives and patent applications
+ Present solutions to C-suite executives at major financial institutions

**Technical Requirements**

**Core Skills (Must-Have)**

+ 3-5 years of Python programming with production deployment experience
+ Hands-on experience with LLMs: GPT-4, Claude, Llama, or similar foundation models
+ Agentic AI frameworks: LangChain, AutoGen, CrewAI, or similar multi-agent orchestration tools
+ Vector databases: Pinecone, Weaviate, or Chroma for semantic search at scale
+ Cloud platforms: AWS SageMaker, Azure OpenAI Service, or Google Vertex AI
+ MLOps practices: Model versioning, A/B testing, drift detection, and continuous deployment

**Preferred Skills (Nice-to-Have)**

+ Experience with financial services applications (trading, risk, compliance, or banking)
+ Knowledge of prompt engineering and in-context learning optimization
+ Familiarity with model fine-tuning techniques (LoRA, QLoRA, PEFT)
+ Understanding of AI safety practices and responsible AI frameworks
+ Experience with real-time streaming architectures (Kafka, Flink)
+ Contributions to open-source AI projects
+ Good written and verbal communication skills
+ A willingness and ability to travel at 0%-25%
+ Valid driver’s license in the US
+ Valid passport

**Ideally, you’ll also have**

+ Certification in any database management system, reporting or data visualization, or programming/statistical language
+ Working knowledge or certifications in cloud technologies such as Snowflake, Databricks, AWS, or Azure
+ Experience with generative AI models and techniques, including GANs and Transformers
+ Understanding of the ethical implications of generative AI and commitment to responsible AI practices

**What we look for**

We’re interested in professionals that are passionate about technology, who already have an understanding of data and are comfortable analyzing or manipulating it while generating reports for clients.

You’ll also need to be able to clearly articulate both problems and proposed solutions, and have the willingness to learn and quickly adapt to changing requirements.

On top of this, we’re looking for team players and hard workers who are not afraid to take initiative to master their craft and produce high-quality work.

If you have a proactive approach and want to be part of a group that continues to grow significantly, this role is for you.

**What working at EY offers**

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business.

In addition, our Total Rewards package includes medical and dental coverage, both pension and 401(k) plans, a minimum of 15 days of vacation plus ten observed holidays and three paid personal days, and a range of programs and benefits designed to support your physical, financial, and social well-being.

Plus, we offer:

+ Opportunities to develop new skills and progress your career
+ Support and coaching from some of the most engaging and knowledgeable colleagues
+ A collaborative environment where everyone works together to create a better working world
+ Excellent training and development prospects

**About EY**

As a global leader in assurance, tax, transaction, and advisory services, we hire and develop the most passionate people in their field to help build a better working world.

This starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better.

So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

Join us in building a better working world.

Apply now.

**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 $65,500 to $134,000.

The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $78,600 to $152,100.

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 .



Required Skill Profession

Other General



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Service Delivery Potential: Insight & Career Growth Guide


  • Real-time Service Delivery Jobs Trends in San Antonio, United States (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Service Delivery in San Antonio, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 166651 jobs in United States and 2920 jobs in San Antonio. This comprehensive analysis highlights market share and opportunities for professionals in Service Delivery roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) Senior Job?

    Great news! is currently hiring and seeking a Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) Senior to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

  • The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at EY adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:
    • 1. Independence
    • 2. Loyalty
    • 3. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 6. Respect for human rights
    • 7. Obeying United States laws and regulations
  • What Is the Average Salary Range for Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) Senior Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in San Antonio. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

  • What Are the Key Qualifications for Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) Senior?

    Key qualifications for Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) Senior typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

  • How Can I Improve My Chances of Getting Hired for Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) Senior?

    To improve your chances of getting hired for Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) Senior, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

  • Interview Tips for Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) Senior Job Success
    EY interview tips for Service Delivery Center, AI & Data, Machine Learning Engineer (MLE)   Senior

    Here are some tips to help you prepare for and ace your job interview:

    Before the Interview:
    • Research: Learn about the EY's mission, values, products, and the specific job requirements and get further information about
    • Other Openings
    • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
    • Dress Professionally: Choose attire appropriate for the company culture.
    • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
    • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
    During the Interview:
    • Be Punctual: Arrive on time to demonstrate professionalism and respect.
    • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
    • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
    • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
    • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
    • Follow Up: Send a thank-you email to the interviewer within 24 hours.
    Additional Tips:
    • Be Yourself: Let your personality shine through while maintaining professionalism.
    • Be Honest: Don't exaggerate your skills or experience.
    • Be Positive: Focus on your strengths and accomplishments.
    • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
    • Turn Off Phone: Avoid distractions during the interview.
    Final Thought:

    To prepare for your Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) Senior interview at EY, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the EY's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

  • How to Set Up Job Alerts for Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) Senior Positions

    Setting up job alerts for Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) Senior is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!