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Ai Manager Jobs in Rochester, NY (NOW HIRING)

... end AI applications integrated into various platforms - Managing CI/CD pipelines for AI systems using GitHub Actions - Implementing vector databases and orchestration tools like LangChain ...

As a Manager you will combine engineering knowledge with people leadership to deliver resilient platforms that integrate cloud infrastructure, conversational AI, data, and enterprise systems. This ...

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Management, and Insurance Planning. Advantages of contracting with us: * You'll be able to choose ...

AI Engineer

Rochester, NY · On-site

$50K - $112K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level Associate & Summary The Opportunity As an AI Engineer, you will be at the forefront of transforming raw ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... and appendix management. * Evaluate scientific accuracy in narrative sections such as efficacy ...

ERP AI Engineer - Manager

Rochester, NY · On-site

$99K - $232K/yr

As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships, and translate complex business challenges into AI-driven strategies and solutions. This role offers ...

AI Governance, Reliability, and Risk Management - Ensure AI solutions meet security, compliance, governance, monitoring, reliability, and operational readiness standards while supporting responsible ...

Sr. AI FDE

Rochester, NY · On-site

$54.50 - $70.25/hr

... change management -- build golden-path templates, enablement assets, and team workflows so AI solutions and tools are genuinely used, not merely delivered. • Define and instrument success ...

Sr. AI FDE

Rochester, NY · On-site

$54.50 - $70.25/hr

... change management -- build golden-path templates, enablement assets, and team workflows so AI solutions and tools are genuinely used, not merely delivered. • Define and instrument success ...

Sr. AI FDE

Rochester, NY · On-site

$145K - $165K/yr

As an AI Forward Deployed Engineer (FDE) , you embed directly with global clients to drive the ... Management is here to empower you and clear roadblocks, not to micromanage. We won't ask you to do ...

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Showing results 1-20

Ai Manager information

See Rochester, NY salary details

$22.4K

$96.4K

$181.8K

How much do ai manager jobs pay per year?

As of Aug 17, 2026, the average yearly pay for ai manager in Rochester, NY is $96,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,405.00 and $133,186.00 per year, depending on experience, location, and employer.

What does an AI manager do?

An AI Manager oversees the development, implementation, and optimization of artificial intelligence solutions within an organization. They lead AI teams, manage projects, and ensure alignment with business goals while addressing technical and ethical concerns. AI Managers collaborate with data scientists, engineers, and executives to drive innovation and improve operational efficiency. They also stay updated on industry trends and advancements to leverage AI effectively.

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

To thrive as an AI Manager, you need a strong background in computer science, machine learning, project management, and proven experience leading AI initiatives, often supported by a relevant degree or industry certifications. Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, cloud platforms, and knowledge of data governance and MLOps is commonly required. Excellent leadership, problem-solving, and communication skills help AI Managers effectively coordinate cross-functional teams and translate business objectives into actionable AI solutions. These competencies are essential for successfully driving AI projects from conception to deployment while aligning with organizational goals.

What types of teams or departments does an AI manager typically collaborate with?

AI Managers work closely with data scientists, software engineers, product managers, and business stakeholders to ensure AI projects align with company objectives. They often coordinate with IT teams for infrastructure requirements, as well as legal and compliance teams regarding data privacy and ethical AI practices. Close collaboration with these groups helps deliver robust and scalable AI solutions, fostering a multidisciplinary approach that enhances project success. By acting as a bridge between technical and non-technical teams, AI Managers ensure that business needs are clearly understood and translated into effective AI strategies.

How do you become an AI manager?

To become an AI manager, candidates typically need a strong background in computer science, data science, or related fields, along with experience in AI and machine learning projects. Developing skills in programming languages like Python, understanding AI tools and frameworks, and obtaining relevant certifications can enhance qualifications. Leadership and project management skills are also important for overseeing AI teams and initiatives.

How much does an AI manager make?

An AI manager's salary typically ranges from $100,000 to $180,000 annually, depending on experience, location, and industry. Senior AI managers with specialized skills in machine learning and data analysis can earn higher compensation, often supplemented with bonuses and stock options.

What is the role of an AI manager?

An AI manager oversees the development, implementation, and maintenance of artificial intelligence projects within an organization. They coordinate teams of data scientists and engineers, ensure project goals align with business objectives, and often require knowledge of machine learning tools and programming languages. Their role involves strategic planning, resource management, and ensuring ethical AI practices.

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 are popular job titles related to Ai Manager jobs in Rochester, NY?

For Ai Manager jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Ai Manager jobs in Rochester, NY look for?

The top searched job categories for Ai Manager jobs in Rochester, NY are:

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

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

Infographic showing various Ai Manager job openings in Rochester, NY as of August 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 70% In-person, 10% Hybrid, and 20% Remote job distribution, with an average salary of $96,434 per year, or $46.4 per hour.

AI Solutions Design Manager - Hybrid

Mindex

Rochester, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago


Job description

Mindex is looking for an AI Solutions Design Manager to lead the strategy, design, and delivery of AI and Generative AI solutions that solve real business challenges and improve operational performance. This role blends hands-on technical expertise with strategic leadership - you'll guide cross-functional teams to identify high-value opportunities, architect scalable AI/GenAI systems, and drive successful adoption across the organization.
You'll be equally comfortable setting direction at the roadmap level and getting into the weeds on solution architecture, model selection, and RAG/agent design - while also serving as a trusted advisor who can translate complex AI concepts into language business leaders can act on.
Compensation
$160,000 - $180,000, plus a 20% bonus based on company performance goals.
What You'll Accomplish
Strategy & Innovation
  • Develop and maintain an AI/GenAI vision and roadmap aligned to business goals, identifying high-value use cases across business units.
  • Evaluate emerging AI technologies - LLMs, copilots, multimodal models, autonomous agents, automation platforms - and recommend practical, prioritized applications.
  • Establish standards and reusable design patterns for prompt engineering, model tuning, and GenAI solution architecture.

Solution Architecture & Delivery
  • Lead end-to-end design of AI/ML and GenAI solutions from concept to production, translating business requirements into technical specifications, data flows, and architectures.
  • Architect GenAI-powered applications such as chatbots, copilots, summarization engines, and content-generation workflows.
  • Oversee development of reusable GenAI components - prompt libraries, embeddings, vector search, knowledge models, and RAG systems - and guide model selection and fine-tuning decisions.
  • Partner with data engineering and IT teams to ensure solutions are scalable, maintainable, and meet enterprise standards for security, privacy, and governance.

Project & Team Leadership
  • Manage the AI/GenAI project portfolio, including scoping, planning, resourcing, and execution.
  • Lead cross-functional teams of data scientists, engineers, analysts, and business stakeholders through agile delivery cycles.
  • Serve as a trusted advisor to business leaders on AI capabilities, risks, and best practices, and support change management for organization-wide adoption.

Governance & Responsible AI
  • Ensure AI/GenAI solutions meet ethical, fairness, privacy, and regulatory standards, including content filtering, hallucination mitigation, and usage guardrails.
  • Define acceptable-use policies and risk frameworks for internal GenAI tools, and maintain documentation, monitoring, and lifecycle management processes.
  • Oversee adoption and governance of enterprise GenAI platforms (Microsoft 365 Copilot, Azure OpenAI, GitHub Copilot, etc.) in partnership with security and infrastructure teams.

Enablement & Operationalization
  • Develop training programs on responsible AI/GenAI usage and coach teams on effective prompt engineering and human-in-the-loop workflows.
  • Define KPIs to measure GenAI performance and business value, and monitor for model drift, usage patterns, hallucination rates, and user satisfaction.
  • Lead continuous improvement cycles for AI/GenAI systems based on data-driven insights.

Requirements
  • Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, Data Science, or a related field.
  • 7+ years of experience in AI/ML, data analytics, or software engineering, including 3+ years leading technical teams or designing enterprise AI solutions.
  • Strong understanding of machine learning, LLMs, NLP, deep learning, and automation technologies.
  • Hands-on experience with modern AI platforms (Azure ML, Databricks, OpenAI, AWS, etc.).
  • Proven ability to translate business needs into scalable technical solutions.
  • Strong leadership, communication, and stakeholder engagement skills.

Preferred
  • Experience deploying enterprise GenAI or LLM-based applications.
  • Cloud certifications (Azure, AWS, GCP).
  • Experience with MLOps, RAG, vector databases, and prompt engineering.
  • Previous leadership experience across hybrid technical/business teams.

Success Indicators
  • Delivery of AI/GenAI solutions with measurable business impact.
  • Strong adoption and satisfaction across business teams.
  • Advancement of organizational AI maturity and literacy.
  • Demonstrated innovation and ROI from AI-enabled transformation.

Benefits
  • Hybrid
  • Medical, Dental, and Vision Insurance
  • 401(k) with Company Match
  • Company-Paid Life and Disability Insurance
  • Professional Development Opportunities

Additional Information
  • Applicants must be authorized to work for any employer in the United States. Mindex is unable to sponsor employment visas at this time.

Physical Requirements/Conditions
  • Prolonged periods sitting at a desk and working on a computer.
  • No heavy lifting is expected. Exertion of up to 10 lbs.