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Ai Director Jobs in Rochester, NY (NOW HIRING)

... AI. Preferred Qualifications * Minimum 5 years of regulatory medical writing experience at a sponsor, CRO, or as an independent consultant. * Direct experience independently authoring or leading the ...

... AI. Preferred Qualifications * Minimum 5 years of regulatory medical writing experience at a sponsor, CRO, or as an independent consultant. * Direct experience independently authoring or leading the ...

Accountant - Remote

Rochester, NY · Remote

$20 - $30/hr

Direct experience reviewing or validating AI or technology-driven tax content. * Background in training teams or giving written feedback on legal/tax language. * Interest in the intersection of ...

Direct experience reviewing or validating AI or technology-driven tax content. * Background in training teams or giving written feedback on legal/tax language. * Interest in the intersection of ...

AI Solutions Engineering Delivery Lead

Rochester, NY · On-site

$101K - $133K/yr

... Director & Summary At PwC, our people in data and analytics engineering focus on leveraging ... The Opportunity : The AI Solutions Engineering Delivery Lead will oversee multiple ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Preferred Qualifications * 5+ years of direct regulatory affairs experience at a sponsor, CRO, or ...

Compliance Officers

Rochester, NY · Remote

$50 - $70/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Preferred Qualifications * 5+ years of direct regulatory affairs experience at a sponsor, CRO, or ...

Sr. Solutions Architect AI

Rochester, NY · On-site

$170K - $195K/yr

Who We're Looking For Megazone Cloud is looking for a Director of AI & Databricks Solutions to be a chief designer of our AI practice and a technical authority for our clients. Reporting directly to ...

Who We're Looking For Megazone Cloud is looking for a Director of AI & Databricks Solutions to be a chief designer of our AI practice and a technical authority for our clients. Reporting directly to ...

The Opportunity As part of the People Tech & AI team you will lead the design, build, and operation ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

Showing results 21-40

Ai Director information

See Rochester, NY salary details

$22.4K

$110.4K

$192.1K

How much do ai director jobs pay per year?

As of Aug 22, 2026, the average yearly pay for ai director in Rochester, NY is $110,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,499.00 and $142,999.00 per year, depending on experience, location, and employer.

What does an AI Director do?

An AI Director oversees the development and implementation of artificial intelligence strategies within an organization or project. Their responsibilities include managing AI teams, setting project goals, ensuring ethical AI practices, and integrating AI technologies to meet business objectives. They often collaborate with data scientists, engineers, and other stakeholders to drive innovation and solve complex problems using AI solutions.

What are the key skills and qualifications needed to thrive as an AI Director?

To thrive as an AI Director, you need deep expertise in artificial intelligence, machine learning, and data science, typically supported by an advanced degree in computer science or related fields. Familiarity with AI frameworks (like TensorFlow or PyTorch), cloud platforms, and experience managing large-scale AI projects are crucial, as are certifications in relevant technologies. Strong leadership, strategic thinking, and communication skills help drive cross-functional teams and align AI initiatives with business objectives. These abilities ensure the successful development, deployment, and adoption of AI solutions that deliver real business value.

How does an AI Director typically collaborate with cross-functional teams in an organization?

An AI Director works closely with various departments such as engineering, product management, data science, and executive leadership to align AI initiatives with business goals. Collaboration often involves leading strategy sessions, setting project priorities, and ensuring technical teams have the resources and guidance needed to deliver on objectives. Effective communication is key, as the AI Director must translate complex technical concepts into business value and coordinate efforts across multiple stakeholders. Regular meetings and progress reviews help maintain alignment and address challenges proactively.

What is the difference between Ai Director vs Data Scientist?

AspectAi DirectorData Scientist
Required CredentialsAdvanced degrees in AI, computer science, or related fields; leadership experienceBachelor's or master's in data science, statistics, or related fields; strong programming skills
Work EnvironmentOversees AI projects, manages teams, collaborates with executivesAnalyzes data, builds models, reports findings, often works independently or in small teams
Employer & Industry UsageTech companies, AI startups, large enterprises implementing AI strategiesTech firms, finance, healthcare, research institutions

While both roles involve working with data and AI, the Ai Director focuses on strategic oversight, leadership, and managing AI initiatives, whereas the Data Scientist concentrates on data analysis, model development, and technical implementation.

How to become a director of AI?

To become a director of AI, candidates typically need a strong background in computer science, machine learning, or data science, often with a master's or doctoral degree. Relevant experience includes leading AI projects, managing teams, and proficiency with AI tools and frameworks such as TensorFlow or PyTorch. Developing leadership skills and a strategic understanding of AI applications are also essential for this senior role.

What are the most commonly searched types of Ai jobs in Rochester, NY?

The most popular types of Ai jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Ai Director jobs?

Cities near Rochester, NY with the most Ai Director job openings:

Director, Customer Experience

HHA eXchange

Farmington, NY • On-site

Other

Medical, Retirement, PTO

Posted 19 days ago


Job description

Director Of Customer Experience

HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states.

The Director of Customer Experience will own the strategy, architecture, and execution of a fully automated, AI-powered engagement model designed to drive product adoption at scale across our customer base and products. Reporting to the VP of Customer Experience, this role sits at the intersection of strategy, technology, and operations. You will design the systems and own the outcomes — from first-touch onboarding sequences to automated risk intervention, QBR delivery, and everything in between. This is a player-coach role: you will lead a team and be expected to roll up your sleeves on tooling, workflow builds, and data analysis.

This is a hybrid position, 3x a week in-office at our New York City office location.

To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Tech-Touch CS Program Design & Scaling
  • Architect and build the end-to-end tech-touch CS program for the SMB segment — define the engagement and adoption model, tooling stack, automation logic, and success criteria.
  • Design tiered engagement strategies that account for customer lifecycle stage, product usage patterns, and business profile — without relying on high-touch human intervention for routine moments.
  • Partner with Technical Customer Care to design and implement the operating model for how automated and human-assisted engagement intersect, including clear hand-off criteria and escalation paths.
Agentic AI Workflows & Automated Engagement
  • Build and manage agentic AI workflows that trigger personalized engagement nudges across email, in-app messaging, and chat based on real-time behavioral signals.
  • Deploy automated outreach sequences that respond dynamically to product usage data — surfacing the right message, at the right moment, through the right channel.
  • Implement AI-assisted outbound calling workflows that prioritize accounts by risk or opportunity and equip agents with contextual next-best-action guidance.
Personalized Onboarding & Adoption Journeys
  • Design just-in-time adoption experiences that adapt to a customer's role, use case, and activation stage — delivering the right training content when and where they need it.
  • Build automated learning pathways that progress customers from initial setup through advanced feature adoption, with progress tracked and insights surfaced to leadership.
  • Partner with the education and training teams to ensure content is structured for automated delivery and continuously updated based on product updates and adoption data.
Account Health, Risk Monitoring & Intervention
  • Develop and maintain a health scoring model that synthesizes product usage, engagement signals, support volume, and billing behavior into automated campaigns that drive adoption.
  • Build AI-powered risk flagging workflows that identify churn precursors — disengagement patterns, missed milestones, usage drops — and trigger automated intervention before risk escalates.
  • Define and implement automated hand-off protocols that route at-risk accounts to human CS or support teams when risk thresholds are breached, with full context packaged for the receiving team.
Automated QBRs & AI-Generated Recommendations
  • Design and deploy automated QBR delivery for the SMB segment — generating account-level performance summaries, adoption benchmarks, and AI-drafted next-step recommendations without requiring manual preparation.
  • Build the data pipelines and AI prompting logic needed to produce QBR outputs that are specific, actionable, and credible to the customer.
KPI Framework & Performance Measurement
  • Design the KPI framework — defining the metrics that matter (adoption rates, time-to-value, health score distribution, automated intervention outcomes, churn rate by cohort) and how they are tracked and reported.
  • Build and maintain dashboards that give leadership a clear, real-time view of program performance and allow the team to identify optimization opportunities quickly.
  • Establish a continuous testing and iteration cadence for engagement sequences, health score logic, and automation workflows.

Other Job Duties

  • Other duties as assigned by supervisor or HHAeXchange leader.

Travel Requirements

  • Travel 10-25%, including overnight travel.

Required Education, Experience, Certifications and Skills

  • Proven track record building a tech-touch or digital CS program from zero: you have stood up the tooling, designed the logic, launched the sequences, and measured the outcomes — not inherited a running system.
  • Deep, hands-on experience with agentic AI tools and workflow automation platforms (e.g., Gainsight, Totango, Intercom, Salesloft, Zapier, Make, or similar) — not as an end user, but as a builder.
  • Direct experience orchestrating multi-channel customer engagement across email, in-app messaging, and chat, with an understanding of how channel, timing, and content interact to drive behavior.
  • Strong analytical foundation: you can construct a health score from raw data, read churn signals in a cohort analysis, and translate both into program decisions without needing a data analyst to interpret for you.
  • Experience building and maintaining KPI dashboards and reporting frameworks that are used in real operational decisions — not just created for a QBR slide.
  • Player-coach capability: you have managed a team of CS, operations, or program managers and can also execute individually when the work demands it.

The base salary range for this US-based, full-time, and exempt position is $170,000 - $180,000, not including variable compensation. An employee's exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values.

This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs.

HHAeXchange is an equal-opportunity employer. The Company offers employment opportunities to all applicants and employees without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law.