AI Platform Engineer Jobs in New York
AI Platform Engineer jobs in New York are among the most active in the country, concentrated in finance, media, healthcare technology, and enterprise software, with demand at every level from entry-level ML infrastructure roles through principal engineers. Most hiring is centered in New York City, with additional activity in Albany and Buffalo, and employers like JPMorgan Chase, IBM, and Verizon maintain lasting, significant engineering footprints across the state. The most in-demand specialties are LLM infrastructure, MLOps pipeline development, and cloud-native AI deployment on platforms like AWS and Azure. Find a role that fits below and apply directly.
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Accelerate your career. Join the organization that's driving the world's technology and shape the future.
Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to business-to-business technology experts. Our market reach, diverse solutions and services portfolio, and digital platform Ingram Micro Xvantage™ set us apart. Learn more at www.ingrammicro.com
Come join our team where you’ll make technology happen in surprising ways. Let’s shape tomorrow - it’ll be a fun journey!
The Sr. Platform, AI Solutions Specialist will drive adoption of intelligent, automated workflows within the Global Platform Group, shifting delivery from manual, effort-driven processes to AI-enabled operations that accelerate delivery and improve accuracy and consistency. As the Platform grows and demand increases, delivery workflows — particularly feature intake, capturing business requirements and use cases, solution and sizing, prioritization, and full testing accuracy and execution — have become resource-intensive, complex, and difficult to scale. This role will uncover experiences, build requirements, and partner closely with our AI technology team to deliver AI solutions that streamline key stages of the delivery lifecycle — from intake and business requirements definition through development and deployment — reducing cycle times, minimizing rework, and enabling teams to focus on higher-value activities. The AI Solutions Specialist is also an enabler and multiplier for the broader GPB organization: well-versed in business AI solutions such as Microsoft Copilot and Claude, sharing best practices, producing GPB-specific trainings, and ensuring teams can effectively leverage emerging AI capabilities and embed AI into day-to-day operations. This role directly supports a scalable operating model that can meet growing demand without proportional resource increases — delivering faster delivery cycles through automation of intake, prioritization, and execution processes; improved quality and consistency with reduced manual errors and rework; increased capacity by eliminating low-value, repetitive tasks; and stronger decision-making through AI-driven insights and predictive intelligence. AI fluency has been identified by GPB leadership as a critical capability to deliver on strategic priorities and meet future business needs over the next three years.
The role:
AI Solution Discovery & Requirements
Uncover experiences and build requirements to shift manual, effort-driven processes to intelligent, automated workflows that accelerate delivery and improve accuracy and consistency.
Identify, assess, and prioritize high-impact AI and automation use cases across the delivery lifecycle — feature intake, business requirements and use case capture, solution and sizing, prioritization, and testing.
Document current-state workflows, quantify pain points, and define clear target-state designs and success criteria for each AI solution.
Translate business needs into structured requirements, use cases, and BRDs that the AI technology team can build against.
AI Delivery & Lifecycle Automation
Work closely with the AI technology team on the delivery of AI solutions, serving as the business-side owner from concept through development and deployment.
Streamline key stages of the delivery lifecycle — from intake and business requirements definition through development and deployment — reducing cycle times and minimizing rework.
Pilot, test, and iterate on AI solutions with working teams; validate outputs for accuracy, quality, and fit before scaling.
Improve full testing accuracy and execution through AI-assisted approaches, reducing manual errors and rework.
Enable teams to focus on higher-value activities by eliminating low-value, repetitive tasks through automation.
Training, Upskilling & Enablement
Maintain deep, hands-on fluency in business AI solutions such as Microsoft Copilot, Claude, and emerging AI tools; evaluate new capabilities as they become available.
Share best practices and produce GPB-specific trainings, playbooks, and enablement materials that raise AI fluency across the organization.
Upskill and enable the broader GPB organization, ensuring teams can effectively leverage emerging AI capabilities and embed AI into day-to-day operations.
Serve as an AI champion and change agent — building confidence, driving adoption, and helping teams navigate new ways of working.
Insights, Impact & Responsible Use
Leverage AI to improve daily task efficiency and drive better decision-making through data-driven insights and predictive intelligence.
Define and track KPIs that quantify efficiency gains, quality improvements, capacity created, and delivery-cycle acceleration from AI adoption.
Contribute to a scalable operating model that supports growing demand without proportional resource increases.
Apply sound judgment on responsible AI use — data handling, accuracy validation, and appropriate human oversight — in line with company policies and guidelines.
What you bring to the role:
Experience & Education
Bachelor's degree (or equivalent combination of education and experience) required.
3+ years of functional experience, including a minimum of 1 year in a directly related role such as AI/automation enablement, business analysis, solutions consulting, process improvement, or platform operations.
Demonstrated, hands-on experience applying business AI tools (e.g., Microsoft Copilot, Claude, ChatGPT) and/or automation platforms (e.g., Power Automate) to real business workflows.
Track record of gathering requirements, documenting workflows, and partnering with technical teams to deliver solutions from concept through deployment.
Experience developing and delivering training or enablement programs strongly preferred.
Preferred: Active project or program management certification such as PMP®, CAPM®, PMI-ACP, or equivalent; AI, automation, or Power Platform certifications a plus.
Skills & Competencies
AI Fluency: Deep working knowledge of business AI solutions such as Microsoft Copilot and Claude, including practical prompt engineering, capability assessment, and knowing when (and when not) to apply AI to a workflow.
Process Analysis & Workflow Automation: Strong instinct for breaking down complex delivery workflows, identifying automation opportunities, and redesigning processes for intelligent execution.
Requirements Definition: Skilled at translating business needs into structured requirements, use cases, and BRDs that technical teams can deliver against.
Platform & Business Acumen: Ability to quickly develop deep familiarity with Xvantage™, the delivery lifecycle, and the broader Ingram Micro ecosystem.
Training & Enablement: Able to design and deliver engaging trainings, playbooks, and best-practice content that makes AI approachable for non-technical audiences.
Change Leadership: Proven ability to champion new tools and ways of working, build adoption momentum, and bring teams along with clarity and empathy.
Data-Driven Mindset: Comfortable defining metrics, measuring impact, and using data and AI-driven insights to inform prioritization and decision-making.
Responsible AI Judgment: Understanding of data privacy, accuracy validation, and appropriate human oversight when deploying AI in business processes.
Communication & Presentation: Polished written and verbal communicator; comfortable presenting AI concepts and solution results clearly to audiences from working teams to senior leadership.
Tooling Proficiency: Strong command of Microsoft 365 (Outlook, Word, Excel, PowerPoint, Teams, SharePoint); experience with Power Automate, Power Apps, Power BI, Jira, and Confluence preferred.
General proficiency with various tools, systems, and procedures required to accomplish the job.
A four-year college degree (or additional experience in a related field) and 3 years' functional experience including a minimum 1-year position specific experience.
Preferred: Completed project or program management certification including: Certified Project Manager (IAPM), Certified Associate in Project Management (CAPM) ®, Project Management Professional (PMP) ®, Agile Certified Practitioner (PMI-ACP), or other equivalents.
The ranges above reflect the potential annual base pay across the U.S. for all roles; the applicable base pay range will depend on the candidate’s primary work location, pay grade, and variable compensation plan. Individual base pay within each range depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time of hire. New hires starting base pay generally falls in the bottom half (between the minimum and midpoint) of a pay range.
At Ingram Micro certain roles are eligible for additional rewards, including merit increases, annual bonus or sales incentives and long-term incentives. These awards are allocated based on position level and individual performance. U.S.-based employees have access to healthcare benefits, paid time off, parental leave, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others.
This is not a complete listing of the job duties. It’s a representation of the things you will be doing, and you may not perform all these duties.
Please be prepared to pass a drug test and successfully pass a pre-employment (post offer) background check.
Ingram Micro Inc. is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected category under applicable law.
See All 61 AI Platform Engineer Jobs in New York
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Find AI Platform Engineer JobsAI Platform Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
AI Platform Engineer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
- Insurance
- Investment & Asset Management
- Banking & Financial Services
- Fintech
What New York Employers Look For
The qualifications that appear most often in AI platform engineer jobs across New York.
- Bachelor's or master's degree in computer science, engineering, or a closely related field
- Hands-on experience building and maintaining ML or AI infrastructure in production environments
- Proficiency with cloud platforms such as AWS, Google Cloud, or Azure for AI workloads
- Experience with MLOps tooling including Kubeflow, MLflow, or similar orchestration frameworks
- Strong programming skills in Python, with familiarity in Go or Java considered a plus
- Experience with containerization and orchestration technologies including Docker and Kubernetes
AI Platform Engineer Jobs in New York: Frequently Asked Questions
How do you become a ai platform engineer in New York?
There is no state-issued license required to work as an ai platform engineer in New York. The standard path is a bachelor's degree in computer science, software engineering, or a related field, followed by hands-on experience in cloud infrastructure or machine learning systems. New York employers, particularly in finance and enterprise technology, place strong weight on demonstrated production experience, relevant cloud certifications from AWS or Google, and a portfolio of ML infrastructure projects.
How much do AI platform engineers make in New York?
AI platform engineers in New York earn a median of about $116,990 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $59,740 for the lowest 10% to over $203,040 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai platform engineers in New York?
Employers hiring ai platform engineers in New York right now include JPMorganChase, New York Life, and GEICO, based on current listings on Migrate Mate as of August 2026. New York's concentration of financial services firms, large media companies, and enterprise technology organizations makes it one of the most consistent states for ai platform engineering roles year-round.
Which New York cities have the most ai platform engineer jobs?
New York, Buffalo, and New York City have the most ai platform engineer openings in New York. New York City dominates the distribution because of its density of financial institutions, global tech offices, and media companies that run large-scale AI infrastructure, while cities like Albany and Buffalo contribute openings driven by state government technology initiatives and regional healthcare systems investing in AI.
Are there remote ai platform engineer jobs in New York?
Yes, and more than most fields. AI platform engineering is primarily a desk-based, systems-focused discipline, which makes remote and hybrid arrangements common. About 52% of ai platform engineer openings tied to New York are remote or hybrid as of August 2026, reflecting broad employer acceptance of distributed infrastructure teams. Roles focused on cloud architecture, MLOps pipeline development, and model deployment tooling tend to be the most remote-friendly.
How can I get hired as a ai platform engineer in New York with little or no experience?
The most realistic entry path is securing a junior infrastructure or ML engineering role at a New York technology company or financial institution that runs a structured new-graduate program, such as the engineering rotational programs at firms like IBM or large financial services employers in New York City. Building a demonstrable portfolio of cloud and MLOps projects, earning an AWS or Google Cloud certification, and targeting roles titled junior platform engineer, associate ML engineer, or infrastructure engineer can all open the door without prior production experience.
Where can I find and apply to ai platform engineer jobs in New York?
You can find and apply to ai platform engineer jobs in New York on Migrate Mate, which lists current openings across the state. Search the available roles, find the ones that fit your background and location, and apply directly to each position.
See All 61 AI Platform Engineer Jobs in New York
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