Cloud AI Architect Jobs in New York
Cloud AI Architect jobs in New York draw strong demand across financial services, media, healthcare, and enterprise technology, with openings at every level from associate cloud engineer through principal and distinguished architect. New York City is the dominant hiring hub, with significant activity in Buffalo and Albany as major institutions and state agencies modernize their cloud infrastructure. Long-standing employers including JPMorgan Chase, IBM, and Verizon maintain deep cloud AI practices in the state, with specializations in MLOps, multi-cloud integration, and large language model deployment consistently in demand. Find a role that fits below and apply directly.
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Showing 5 of 25+ Cloud AI Architect jobs
INTRODUCTION
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
ABOUT SALESFORCE
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Delivering customer success with Data + AI + CRM + Trust requires more than product expertise; it requires deep technical architecture leadership. The Data & AI Technical Architect is a senior, hands-on technical architect responsible for designing, validating, and operationalizing enterprise-grade data and AI architectures centered on Salesforce D360 and the Agentforce platform. This role sits at the intersection of data engineering, platform architecture, and applied AI. You will work directly with customer architects, data engineers, and platform owners to design scalable, secure, and performant solutions that integrate D360 into complex enterprise ecosystems—including hyperscalers, data lakes, real-time pipelines, identity systems, and governance frameworks. This role owns the technical architecture end-to-end: from deep discovery and system design, through hands-on validation, to production readiness and long-term scalability. Your work establishes the data foundation required for trusted AI, agentic workflows, and measurable business outcomes.
YOUR IMPACT
- Own and drive the full technical lifecycle, from deep technical discovery and system design to architecture validation and technical close, across in-person and virtual engagements.
- Design and validate end-to-end data architectures integrating Salesforce D360 with enterprise systems (Snowflake, Databricks, BigQuery, Redshift, streaming platforms, MDM, and source systems).
- Own technical architecture decisions, including data modeling, identity resolution, real-time vs. batch patterns, data graph design, and activation strategies within D360.
- Partner with Account Executives to shape technical close strategy, grounded in architectural feasibility, scalability, and customer data realities.
- Execute hands-on technical validation (POCs, architectural walkthroughs, reference implementations) to de-risk complex deals and accelerate D360 adoption.
- Define repeatable industry-specific reference architectures built on D360 that scale across accounts and drive consistent outcomes.
- Collaborate deeply with Salesforce Product & Engineering teams to:
- Influence roadmap through high-signal Voice of the Customer feedback
- Validate architectural patterns against upcoming D360 capabilities
- Act as a technical authority during escalations, architecture reviews, and executive-level design discussions.
- Produce high-fidelity technical assets (architecture diagrams, Demos, governance models, activation patterns) used by field teams, partners, and customers.
- Serve as a trusted technical advisor to customer Chief Data Officers, Enterprise Architects, and Platform Owners.
- Ensure D360 architectures align to security, privacy, compliance, and trust requirements—especially in regulated industries.
- Represent Salesforce’s technical point of view for modern data and AI architectures, with D360 as the system of activation, at customer briefings and technical forums.
QUALIFICATIONS
You bring progressively senior technical responsibility, including:
- 7+ years of hands-on experience designing and delivering data, analytics, and AI architectures in enterprise environments.
- Strong background in data engineering, platform architecture, or technical architecture roles (pre-sales or post-sales).
- BS in Computer Science, Engineering, Data Science, or equivalent technical field (advanced degree preferred).
- Proven experience integrating complex, distributed data ecosystems with activation platforms like D360 to drive business outcomes.
- Deep expertise in:
- Modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift)
- Data ingestion patterns (batch, streaming, CDC)
- Identity resolution, data modeling, and graph-based relationships
- Hands-on proficiency with Python/R, data frameworks (DataFrames, pandas), and analytics workflows (Jupyter).
- Strong technical fluency with Salesforce platform architecture, including D360 and core Salesforce services.
- Experience guiding architectural conversations with senior technical stakeholders and influencing platform and data strategy decisions.
- Ability to translate complex technical concepts into clear architectural guidance for both technical and executive audiences.
- Experience operating in large, matrixed organizations with complex stakeholder environments.
TECHNICAL SKILL SET
As a Senior Technical Architect, You Bring Depth Across:
Data Architecture
- Cloud data platforms: Snowflake, Databricks, BigQuery, Redshift
- Data modeling, identity resolution, entity relationships, D360 data graph design
- Batch, real-time, and hybrid ingestion patterns into D360
- Data quality, lineage, governance, and trust frameworks
AI & Analytics
- Python/R, Jupyter, data wrangling, feature preparation
- Applied machine learning concepts and AI-readiness architecture on top of D360
- Analytics and BI tools: Tableau, Looker, Power BI
Salesforce Platform
- Deep hands-on knowledge of Salesforce architecture
- Salesforce Admin / Advanced Admin-level proficiency
- Experience designing scalable, secure solutions using D360 as the activation layer across Salesforce Clouds
UNLEASH YOUR POTENTIAL
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
ACCOMMODATIONS
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt-out options.
EEO STATEMENT
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,190 - $231,980 annually. There is a different range applicable to specific work locations. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $162,960 - $255,150 per year. Your recruiter can share more about the specific salary range for the job location during the hiring process. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
INTRODUCTION
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
ABOUT SALESFORCE
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Delivering customer success with Data + AI + CRM + Trust requires more than product expertise; it requires deep technical architecture leadership. The Data & AI Technical Architect is a senior, hands-on technical architect responsible for designing, validating, and operationalizing enterprise-grade data and AI architectures centered on Salesforce D360 and the Agentforce platform. This role sits at the intersection of data engineering, platform architecture, and applied AI. You will work directly with customer architects, data engineers, and platform owners to design scalable, secure, and performant solutions that integrate D360 into complex enterprise ecosystems—including hyperscalers, data lakes, real-time pipelines, identity systems, and governance frameworks. This role owns the technical architecture end-to-end: from deep discovery and system design, through hands-on validation, to production readiness and long-term scalability. Your work establishes the data foundation required for trusted AI, agentic workflows, and measurable business outcomes.
YOUR IMPACT
- Own and drive the full technical lifecycle, from deep technical discovery and system design to architecture validation and technical close, across in-person and virtual engagements.
- Design and validate end-to-end data architectures integrating Salesforce D360 with enterprise systems (Snowflake, Databricks, BigQuery, Redshift, streaming platforms, MDM, and source systems).
- Own technical architecture decisions, including data modeling, identity resolution, real-time vs. batch patterns, data graph design, and activation strategies within D360.
- Partner with Account Executives to shape technical close strategy, grounded in architectural feasibility, scalability, and customer data realities.
- Execute hands-on technical validation (POCs, architectural walkthroughs, reference implementations) to de-risk complex deals and accelerate D360 adoption.
- Define repeatable industry-specific reference architectures built on D360 that scale across accounts and drive consistent outcomes.
- Collaborate deeply with Salesforce Product & Engineering teams to:
- Influence roadmap through high-signal Voice of the Customer feedback
- Validate architectural patterns against upcoming D360 capabilities
- Act as a technical authority during escalations, architecture reviews, and executive-level design discussions.
- Produce high-fidelity technical assets (architecture diagrams, Demos, governance models, activation patterns) used by field teams, partners, and customers.
- Serve as a trusted technical advisor to customer Chief Data Officers, Enterprise Architects, and Platform Owners.
- Ensure D360 architectures align to security, privacy, compliance, and trust requirements—especially in regulated industries.
- Represent Salesforce’s technical point of view for modern data and AI architectures, with D360 as the system of activation, at customer briefings and technical forums.
QUALIFICATIONS
You bring progressively senior technical responsibility, including:
- 7+ years of hands-on experience designing and delivering data, analytics, and AI architectures in enterprise environments.
- Strong background in data engineering, platform architecture, or technical architecture roles (pre-sales or post-sales).
- BS in Computer Science, Engineering, Data Science, or equivalent technical field (advanced degree preferred).
- Proven experience integrating complex, distributed data ecosystems with activation platforms like D360 to drive business outcomes.
- Deep expertise in:
- Modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift)
- Data ingestion patterns (batch, streaming, CDC)
- Identity resolution, data modeling, and graph-based relationships
- Hands-on proficiency with Python/R, data frameworks (DataFrames, pandas), and analytics workflows (Jupyter).
- Strong technical fluency with Salesforce platform architecture, including D360 and core Salesforce services.
- Experience guiding architectural conversations with senior technical stakeholders and influencing platform and data strategy decisions.
- Ability to translate complex technical concepts into clear architectural guidance for both technical and executive audiences.
- Experience operating in large, matrixed organizations with complex stakeholder environments.
TECHNICAL SKILL SET
As a Senior Technical Architect, You Bring Depth Across:
Data Architecture
- Cloud data platforms: Snowflake, Databricks, BigQuery, Redshift
- Data modeling, identity resolution, entity relationships, D360 data graph design
- Batch, real-time, and hybrid ingestion patterns into D360
- Data quality, lineage, governance, and trust frameworks
AI & Analytics
- Python/R, Jupyter, data wrangling, feature preparation
- Applied machine learning concepts and AI-readiness architecture on top of D360
- Analytics and BI tools: Tableau, Looker, Power BI
Salesforce Platform
- Deep hands-on knowledge of Salesforce architecture
- Salesforce Admin / Advanced Admin-level proficiency
- Experience designing scalable, secure solutions using D360 as the activation layer across Salesforce Clouds
UNLEASH YOUR POTENTIAL
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
ACCOMMODATIONS
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt-out options.
EEO STATEMENT
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,190 - $231,980 annually. There is a different range applicable to specific work locations. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $162,960 - $255,150 per year. Your recruiter can share more about the specific salary range for the job location during the hiring process. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
See All 25 Cloud AI Architect Jobs in New York
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Find Cloud AI Architect JobsCloud AI Architect Jobs by City in New York
Where New York roles are concentrated, by current openings.
Cloud AI Architect Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- Boston Consulting4
- Anthropic2
- Datadog2
- Tubi2
- Alvarez & Marsal1
Top Industries Hiring
- Technology & Software8
- Consulting & Professional Services7
- Science & Research3
- Banking & Financial Services1
- Electronics & Hardware1
What New York Employers Look For
The qualifications that appear most often in cloud AI architect jobs across New York.
- Bachelor's or master's degree in computer science, engineering, or a related technical field
- Hands-on experience designing and deploying AI workloads on AWS, Azure, or Google Cloud
- Professional cloud certification such as AWS Solutions Architect, Google Professional Cloud Architect, or Azure Solutions Architect Expert
- Proficiency in machine learning frameworks including TensorFlow, PyTorch, or Vertex AI
- Experience with MLOps pipelines, model lifecycle management, and cloud-native DevOps practices
- Strong communication skills for translating complex architecture decisions to executive and cross-functional stakeholders
Cloud AI Architect Jobs in New York: Frequently Asked Questions
How do you become a cloud ai architect in New York?
There is no state-issued license required to work as a cloud ai architect in New York, so the path runs through education and vendor certification. Most New York employers expect at minimum a bachelor's degree in computer science or a related engineering field, combined with a recognized cloud certification from AWS, Google, or Microsoft. Candidates build toward the architect role from cloud engineering or DevOps positions, adding AI and machine learning experience along the way.
Which companies hire cloud ai architects in New York?
Employers hiring cloud ai architects in New York right now include Boston Consulting, Anthropic, and Datadog, based on current listings on Migrate Mate as of June 2026. New York's concentration of financial institutions, media companies, and large healthcare systems means demand extends well beyond pure technology firms into industries actively modernizing their AI infrastructure.
Which New York cities have the most cloud ai architect jobs?
New York, Brooklyn, and Bridgewater have the most cloud ai architect openings in New York. New York City accounts for the largest share by a wide margin, driven by its density of investment banks, global media companies, and enterprise technology headquarters, while Buffalo and Albany generate steady demand from healthcare systems, higher education institutions, and state government modernization programs.
Are there remote cloud ai architect jobs in New York?
Yes, and more than most fields. About 48% of cloud ai architect openings tied to New York are remote or hybrid as of June 2026, reflecting how well the role translates to distributed work. Architecture design, stakeholder consultation, and cloud platform configuration are all tasks that transfer cleanly to remote settings, with on-site presence most often required only for regulated industries or sensitive enterprise environments.
How can I get hired as a cloud ai architect in New York with little or no experience?
The most realistic entry path is a junior cloud engineer or cloud operations role with a major New York employer, then building toward architecture from there. Large institutions including JPMorgan Chase, IBM, and major New York health systems run associate engineer and rotational technology programs that bring in candidates without senior experience. Earning an entry-level cloud certification and completing a portfolio project that demonstrates AI model deployment on a public cloud platform gives early-career candidates a concrete edge in New York interviews.
Where can I find and apply to cloud ai architect jobs in New York?
You can find and apply to cloud ai architect jobs in New York on Migrate Mate, which lists current New York openings from employers actively hiring for this role. Find a role that fits and apply directly through the listing.
See All 25 Cloud AI Architect Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
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