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Ai Implementation Jobs in Rochester, NY (NOW HIRING)

Pwc

CTIO AI Engineering Manager

Rochester, NY · On-site

$73K - $244K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging

Pwc

CTIO - AI Architect - Senior Manager

Rochester, NY · On-site

$91K - $321K/yr

Industry/Sector Not Applicable Specialism IFS - Internal Firm Services - Other Management Level Senior Manager Job Description & Summary The Opportunity As a CTIO - AI Architect - Senior Manager, you

Lovingly

Senior Next.js Engineer

Hopewell, NY · On-site

$123K - $163K/yr

Who We Are At Lovingly, we're redefining the gifting experience by combining AI-driven technology with deep human connection. We support over 1,500 independent florists, ensuring every gift is

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Ai Implementation information

See Rochester, NY salary details

$38.5K

$102.1K

$165.8K

How much do ai implementation jobs pay per year?

As of Sep 13, 2026, the average yearly pay for ai implementation in Rochester, NY is $102,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $119,400.00 per year, depending on experience, location, and employer.

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

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

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

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

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

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Ai Implementation jobs near you
Infographic showing various Ai Implementation job openings in Rochester, NY as of September 2026, with employment types broken down into 1% Internship, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $102,138 per year, or $49.1 per hour.

Sr. Solutions Architect AI

Rochester, NY • On-site

Megazone Cloud US
See more jobs at Megazone Cloud USexternal

Other

Re-posted 9 days ago

Job description

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 CTO, you are a "builder" at heart—equally comfortable in the code as you are in the boardroom—but your primary focus is on strategy, design, and the ethical governance of AI.

You thrive on solving ambiguous, high-stakes business problems and designing the end-to-end technical solutions that solve them. As a key client-facing expert, you will lead technical discovery, set the GenAI strategy, and guide our teams to execute a clear vision. You are a master of the Databricks ecosystem and the leading Cloud Service Providers (CSPs).

What You’ll Do

  • Lead Technical Strategy & Design: Architect and oversee the implementation of enterprise-scale AI/ML and GenAI platforms across AWS, Azure, GCP, and Databricks.

  • Be the Client-Facing Expert: Lead discovery workshops to surface high-impact use cases, translate complex business requirements into architectural roadmaps, and present ROI models to executive stakeholders.

  • Architect the Future: Design reference architectures on Databricks covering data pipelines, feature stores, model training, vector databases, and real-time inference.

  • Own the Ecosystem: Drive strategic relationships with AWS, Azure, GCP, and Databricks, ensuring our offerings leverage the latest innovations in GenAI and MLOps.

  • Set the Standard: Define best practices for responsible AI, data quality, and security, serving as the final point of escalation for complex technical challenges.

  • Mentor and Multiply: Lead and grow a multidisciplinary team of engineers and data scientists, acting as a "force multiplier" through technical guidance and design reviews.

  • Market Leadership: Represent Megazone Cloud at industry conferences, publish white papers, and position the firm as a premier leader in applied-AI innovation.

What You Bring (Requirements)

  • Professional Experience: 8-12+ years of experience in data science, AI, and data ecosystems, with at least 5 years leading cross-functional technical teams.

  • Databricks Mastery: Deep, hands-on expertise with the Databricks stack and a proven track record of integrating Databricks into complex client environments.

  • Cloud Architecture: 2+ years of progressive experience in cloud architecture or solutions engineering across AWS, Azure, or GCP.

  • Strategic Leadership: Proven ability to build, manage, and mentor technical teams while managing multi-faceted projects.

  • C-Suite Excellence: Exceptional skills in presenting to executive audiences and translating business needs into technical designs.

  • Educational Foundation: Bachelor’s degree in Computer Science, Data Science, or a related field (Master’s or PhD preferred).

  • A "Builder" Mindset: A startup mentality, a strategic approach to problem-solving, and a genuine thirst for knowledge.

Bonus Points (Nice-to-Haves)

  • Relevant high-level certifications (e.g., Databricks Machine Learning Professional, AWS ML Specialty, Azure AI Engineer, or Google Professional ML Engineer).

  • Experience in a Professional Services or consulting environment.

Why You’ll Love It Here

  • Our Product is Our People: We live by this. We invest in people who invest in themselves. Your growth is our growth.

  • True Servant Leadership: Our CTO leads with a "force multiplier" philosophy. Management is here to empower you and clear roadblocks, not to micromanage. We won't ask you to do anything we're not willing to do ourselves.

  • Flat Organization, Real Impact: Your voice and designs will directly shape our technical roadmap and our clients' success. You'll work on the latest tech to solve real problems.

  • A "Learn-from-it" Culture: We're moving fast and building new things. We believe mistakes are learning opportunities, not failures.

We seek diverse talent who are ready to make an immediate impact. We believe that innovation thrives when teams are built with a variety of backgrounds, experiences, and perspectives. If you are excited by this mission, we encourage you to apply, even if your experience doesn't perfectly match every qualification listed.

Megazone Cloud is an Equal Opportunity Employer and participates in E-Verify to confirm the employment eligibility of all new hires.

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