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Generative Ai Developer Jobs in Springville, NY (NOW HIRING)

AI, Data Innovation & Emerging Technologies * Define how Artificial Intelligence and Generative AI capabilities are incorporated into the Bank's data engineering ecosystem. * Partner with business ...

AI, Data Innovation & Emerging Technologies * Define how Artificial Intelligence and Generative AI capabilities are incorporated into the Bank's data engineering ecosystem. * Partner with business ...

... engineering, modernization, data, AI, and platform-related challenges when needed. This is not a ... Drive the adoption and integration of Artificial Intelligence and Generative AI capabilities across ...

... engineering, modernization, data, AI, and platform-related challenges when needed. This is not a ... Drive the adoption and integration of Artificial Intelligence and Generative AI capabilities across ...

Leads the integration of generative, agentic, and predictive AI across digital experiences, personalization, self-service, and operational workflows, while scaling AI-assisted engineering to ...

Leads the integration of generative, agentic, and predictive AI across digital experiences, personalization, self-service, and operational workflows, while scaling AI-assisted engineering to ...

Leads the integration of generative, agentic, and predictive AI across digital experiences, personalization, self-service, and operational workflows, while scaling AI-assisted engineering to ...

Software Engineer - The Digital Architect of Safety The Mission: Save Brains At KAV, you will use ... Work at the literal frontier of advanced manufacturing, AI, and generative design. * Impact: Your ...

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Generative Ai Developer information

See Springville, NY salary details

$16

$40

$89

How much do generative ai developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for generative ai developer in Springville, NY is $40.34, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $48.80 per hour, depending on experience, location, and employer.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

What cities near Springville, NY are hiring for Generative Ai Developer jobs?

Cities near Springville, NY with the most Generative Ai Developer job openings:

Infographic showing various Generative Ai Developer job openings in Springville, NY as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $83,910 per year, or $40.3 per hour.

Data Architect, Google Cloud Platform (GCP)

West Monroe

Boston, NY โ€ข Hybrid

$60.25 - $77.50/hr

Full-time

Posted 2 days ago

New


Job description

West Monroe is seeking a Data Architect, Google Cloud Platform (GCP) to design and deliver scalable, cloud-based data solutions for our clients. As a technical delivery leader, you will guide engineering teams, advise client stakeholders, and help shape data modernization solutions that deliver measurable business value.ย 

What You Will DoClient Delivery
  • Architect scalable, secure, and high-performing data platforms on GCP, with BigQuery as a core analytics and data warehousing technology.
  • Lead technical design across data ingestion, transformation, storage, modeling, governance, orchestration, and consumption.
  • Design BigQuery data models, optimization strategies, and architectures that balance performance, scalability, security, and cost.
  • Guide engineering teams through technical specifications, design execution, testing, and implementation while maintaining delivery quality.
  • Advise clients on modernizing legacy data platforms and migrating data workloads to GCP.
  • Leverage AI tools to accelerate analysis, synthesize complex information, and support data-driven recommendations for clients, exercising sound judgment in evaluating outputs.
  • Apply AI technologies (e.g., generative AI, automation tools, data models) to enhance insights, improve delivery efficiency, and elevate the quality of client outcomes.
Business Development
  • Serve as a technical subject matter expert in pursuits involving GCP, BigQuery, cloud data modernization, analytics, and AI.
  • Translate client challenges into solution architectures, estimates, technical approaches, and proposal content.
  • Identify opportunities to expand data and cloud solutions within existing client relationships.
Practice Development
  • Develop reusable reference architectures, accelerators, standards, and delivery methodologies for GCP and BigQuery.
  • Share technical expertise and mentor colleagues to strengthen cloud data architecture and engineering capabilities.
  • Stay current on Google Cloud capabilities and emerging data, analytics, and AI technologies.
What You Will Bring
  • 7+ years of experience in data engineering, data architecture, cloud architecture, or related technology roles, including experience delivering enterprise data solutions.
  • Deep hands-on expertise with Google Cloud Platform and BigQuery, including data modeling, performance optimization, security, and cost management.
  • Experience with relevant GCP data services such as Cloud Storage, Dataflow, Dataproc, Pub/Sub, Cloud Composer, or Dataform.
  • Experience designing batch and/or streaming data pipelines and modern cloud data architectures.
  • Strong knowledge of SQL, data modeling, ETL/ELT patterns, data governance, and data quality practices.
  • Ability to communicate architecture decisions and tradeoffs to both technical teams and business stakeholders.
  • Google Cloud Professional Data Engineer or Professional Cloud Architect certification preferred.
  • Experience integrating AI tools (e.g., ChatGPT) into day-to-day workflows to enhance productivity and insight generation, coupled with strong critical thinking to assess accuracy, mitigate bias, and ensure high-quality outputs.
  • Hybrid role: 2x per week in office
  • Frequent travel to New York City for client work (every other week)
  • Ability to work permanently in the United States without sponsorship.