1

Genai Architect Jobs (NOW HIRING)

GenAI Ops Solution Architect

Pittsburgh, PA · On-site

$61.25 - $80.50/hr

GenAI Ops Solution Architect Permanent Full Time 5 days Strongsville, OH, Dallas, TX, or Pittsburgh, PA. Visa : USC, GC, EAD (Only W2, No Sponsorship) Position Description GenAI Ops Solution ...

GenAI Ops Solution Architect

Pittsburgh, PA · On-site

$58.75 - $77.50/hr

GenAI Ops Solution Architect Permanent Full Time 5 days Strongsville, OH, Dallas, TX, or Pittsburgh, PA. Visa : (Only W2, No Sponsorship) Position Description GenAI Ops Solution Architect who will ...

GenAI Ops Solution Architect

Pittsburgh, PA · On-site

$61.25 - $80.50/hr

GenAI Ops Solution Architect Permanent Full Time 5 days Strongsville, OH, Dallas, TX, or Pittsburgh, PA. Visa : USC, GC, EAD (Only W2, No Sponsorship) Position Description GenAI Ops Solution ...

GenAI Ops Solution Architect

Pittsburgh, PA · On-site

$61.25 - $80.50/hr

GenAI Ops Solution Architect Duration : Permanent Full Time Location : Strongsville, OH, Dallas, TX, or Pittsburgh, PA. Work Mode : 5 Days Onsite Looking for a Solution Architect will lead the design ...

GenAI Ops Solution Architect

Pittsburgh, PA · On-site

$61.25 - $80.50/hr

GenAI Ops Solution Architect Duration : Permanent Full Time Location : Strongsville, OH, Dallas, TX, or Pittsburgh, PA. Work Mode : 5 Days Onsite Looking for a Solution Architect will lead the design ...

Gen AI Architect

Mclean, VA · On-site

$63.75 - $84/hr

C. is seeking a high-impact GenAI Architect to define enterprise AI strategy and lead architecture for cutting-edge AI systems. This role involves working on LLM-based solutions in a fully onsite ...

Security Architect

Phoenix, AZ · On-site

$64.50 - $83.50/hr

GenAI systems architecture, LLM lifecycle, and model governance.AI security patterns (threat modeling for LLMs, data leakage prevention, agent control).Strong authorship and analytical writing-clear ...

GenAI Solution Architect

Warren, NJ · On-site

$65 - $85.75/hr

GenAI Solution Architect | Insurance / Finance / Banking Location: Warren, NJ 07059 (Hybrid) Employment Type: Full time Mandatory skill - Agentic AI Frameworks Langchain, LangGraph, CrewAI, Vertex.AI ...

S. We're looking for a GenAI Solution Architect who can do both: design the architecture of AI-powered systems and get hands-on building them. This isn't a slide-deck role or a pure advisory role.

Contract We are seeking experienced AI Architects to lead the design, development, and enterprise adoption of AI/GenAI solutions, including advanced agentic AI systems, across BFS clients. The role ...

Showing results 21-40

Genai Architect information

See salary details

$46.5K

$128.8K

$201.5K

How much do genai architect jobs pay per year?

As of Aug 10, 2026, the average yearly pay for genai architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a GenAI Architect?

To thrive as a GenAI Architect, you need deep expertise in artificial intelligence, machine learning, and large language models, typically supported by a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow, PyTorch), cloud platforms (AWS, Azure, GCP), and MLOps tools, along with certifications in AI or cloud architecture, are highly valuable. Strong problem-solving skills, strategic thinking, and the ability to communicate complex concepts to diverse stakeholders set top candidates apart. These skills are essential for designing scalable, effective GenAI solutions that align with business goals and drive innovation.

What is a GenAI Architect?

A GenAI Architect is a professional who designs, develops, and oversees the implementation of generative AI solutions within an organization. They are responsible for creating system architectures that leverage advanced machine learning models, such as large language models, to solve business problems and improve processes. GenAI Architects work closely with data scientists, engineers, and stakeholders to ensure AI systems are scalable, secure, and aligned with business objectives. Their role often includes evaluating new technologies, setting best practices, and ensuring compliance with ethical and regulatory standards.

How does a GenAI Architect typically collaborate with cross-functional teams during the development of AI solutions?

A GenAI Architect works closely with data scientists, software engineers, product managers, and sometimes business stakeholders to design, implement, and refine generative AI systems. Collaboration often involves translating business requirements into technical solutions, selecting appropriate models and frameworks, and ensuring integration with existing platforms. Regular meetings, design reviews, and joint problem-solving sessions are common, as the architect must ensure alignment on project goals, timelines, and resource needs. This collaborative approach helps deliver robust, scalable, and responsible AI solutions that meet organizational objectives.
More about Genai Architect jobs
What cities are hiring for Genai Architect jobs? Cities with the most Genai Architect job openings:
What states have the most Genai Architect jobs? States with the most job openings for Genai Architect jobs include:
Infographic showing various Genai Architect job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 1% Part Time, and 9% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.

GenAI Ops Solution Architect

System One

Pittsburgh, PA • On-site

$61.25 - $80.50/hr

Full-time

Re-posted 20 hours ago


Job description

GenAI Ops Solution Architect Permanent Full Time 5 days Strongsville, OH, Dallas, TX, or Pittsburgh, PA. Visa : USC, GC, EAD (Only W2, No Sponsorship) Position Description GenAI Ops Solution Architect who will lead the design, governance, and evolution of enterprise-scale Generative AI platforms and solutions. This role is responsible for defining architecture standards, platform capabilities, integration patterns, governance controls, and engineering practices that enable secure, scalable, and reusable GenAI adoption across the enterprise. The architect will work closely with business stakeholders, engineering teams, platform teams, governance organizations, and cloud providers to establish a centralized GenAIOps capability supporting Retrieval Augmented Generation (RAG), Agentic AI, ModelOps, Evaluation, Observability, and AI Governance. Enterprise GenAI Architecture

  • Define and govern the enterprise GenAI platform architecture.
  • Establish architecture standards, design patterns, and reusable frameworks for enterprise AI adoption.
  • Lead solution design for RAG, Document Intelligence, Agentic AI, Evaluation, Observability, and Governance capabilities.
  • Define reference architectures and integration patterns for onboarding GenAI use cases.
GenAIOps Platform Leadership
  • Drive the design and implementation of centralized GenAIOps capabilities including:
    • RAG & Retrieval Services
    • AgentOps
    • ModelOps / LLMOps
    • Evaluation Pipelines
    • Observability & Monitoring
    • AI Governance & Controls
  • Establish reusable engineering patterns and shared platform services.
Architecture Governance
  • Lead architecture reviews and technical governance processes.
  • Ensure alignment with enterprise security, compliance, risk, and regulatory requirements.
  • Define standards for Responsible AI, auditability, traceability, and human-in-the-loop controls.
  • Participate in governance forums and stakeholder reviews.
Cloud & Integration Strategy
  • Define cloud architecture and deployment strategies across Azure, AWS, or hybrid environments.
  • Establish enterprise integration patterns for APIs, data platforms, document repositories, workflow systems, and identity providers.
  • Lead architecture decisions around scalability, resiliency, security, and performance.
Engineering Leadership
  • Provide technical leadership to Value Engineers, Context Engineers, Alignment Engineers, and ModelOps teams.
  • Support platform onboarding and use case architecture activities.
  • Mentor engineering teams and drive adoption of best practices.
  • Evaluate emerging GenAI technologies and recommend platform enhancements.
Stakeholder Engagement
  • Collaborate with business and technology leaders to align architecture decisions with strategic objectives.
  • Support roadmap planning, platform evolution, and capability expansion initiatives.
  • Act as the primary architecture authority for enterprise GenAI initiatives.
Required Qualifications
  • 10+ years of experience in Solution Architecture, Enterprise Architecture, Cloud Architecture, or Platform Engineering.
  • 3+ years of experience designing and implementing Generative AI and enterprise AI solutions.
  • Deep understanding of:
    • Large Language Models (LLMs)
    • Retrieval Augmented Generation (RAG)
    • Agentic AI
    • Prompt Engineering
    • AI Evaluation Frameworks
    • ModelOps / LLMOps
    • AI Governance
  • Experience designing enterprise-scale cloud solutions on Azure, AWS, or GCP.
  • Strong knowledge of microservices, APIs, event-driven architectures, and distributed systems.
  • Experience leading architecture governance and enterprise technology standards.
  • Strong stakeholder management and executive communication skills.
Success Measures
  • Establish a scalable and reusable enterprise GenAI platform.
  • Accelerate onboarding of GenAI use cases through reusable architecture patterns.
  • Ensure alignment with governance, security, and compliance requirements.
  • Improve platform adoption, operational efficiency, and engineering productivity.
  • Enable sustainable long-term ownership through architecture standardization and knowledge transfer.
#M1 #DI-CB2 #L1 - KB1