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How much do gen ai developer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for gen ai developer in Bothell, WA is $50.63, according to ZipRecruiter salary data. Most workers in this role earn between $26.35 and $61.25 per hour, depending on experience, location, and employer.

What is a Gen AI developer?

A Gen AI Developer is a professional who designs, builds, and deploys applications using generative artificial intelligence models, such as large language models (LLMs) or image generators. They work with AI frameworks and APIs to create solutions that can generate text, images, code, or other content based on user input. Gen AI Developers often need skills in programming, machine learning, and prompt engineering, and they play a key role in building innovative AI-powered applications across various industries.

What are the key skills and qualifications needed to thrive as a Gen AI developer, and why are they important?

To thrive as a Gen AI Developer, you need a strong background in computer science, machine learning, and deep learning frameworks, often supported by a degree in a related field. Proficiency with tools such as Python, TensorFlow or PyTorch, and experience with cloud platforms like AWS or Azure, as well as relevant certifications, are commonly required. Critical thinking, creativity, and effective communication are essential soft skills for solving complex problems and collaborating with cross-functional teams. These competencies are vital for developing innovative AI solutions that drive business value and maintain technological competitiveness.

What are some common challenges Gen AI developers face when deploying models into production environments?

Gen AI Developers often encounter challenges such as ensuring model scalability, maintaining data privacy, and managing high computational requirements when deploying generative AI models. Integrating models with existing systems and monitoring for model drift or bias are also critical concerns. Close collaboration with DevOps, data engineering, and security teams is essential to build robust deployment pipelines and maintain reliable performance in real-world applications.

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

AspectGen Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with AI frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, research labs focusing on generative AITech firms, data-driven companies, research institutions working on ML models
Employer & Industry UsagePrimarily in AI development, focusing on generative models and AI applicationsBroader industry use, including predictive modeling, data analysis, and automation

While both roles involve AI and machine learning skills, Gen AI Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a wide range of ML algorithms for various applications. The roles often overlap but differ in focus and project types.

How can I become a Gen AI developer?

To become a Gen AI developer, you should gain strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and develop expertise in natural language processing and large language models. Building a portfolio of AI projects and obtaining relevant certifications can also enhance your qualifications for this role.

Is a Gen AI Developer a promising career?

A Gen AI Developer is a growing role focused on creating and improving generative artificial intelligence systems, often requiring skills in machine learning, deep learning, and programming languages like Python. The demand for such developers is increasing as AI applications expand across industries, making it a promising career with strong job growth prospects.

What job categories do people searching Gen Ai Developer jobs in Bothell, WA look for?

The top searched job categories for Gen Ai Developer jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Gen Ai Developer jobs?

Cities near Bothell, WA with the most Gen Ai Developer job openings:

Gen Ai Developer jobs near you
Infographic showing various Gen Ai Developer job openings in Bothell, WA as of August 2026, with employment types broken down into 71% Full Time, 25% Part Time, and 4% Contract. Highlights an 62% Physical, 6% Hybrid, and 32% Remote job distribution, with an average salary of $105,304 per year, or $50.6 per hour.

AI Enterprise Architect

Tata Consultancy Services

Seattle, WA • On-site

$78.50 - $101.25/hr

Full-time

Re-posted 11 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

173rd of 224 rated it services

Job description

Job Summary:
Tata Consultancy Services is seeking an AI Enterprise Architect to lead the design and implementation of advanced generative AI solutions across major cloud platforms. The role involves developing AI strategies, overseeing architecture and design, and ensuring alignment with business objectives while leading cross-functional teams.
Responsibilities:
• Define and drive the AI strategy, aligning with business goals and innovation priorities.
• Develop and maintain the AI solution roadmap, including short-term deliverables and long-term vision.
• Evaluate emerging AI trends and technologies to inform strategic direction.
• Architect end-to-end AI solutions using Gen AI, Agentic AI, LLMs, and multi-modal AI.
• Design intelligent agent systems using LangChain, LangGraph, Model Context Protocol (MCP), Agent to Agent Protocols, Google AI Development Kit (ADK), Azure AI Studio or AWS Bedrock.
• Integrate large language models (LLMs) such as Llama, Gemini, GPT, and Claude into enterprise systems and custom applications.
• Establish scalable and modular AI architectures that support RAG pipelines, Vector DBs (ChromaDB, Pinecone, FAISS, Weaviate, Vertex AI Matching Engine).
• Develop and optimize retrieval-augmented generation (RAG) pipelines using vector databases
• Define and enforce AI governance frameworks, including Responsible AI, GuardRails, and compliance with AI Ethics & Regulations.
• Supervise the design, fine-tuning, and optimization of generative AI models and multimodal systems (text, image, audio).
• Lead Python-based development for prompt orchestration, tool agents, APIs, and data pipelines.
• Conduct technical assessments of existing AI/ML systems, models, and data pipelines.
• Identify gaps, risks, and opportunities for modernization or enhancement.
• Recommend architectural improvements and integration strategies for legacy systems.
• Architect, deploy, and monitor generative AI solutions on GCP (Vertex AI, Document AI, AlloyDB, BigQuery, Cloud Run), Azure (OpenAI Service, Cognitive Search, Azure ML, Azure Functions), and AWS (Bedrock, SageMaker, Lambda, API Gateway, DynamoDB).
• Design and manage scalable cloud infrastructure, ensuring performance, cost efficiency, and compliance across platforms.
• Implement containerization and orchestration strategies using Docker and Kubernetes (GKE/EKS/AKS) for reliable deployment.
• Establish and enforce security frameworks using GCP IAM, Azure Identity, AWS IAM, and related tools for secure, compliant access.
• Utilize monitoring and logging solutions such as Google Cloud Operations Suite, Azure Monitor, and AWS CloudWatch.
• Automate model deployment, versioning, and monitoring using MLOps/DevOps best practices and CI/CD pipelines.
• Implement prompt optimization, context management, and model performance tuning.
• Ensure adherence to data governance, privacy, PII handling, and AI ethics principles throughout the development lifecycle.
• Collaborate with product owners, data scientists, engineers, and business stakeholders.
• Mentor engineering teams and contribute to talent development in AI and ML domains.
• Represent AI architecture in enterprise governance forums and technical councils.
Qualifications:
Required:
• 10 - 15 Years of experience
• Generative AI (Gen AI), Agentic AI
• Model selection, evaluation, interpretability: TensorFlow, PyTorch, Hugging Face, NLP, computer vision, time-series modeling
• AI Strategy, Architecture, and Roadmap Planning
• Python / R / TypeScript Programming
• AI Frameworks (LangChain, AutoGen, Azure AI Foundry, Azure AI Agent, CrewAI, LangGraph, Google ADK)
• Model Context Protocol (MCP), Agent to Agent Protocol
• N-8-N
• GuardRails, AI Ethics and Regulations
• Prompt Engineering: Expertise in prompt engineering, LLM operations, and GenAI deployment best practices
• Distillation, RAG, Fine-tuning
• Multi-modal AI, LLMs
• Vector Databases, Embeddings
• GenAI deployment tools (Docker, Kubernetes)
• AI Solution Assessment and Optimization
• ETL, Data Pipelines, Feature Stores: Experience with tools like Airflow, dbt, MLflow, DVC, Azure ML pipelines
• CI/CD for ML: Automated model retraining, versioning, and monitoring
• Data anonymization, privacy-by-design, secure model deployment: Especially for regulated industries (GDPR, SOX, HIPAA)
• Define and drive the AI strategy, aligning with business goals and innovation priorities
• Develop and maintain the AI solution roadmap, including short-term deliverables and long-term vision
• Evaluate emerging AI trends and technologies to inform strategic direction
• Architect end-to-end AI solutions using Gen AI, Agentic AI, LLMs, and multi-modal AI
• Design intelligent agent systems using LangChain, LangGraph, Model Context Protocol (MCP), Agent to Agent Protocols, Google AI Development Kit (ADK), Azure AI Studio or AWS Bedrock
• Integrate large language models (LLMs) such as Llama, Gemini, GPT, and Claude into enterprise systems and custom applications
• Establish scalable and modular AI architectures that support RAG pipelines, Vector DBs (ChromaDB, Pinecone, FAISS, Weaviate, Vertex AI Matching Engine)
• Develop and optimize retrieval-augmented generation (RAG) pipelines using vector databases
• Define and enforce AI governance frameworks, including Responsible AI, GuardRails, and compliance with AI Ethics & Regulations
• Supervise the design, fine-tuning, and optimization of generative AI models and multimodal systems (text, image, audio)
• Lead Python-based development for prompt orchestration, tool agents, APIs, and data pipelines
• Conduct technical assessments of existing AI/ML systems, models, and data pipelines
• Identify gaps, risks, and opportunities for modernization or enhancement
• Recommend architectural improvements and integration strategies for legacy systems
• Architect, deploy, and monitor generative AI solutions on GCP (Vertex AI, Document AI, AlloyDB, BigQuery, Cloud Run), Azure (OpenAI Service, Cognitive Search, Azure ML, Azure Functions), and AWS (Bedrock, SageMaker, Lambda, API Gateway, DynamoDB)
• Design and manage scalable cloud infrastructure, ensuring performance, cost efficiency, and compliance across platforms
• Implement containerization and orchestration strategies using Docker and Kubernetes (GKE/EKS/AKS) for reliable deployment
• Establish and enforce security frameworks using GCP IAM, Azure Identity, AWS IAM, and related tools for secure, compliant access
• Utilize monitoring and logging solutions such as Google Cloud Operations Suite, Azure Monitor, and AWS CloudWatch
• Automate model deployment, versioning, and monitoring using MLOps/DevOps best practices and CI/CD pipelines
• Implement prompt optimization, context management, and model performance tuning
• Ensure adherence to data governance, privacy, PII handling, and AI ethics principles throughout the development lifecycle
• Collaborate with product owners, data scientists, engineers, and business stakeholders
• Mentor engineering teams and contribute to talent development in AI and ML domains
• Represent AI architecture in enterprise governance forums and technical councils
Preferred:
• Desirable certifications: AI/ML, cloud architecture, relevant technology (e.g., GCP GenAI Leader, AWS AI Practitioner, Azure AI certifications)
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.

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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

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