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Executive Gen Ai Architect Jobs (NOW HIRING)

Qualitest Group

Gen AI Architect

Santa Clara, CA · On-site

$74.50 - $98/hr

We are looking for a Gen AI Architect to join our growing team in United States! Role Overview: The Digital Engineering Gen AI Architect - North America will to lead the design, architecture, and ...

Nastech Global

GEN AI Architect

Charlotte, NC · On-site

GEN AI Architect Location: Charlotte, NC(Onsite) Job Type: Full Time Worked on Agentic AI Wokrflows. Should be specialized in building & deploying Gen AI applications on Azure commercial/gov cloud ...

Qualitest Group

Gen AI Architect

Santa Clara, CA · On-site

$74.50 - $98/hr

We are looking for a Gen AI Architect to join our growing team in United States! Job Overview: We are seeking a Generative AI Architect to lead the design, architecture, and delivery of enterprise ...

Alpha Consulting Corp.

Gen AI Architect

Mclean, VA · On-site

$63.75 - $84/hr

Alpha Consulting Corp. is seeking a Gen AI Architect to define enterprise AI strategy and lead architecture for cutting-edge AI systems. This role requires expertise in large language models and ...

Accord Technologies Inc.

GEN AI Architect

New York, NY · On-site

GEN AI Architect Location: NYC, NY Duration: Long Term Onsite from day one Position type: W2 contract (daily rate) The Gen AI Specialist will leverage advanced Generative AI models and Azure OpenAI ...

Nastech Global

GCP Gen AI Architect

Boston, MA · On-site

GCP Gen AI Architect Location: Boston, MA(Onsite) Job Type: Full Time Must Have Technical/Functional Skills: Architect GEN AI solutions using GCP (GEN AI LLM, Big Query, Vertex AI and related ...

Accord Technologies Inc.

Gen AI Architect

Charlotte, NC · On-site

Gen AI Architect Charlotte, NC ( Need Onsite day 1, hybrid 3 da ys from office) Position type: W2 contract We are seeking a Generative AI Architect to lead the design and delivery of secure, scalable ...

DS Technologies Inc

Salesforce Gen AI Architect

Chicago, IL · On-site

$71 - $88/hr

Job Title: Salesforce Gen AI Architect Location: Chicago, IL Onsite Industry: Healthcare / Life Sciences Job Category: Salesforce Architecture / AI Integration Overview: We are looking for a ...

BIGDATAAPPTECH LLC

Gen AI Architect

Jersey City, NJ · On-site

Role: Gen AI Architect Location: NJ, Jersey City Experience: 12 to 15 Years We are seeking a highly experienced Agentic AI / Generative AI Architect with 15+ years of software and solution ...

Noblesoft Technologies

Gen AI Architect

Pleasanton, CA · Remote

Gen AI Architect Location: Pleasanton , California (Remote) JD: We are seeking an experienced Generative AI Architect to lead the design, development, and deployment of cutting-edge generative AI ...

Ruri Software Technologies LLC

Gen AI Architect

Gen AI Architect Tenure: 2-6 Months (Expected to extend based on the initial 2-month implementation period) Interview Process: Internal & Client Job Summary: 1) Rapidly assess the customer landscape ...

Accord Technologies Inc.

Gen AI Architect

New York, NY · On-site

$69 - $90.75/hr

Gen AI Architect Location: New York city, NY Position type: W2 contract The Role Responsibilities: * Define and drive the AI/ML architecture and roadmap, including both traditional machine learning ...

SDH Systems

AI Architect

Houston, TX · On-site

AI Architect Work location: Houston, TX Workplace : Houston, TX- Onsite Position Overview: We are ... This role requires a deep understanding of Gen AI tools, frameworks, and technologies, as well as a ...

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Executive Gen Ai Architect information

What is the difference between Executive Gen Ai Architect vs Data Scientist?

AspectExecutive Gen Ai ArchitectData Scientist
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; certifications in AI/MLDegree in Data Science, Statistics, or related fields; certifications in data analysis and ML
Work EnvironmentStrategic leadership, cross-department collaboration, executive-level projectsData analysis, model development, data visualization, research-focused
Employer & Industry UsageTech companies, large enterprises implementing AI strategiesResearch institutions, tech firms, finance, healthcare

The Executive Gen Ai Architect focuses on leading AI strategy and architecture at an organizational level, often working with executives. In contrast, a Data Scientist primarily analyzes data, develops models, and supports AI projects through hands-on technical work. Both roles require strong technical credentials, but their focus and work environment differ significantly.

What is an Executive Gen AI Architect?

An Executive Gen AI Architect is a senior-level professional responsible for designing, overseeing, and guiding the implementation of generative AI solutions across an organization. They lead the development of AI architectures, establish best practices, and align AI strategies with business goals. This role requires a blend of deep technical expertise in AI and machine learning, strategic vision, and executive leadership skills. Executive Gen AI Architects often collaborate with cross-functional teams to ensure AI initiatives drive innovation and deliver measurable value.

How does an Executive Gen AI Architect typically collaborate with cross-functional teams to drive AI initiatives?

As an Executive Gen AI Architect, you will frequently work with diverse teams across data science, engineering, product management, and business leadership. Your role involves translating business objectives into scalable AI solutions, providing technical guidance, and ensuring alignment with organizational goals. Effective communication and stakeholder management are key, as you bridge the gap between technical teams and executive leadership. You may also lead workshops, review project progress, and mentor junior architects to ensure best practices are followed throughout the AI development lifecycle.

What are the key skills and qualifications needed to thrive as an Executive Gen AI Architect?

To thrive as an Executive Gen AI Architect, you need advanced expertise in artificial intelligence, machine learning, cloud computing, and software architecture, often supported by a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms (like AWS, Azure, or Google Cloud), and relevant certifications (e.g., Google Professional Machine Learning Engineer) is highly valuable. Strong leadership, strategic thinking, and communication skills are essential for guiding cross-functional teams and aligning AI initiatives with business goals. These competencies ensure successful implementation of AI strategies that drive innovation and competitive advantage for the organization.
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Infographic showing various Executive Gen Ai Architect job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

Gen AI Architect

Qualitest Group

Santa Clara, CA • On-site

$74.50 - $98/hr

Full-time

Re-posted 27 days ago

Job description

Are you interested in working with the World's leading AI-first Quality Engineering Company? Ready to advance your career, team up with global thought leaders across industries and make a difference every day? Join us at QualityAI!
We are looking for a Gen AI Architect to join our growing team in United States!
Role Overview:
The Digital Engineering Gen AI Architect - North America will to lead the design, architecture, and delivery of enterprise-grade AI solutions powered by Large Language Models (LLMs), multi-modal AI, and Retrieval-Augmented Generation (RAG) pipelines. The ideal candidate will combine deep technical expertise in AI/ML systems with proven experience in enterprise architecture, ensuring solutions are scalable, secure, compliant, and aligned with business goals.
This role involves defining the technical roadmap for Generative AI initiatives, selecting and integrating AI frameworks, orchestrating model lifecycle management, and guiding cross-functional teams to deliver production-ready GenAI solutions. You will be the go-to expert for translating high-level business needs into robust, future-proof AI architectures.
Key Responsibilities:
AI Architecture & Solution Design:
  • Architect enterprise-scale Generative AI solutions leveraging LLMs, embeddings, and retrieval-augmented generation (RAG) pipelines.
  • Design and implement scalable AI microservices and APIs integrated into existing enterprise ecosystems (Azure, AWS, GCP).
  • Lead PoCs and pilot implementations for AI-first use cases such as intelligent automation, code generation, knowledge assistants, and predictive analytics.

Innovation & Technology Leadership:
  • Define and evolve the organization's AI architecture strategy, focusing on scalability, security, and ethical AI principles.
  • Define and design AI Assurance strategy. Define key metrics and approaches to test AI ( Traditional and GenAI ) and work with the platform team to automate the process of capturing and reporting on key metrics.
  • Introduce emerging Gen AI frameworks (LangChain, LangGraph, CrewAI, OpenAI Agents SDK, etc.) to enable multi-agent orchestration and intelligent workflow automation.
  • Build reusable AI accelerators, tools, and frameworks to standardize model deployment, evaluation, and governance.

Customer Engagement & Solutioning:
  • Partner with clients to identify high-value AI opportunities and translate business problems into technical blueprints.
  • Lead technical discussions, RFP responses, and client demos showcasing Gen AI capabilities and ROI.
  • Collaborate with account leaders to shape AI roadmaps and innovation strategies for enterprise clients.

Delivery Governance & Enablement:
  • Oversee architecture reviews and ensure best practices in AI model lifecycle management (training, fine-tuning, inference, observability).
  • Guide engineering and data science teams in adopting AI-first design principles, model operationalization (MLOps/LLMOps), and continuous learning loops.
  • Ensure compliance with data privacy, responsible AI, and enterprise governance standards.

Practice & Capability Building:
  • Build and scale the Generative AI practice across North America - mentoring architects, engineers, and data scientists.
  • Collaborate with global CoE and platform teams to enhance reusable AI assets, domain-specific models, and evaluation frameworks.
  • Evangelize AI-first engineering through thought leadership, workshops, and industry events.

Required Skills & Experience:
  • 15+ years in software engineering, solution architecture, or digital transformation roles.
  • 5+ years of hands-on experience in AI/ML, NLP, or Generative AI system design.
  • Deep knowledge of LLMs, vector databases, and orchestration frameworks (LangChain, LangGraph, LlamaIndex, etc.).
  • Strong understanding of RAG architecture, fine-tuning (LoRA/QLoRA), embeddings, and prompt engineering.
  • Expertise in cloud-native AI platforms - Azure OpenAI, AWS Bedrock, Vertex AI, or similar.
  • Proven ability to integrate AI models into enterprise systems using APIs, microservices, and event-driven architectures.
  • Excellent communication, storytelling, and client engagement skills - able to translate AI concepts into business value.
  • Strong leadership in cross-functional environments involving AI research, engineering, and business stakeholders.

Experience Level:
  • 12+ years overall experience in technology and digital engineering, with 5+ years of hands-on experience in AI/ML, with at least 3+ years in Generative AI (LLMs, RAG, multimodal, or agentic systems).

Preferred Qualifications:
  • Prior experience leading enterprise AI transformations or building Gen AI Centers of Excellence.
  • Experience implementing agentic AI systems, AI copilots, or autonomous agents in real-world business scenarios.
  • Certifications in AI/ML, cloud architecture (Azure/AWS/GCP), or Responsible AI practices.

Benefits:
Why QualityAI?
QualityAI is an AI-first quality engineering company helping enterprises deploy and scale complex systems with greater confidence. Operating across data, models, platforms, infrastructure, and operational environments, the company provides assurance and engineering expertise that helps organizations ensure systems perform reliably in real-world conditions.
Formerly Qualitest, QualityAI supports global enterprises across regulated and technology-driven industries, combining deep engineering heritage with AI-enabled delivery, operational assurance, and lifecycle expertise to help clients achieve certainty at go-live.
  • Be a part of a company who strives to support for diversity and inclusion in the workplace - we are one, we are many at QualityAI. Celebrate culture, share knowledge with engineers from around the globe, and inspire each other through our differences.
  • Local and global opportunities - we offer you internal rotation and international mobility opportunities to grow your career.
  • Clear view of your career and progression with the company - QualityAI is growing massively (since Jan 2021 - added more than 2000 engineers) and giving you the opportunity to grow with us.
  • Work hard and play harder with our flexible and casual culture. Take a break from work and join an employee event, or enjoy the amenities and games provided from one of our Employees Centers.
  • Never stop experimenting and learning with QualityAI Tech academy: 3000+ training courses, mentorship programs, technical tribes, sponsored certifications, leadership programs and much more.
  • Earn bonuses via our Client Referral and Employee Referral Program's. Refer and earn - tap your network for net-worth.
  • A Competitive pay, the salary range for the role is $180,000 - $200,000.

If you like what you have read, send us your resume and let's start talking!
Intrigued to find more about us?
Visit our website at https://www.QualityAIgroup.com/
If you like what you have read, send us your resume and let's start talking!
LinkedIn: https://www.linkedin.com/company/qualityaigroup

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