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Ai Solutions Engineer Jobs in Rochester, NY (NOW HIRING)

MegazoneCloud

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 ... Lead and grow a multidisciplinary team of engineers and data scientists, acting as a "force ...

Megazone Cloud US

Sr. Solutions Architect AI

Rochester, NY · On-site

$150 - $200/hr

Who We're Looking For Megazone Cloud is looking for a Director of AI & Databricks Solutions to be a ... Lead and grow a multidisciplinary team of engineers and data scientists, acting as a "force ...

New

Pwc

US Tech - AI Engineering Manager

Rochester, NY · On-site

$73K - $244K/yr

Responsibilities - Mentor junior engineers and foster their growth - Maintain security and scalability of AI-powered solutions - Collaborate with cross-functional teams to achieve project goals ...

Pwc

CTIO AI Engineering Manager

Rochester, NY · On-site

$73K - $244K/yr

... robust data solutions for clients. They play a crucial role in transforming raw data into ... in AI engineering or related field What Sets You Apart - Master's Degree in Computer Engineering ...

Pwc

NGA AI Engineer Manager

Rochester, NY · On-site

$73K - $244K/yr

The Opportunity As part of the Data and Analytics Engineering team you will lead the development of innovative AI solutions that drive remarkable client outcomes. As a Manager you will supervise ...

Pwc

AI Engineer

Rochester, NY · On-site

$55K - $187K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... solutions at scale. As a Senior Associate, you will leverage your skills to analyze complex ...

CaterTrax, Inc.

Senior Agentic AI Engineer

Rochester, NY · On-site

$103K - $141K/yr

The Senior Agentic AI Engineer is the operational owner of the Constituent Data Layer (CDL) and the ... The role partners with the Director of Strategic Solutions on Brief-to-agent translation, with the ...

CaterTrax

Senior Agentic AI Engineer

Rochester, NY · On-site

$103K - $141K/yr

The Senior Agentic AI Engineer is the operational owner of the Constituent Data Layer (CDL) and the ... The role partners with the Director of Strategic Solutions on Brief-to-agent translation, with the ...

New

Mindex

Engineering Lead

Rochester, NY · On-site

$105K - $155K/yr

Mindex is looking for a CT-MTSS Engineering Lead to lead the engineering team responsible for our ... AI solutions. We combine deep technical expertise with a collaborative culture that empowers our ...

New

L3HHCM20

Specialist, Application Developer

Rochester, NY · On-site

$92K - $171K/yr

Implement AI solutions for classification, prediction, natural language processing, and computer ... Strong programming skills and experience with at least one modern programming language (Python ...

Mindex

Engineering Lead

Rochester, NY · On-site

$105K - $155K/yr

Mindex is looking for a CT-MTSS Engineering Lead to lead the engineering team responsible for our ... AI solutions. We combine deep technical expertise with a collaborative culture that empowers our ...

New

Mindex

Engineering Lead

Rochester, NY · On-site

$105K - $155K/yr

Mindex is looking for a CT-MTSS Engineering Lead to lead the engineering team responsible for our ... AI solutions. We combine deep technical expertise with a collaborative culture that empowers our ...

New

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Showing results 21-40

All JobsAi Solutions Engineer JobsAi Solutions Engineer Jobs in Rochester, NY

Ai Solutions Engineer information

See Rochester, NY salary details

$43.9K

$121.6K

$179.1K

How much do ai solutions engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai solutions engineer in Rochester, NY is $121,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $138,600.00 per year, depending on experience, location, and employer.

How does an AI Solutions Engineer typically collaborate with cross-functional teams during a project lifecycle?

AI Solutions Engineers frequently work alongside data scientists, software developers, product managers, and business stakeholders throughout a project's lifecycle. Their role involves translating business requirements into technical AI solutions, integrating models into existing systems, and ensuring seamless deployment. Regular communication and collaboration are essential, as they often lead technical discussions, clarify project goals, and address implementation challenges. This cross-functional teamwork fosters innovation and ensures that AI solutions are practical, scalable, and aligned with business objectives.

What are the key skills and qualifications needed to thrive as an AI Solutions Engineer, and why are they important?

To thrive as an AI Solutions Engineer, you need a strong background in computer science, machine learning, and data analytics, typically supported by a relevant degree and experience with AI frameworks. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, Azure, or GCP), and proficiency in programming languages like Python are essential, along with certifications in AI or cloud technologies. Excellent problem-solving, communication, and teamwork skills help you translate business needs into technical solutions and collaborate across departments. These competencies ensure effective development, deployment, and integration of AI solutions that drive business value.

What is an AI Solutions Engineer?

AI Solutions Engineers are professionals who design, develop, and implement artificial intelligence-based systems and applications to solve business problems. They bridge the gap between AI research and practical deployment, working closely with data scientists, software engineers, and business stakeholders. Their responsibilities often include creating AI models, integrating them into products or workflows, and ensuring these solutions are scalable, reliable, and aligned with organizational goals.

What is the difference between Ai Solutions Engineer vs Data Scientist?

AspectAi Solutions EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI/ML toolsBachelor's or higher in CS, Statistics, or related; strong statistical and programming skills
Work EnvironmentDevelops AI solutions, collaborates with engineering teams, implements models in productionAnalyzes data, builds models, interprets results for insights
Employer & Industry UsageTech companies, AI-focused firms, startupsResearch institutions, tech companies, finance, healthcare

While both roles involve AI and data, Ai Solutions Engineers focus on deploying AI solutions in production environments, working closely with engineering teams. Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their focus on implementation versus analysis.

What are popular job titles related to Ai Solutions Engineer jobs in Rochester, NY? For Ai Solutions Engineer jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Ai Solutions Engineer jobs in Rochester, NY look for? The top searched job categories for Ai Solutions Engineer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Ai Solutions Engineer jobs? Cities near Rochester, NY with the most Ai Solutions Engineer job openings:
Ai Solutions Engineer jobs near you
Infographic showing various Ai Solutions Engineer job openings in Rochester, NY as of July 2026, with employment types broken down into 82% Full Time, 6% Part Time, and 12% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $121,695 per year, or $58.5 per hour.

Sr. Solutions Architect AI

MegazoneCloud

Rochester, NY • On-site

$170K - $195K/yr

Full-time

Re-posted 16 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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