AI Data Engineer Jobs in New York
AI Data Engineer jobs in New York are among the most active in the country, concentrated in finance, media, healthcare, and enterprise technology, with openings at every level from entry-level associates through principal engineers. New York City dominates hiring volume, with significant demand also coming out of Albany and Buffalo, where state government agencies and regional health systems are building out data infrastructure. Goldman Sachs, JPMorgan Chase, and IBM are among the established New York employers with consistent demand for ai data engineers, particularly in MLOps pipeline development, large language model integration, and real-time data architecture. Find a role that fits below and apply directly.
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We Are:
About Accenture
Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 814,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $74 billion in FY26 revenue. Visit us at accenture.com.
Who You Are:
You are a cross-Financial Services skilled senior Data 360 and AI Architect within Accenture’s Financial Services Salesforce Business Group practice. You design enterprise-scale solutions at the intersection of Salesforce Data 360, Agentforce, and Financial Services platforms in Banking, Capital Markets, and Insurance — and you do it in high-stakes environments where architecture decisions shape multi-year client programs.
You own end-to-end technical architecture across Data 360, identity resolution, agentic AI design, and CRM integration patterns. You contribute from pre-sale through delivery: shaping proposals, leading design sessions, reviewing builds, and ensuring what gets built holds up at scale. You are equally effective in a client boardroom and a technical design review.
The Work:
- Data 360 architecture — own end-to-end design of Data 360 solutions including data model, ingestion strategy, identity resolution, unified profiles, segmentation, and real-time activation for FS clients.
- Agentforce & Voice AI — architect agentic AI solutions across Banking, Capital Markets, & Insurance — including Agentforce Voice deployments, multi-agent orchestration, and AI workflow design.
- Data 360 strategy — define customer 360 strategies that unify structured and unstructured data across Salesforce and third-party sources into actionable intelligence.
- CRM integration architecture — design integration patterns between Data 360, Salesforce Financial Services Cloud, Marketing Cloud, and external platforms; provide architecture governance across workstreams.
- Pre-sale solutioning — lead technical response for RFPs and orals; translate complex AI and data architectures into clear client narratives; own architecture sections of proposals.
- Design governance — conduct solution design reviews, set architecture standards across delivery teams, and manage technical risk across programs.
- Team leadership — mentor architects and technical analysts; guide build quality, code reviews, and delivery standards.
- Practice development — contribute reusable architecture patterns, accelerators, and Financial Services specific AI use case frameworks to the broader practice.
What You Need:
- Minimum of 8 years of progressive Salesforce architecture experience across full-lifecycle implementations in consulting environments.
- Minimum of 4 years of experience with Data 360 and deep expertise in data ingestion, identity resolution, segmentation, activation, and Data 360 governance patterns.
- Minimum of 1 year of Agentforce and hands-on experience architecting Agentforce solutions, AI-powered workflows, and/or Voice AI deployments.
- Minimum of 4 years of experience in designing enterprise integrations across CRM, data, marketing, and external platforms (MuleSoft, REST/SOAP, event-driven patterns).
- Bachelor’s degree in Computer Science, Engineering, or equivalent (minimum 12 years) work experience. If Associate’s Degree, must have minimum 6 years work experience.
Bonus Points:
- Salesforce Financial Services Cloud or equivalent Financial Services CRM platforms and their use cases.
- Demonstrated experience influencing senior client stakeholders and leading architecture decisions in complex, multi-workstream programs.
- Architecture experience with Agentforce Voice, contact center AI, or conversational AI platforms in Financial Services contexts.
- Experience designing omnichannel engagement solutions combining Marketing Cloud, Data Cloud, and agentic content generation.
- Salesforce Certified System Architect, Data Cloud Consultant, Agentforce Specialist, AI Associate, or Certified Application Architect.
- Experience with headless or composable CRM architecture patterns.
- Experience managing technical delivery across onshore/offshore distributed teams.
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 12/06/2026.
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:
U.S. Employee Benefits | Accenture
Role Location Annual Salary Range
California $132,500 to $366,300
Colorado $132,500 to $316,400
Connecticut $132,500 to $316,400
District of Columbia $141,100 to $337,000
Illinois $122,700 to $316,400
Maine $112,900 to $269,600
Maryland $132,500 to $316,400
Massachusetts $132,500 to $337,000
Minnesota $132,500 to $316,400
New York $122,700 to $366,300
New Jersey $141,100 to $366,300
Ohio $122,700 to $293,000
Virginia $122,700 to $337,000
Washington $141,100 to $337,000
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.
Join Accenture to work at the heart of change. Visit us at www.accenture.com.
See All 119+ AI Data Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find AI Data Engineer JobsAI Data Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
AI Data Engineer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- JPMorganChase12

- Logic7

- Amazon Web Services7

- Information Technology Senior Management Forum6
- Capital One4

Top Industries Hiring
- Investment & Asset Management
- Technology & Software
- Education
- Medical Devices
- Science & Research
What New York Employers Look For
The qualifications that appear most often in AI data engineer jobs across New York.
- Bachelor's or master's degree in computer science, data engineering, or a related field
- Proficiency in Python and SQL for building and maintaining data pipelines
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
- Familiarity with machine learning frameworks including TensorFlow, PyTorch, or Scikit-learn
- Experience designing and deploying ETL workflows and distributed data systems
- Strong understanding of MLOps practices and model deployment in production environments
AI Data Engineer Jobs in New York: Frequently Asked Questions
How do you become a ai data engineer in New York?
Most ai data engineers in New York enter the field with a bachelor's degree in computer science, data science, or a related discipline, though a master's degree is increasingly common for roles at larger financial and technology employers. There is no state-issued license required to work as an ai data engineer in New York. Employers typically look for demonstrated experience with cloud infrastructure, ML pipelines, and data architecture, often validated through project portfolios, certifications from AWS or Google, and internships completed while studying at New York universities.
How much do AI data engineers make in New York?
AI data engineers in New York earn a median of about $130,460 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $73,330 for the lowest 10% to over $214,080 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai data engineers in New York?
Employers hiring ai data engineers in New York right now include JPMorganChase, Logic, and Amazon Web Services, based on current listings on Migrate Mate as of November 2026. New York's deep concentration of financial institutions, media companies, and large healthcare systems means consistent year-round demand across industries beyond pure technology.
Which New York cities have the most ai data engineer jobs?
New York, Niskayuna, and New York State have the most ai data engineer openings in New York. New York City accounts for the largest share by far, driven by its density of financial services firms, advertising technology companies, and enterprise headquarters, while Albany and Buffalo contribute openings tied to state government data initiatives and regional health system expansions.
Are there remote ai data engineer jobs in New York?
Yes, and more than most fields. About 72% of ai data engineer openings tied to New York are remote or hybrid as of November 2026, reflecting how naturally the work lends itself to distributed teams. The most remote-friendly parts of the role tend to be pipeline development, model monitoring, and data architecture design, while roles involving on-premise infrastructure or close collaboration with trading desks are more likely to require in-office presence.
How can I get hired as a ai data engineer in New York with little or no experience?
The most realistic entry path is securing an associate or junior data engineer role at a New York financial services firm or large health system, which often run formal new-graduate programs. JPMorgan Chase and Citigroup run structured technology analyst programs that place candidates into data and AI teams. Building a portfolio of end-to-end pipeline projects on public datasets, earning a cloud certification from AWS or Google, and targeting lateral moves from data analyst or business intelligence roles at New York companies are the clearest ways to get a foothold without prior ai data engineering titles.
Where can I find and apply to ai data engineer jobs in New York?
You can find and apply to ai data engineer jobs in New York on Migrate Mate, which lists current New York openings from employers actively hiring in the state. Find roles that fit your experience and apply directly to each one.
See All 119+ AI Data Engineer Jobs in New York
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