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Generative Ai Developer Jobs in Enfield, NH (NOW HIRING)

... AI) tools and generative technologies into daily work responsibilities to optimize administrative ... and educational programming. * Project management certification such as PMP or CAPM is highly ...

... AI) tools and generative technologies into daily work responsibilities to optimize administrative ... programming. * Project management certification such as PMP or CAPM is highly desirable. Equal ...

Generative Ai Developer information

See Enfield, NH salary details

$19

$46

$103

How much do generative ai developer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for generative ai developer in Enfield, NH is $46.50, according to ZipRecruiter salary data. Most workers in this role earn between $24.18 and $56.25 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.
Infographic showing various Generative Ai Developer job openings in Enfield, NH as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, and 6% Contract. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution, with an average salary of $96,718 per year, or $46.5 per hour.

Cloud Engineer

New London, NH • On-site

Tata Consultancy Service Limited
IT Services • 10K+ employees

$150K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Must Have Technical/Functional Skills
  • Cloud Security Architecture (AWS, Azure, GCP)
  • AI/ML Security and Generative AI Security
  • Secure Design and Implementation of AI-driven Cloud Solutions
  • Cloud Infrastructure Security and Hardening
  • Identity & Access Management (IAM)
  • Zero Trust Security Architecture
  • Risk Assessment and Threat Modeling
  • Vulnerability Management and Security Testing
  • Security Incident Detection, Response, and Investigation
  • Data Security, Privacy, Encryption, and Key Management
  • DevSecOps and Secure Software Development Lifecycle (SSDLC)
  • Container Security (Docker, Kubernetes)
  • Cloud Security Posture Management (CSPM)
  • Security Monitoring using SIEM/SOAR Platforms
  • Regulatory Compliance and Security Governance
  • AI Model Security, Adversarial AI, and Prompt Injection Risk Mitigation
  • Security Policy Development and Enforcement
  • Security Audits and Compliance Assessments
  • Threat Intelligence and Cyber Threat Analysis
  • Secure AI/ML Pipeline and MLOps Security

Roles & Responsibilities
  • Design and implement security strategies for cloud-based AI systems
  • Conduct risk assessments and vulnerability analyses on AI models and cloud infrastructure
  • Develop and enforce security policies, standards, and best practices for AI and cloud environments
  • Monitor and respond to security incidents involving AI and cloud platforms
  • Collaborate with engineering teams to integrate security controls into AI workflows
  • Lead security audits and compliance reviews for cloud-based AI solutions
  • Evaluate and recommend security tools and technologies for AI and cloud applications
  • Train and mentor staff on AI security awareness and secure development practices
  • Stay current with emerging threats, vulnerabilities, and advancements in AI and cloud security
  • Report on security metrics, incidents, and improvements to senior leadership

TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Aut& Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
#LI-KR3
Salary Range-$150,000-$180,000 a year

What Tata Consultancy Services employees say

Pay

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US