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Gen Ai Architect Jobs (NOW HIRING)

Symhas

Gen AI Lead

Pleasanton, CA · On-site

Contract About the Role We are seeking a hands-on Gen AI Lead to architect, ship, and scale production Generative AI systems. This is a senior, technically demanding contract role for someone who has ...

Salesforce

Gen AI Security Architect

Plano, TX · On-site

$62.25 - $80.25/hr

Gen AI Security Architect The resources focus on assessing, modeling, and mitigating security and resilience risks across agentic AI systems, data, and underlying AI infrastructure. The architect ...

Unissant

Senior AI Systems Architect

Ashburn, VA · On-site

$145K - $208K/yr

Serve as the lead architect for AI and Gen-AI initiatives supporting operational mission requirements across national security customer domains. * Design and operationalize enterprise AI ...

UNISSANT

Senior AI Systems Architect

Ashburn, VA

Serve as the lead architect for AI and Gen-AI initiatives supporting operational mission requirements across national security customer domains. * Design and operationalize enterprise AI ...

Alpha Silicon

Senior AI Solution Architect

Raritan, NJ · On-site

Senior Solution Architect-Gen AI Location: Raritan, NJ (Onsite) Duration: Long Term Contract/Full Time We are seeking a highly skilled Senior Solution Architect Generative AI (Gen AI) to lead the ...

Unissant

Senior AI Systems Architect

Ashburn, VA · On-site

$145K - $208K/yr

AI/ML & Gen-AI Solution EngineeringLead design and deployment of AI/ML and Gen-AI solutions ... Architect event-driven data ecosystems leveraging Kafka/MSK, APIs, streaming pipelines, and real ...

SysMind Tech

Gen-AI Engineers

Jersey City, NJ · On-site

$65 - $70/hr

The role will involve working closely with business, data, engineering, and architecture teams to design and implement Gen-AI use cases, integrate LLM-based solutions with enterprise applications ...

Photon

Gen AI Lead - TX

Irving, TX · On-site

$15.50 - $18.75/hr

Design and architect complex Gen AI solutions leveraging Large Language Models (LLMs), Transformer/Neural Network models, and Vector/Graph Databases (Pinecone, Milvus, Neo4j). * Oversee the ...

Photon

Gen AI Lead - TX

Irving, TX · On-site

$15.50 - $18.75/hr

Design and architect complex Gen AI solutions leveraging Large Language Models (LLMs), Transformer/Neural Network models, and Vector/Graph Databases (Pinecone, Milvus, Neo4j). * Oversee the ...

Blackhawk Network

AI Solutions Architect

Pleasanton, CA · On-site

$170K - $230K/yr

This technical, results-oriented AI Architect will drive the design, development, and implementation of Agentic AI / Gen AI solutions. You will define the strategic vision for critical AI initiatives ...

Blackhawk Network

AI Solutions Architect

Pleasanton, CA · On-site

$170K - $230K/yr

This technical, results-oriented AI Architect will drive the design, development, and implementation of Agentic AI / Gen AI solutions. You will define the strategic vision for critical AI initiatives ...

KE Staffing

AI Architect

Milwaukee, WI · On-site

Lead the architecture and development of scalable, AI-powered systems that span multiple platforms ... gen dev tools. * Act as a technical mentor, shaping the growth of senior and staff engineers ...

Tata Consultancy Services

AI Enterprise Architect

Seattle, WA · On-site

$78.50 - $101.25/hr

Required : • 10 - 15 Years of experience • Generative AI (Gen AI), Agentic AI • Model ... AI/ML, cloud architecture, relevant technology (e.g., GCP GenAI Leader, AWS AI Practitioner, Azure ...

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All JobsGen Ai Architect Jobs

Gen Ai Architect information

See salary details

$46.5K

$128.8K

$201.5K

How much do gen ai architect jobs pay per year?

As of Aug 10, 2026, the average yearly pay for gen ai 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 is a Gen AI Architect?

A Gen AI Architect is a professional who designs and oversees the implementation of generative artificial intelligence systems within organizations. They are responsible for creating the architecture that enables AI models to generate new content, such as text, images, or code, based on large datasets. Their work involves selecting appropriate technologies, ensuring scalability, managing data pipelines, and aligning AI solutions with business goals. Gen AI Architects also address ethical considerations and security concerns related to AI deployment.

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

To thrive as a Gen AI Architect, you need a deep understanding of artificial intelligence, machine learning algorithms, and distributed systems, typically supported by a degree in computer science or a related field. Familiarity with AI/ML frameworks (such as TensorFlow, PyTorch), cloud platforms (like AWS, Azure, GCP), and knowledge of MLOps tools and relevant certifications are highly valuable. Strong problem-solving, communication, and leadership skills help in translating business needs into technical solutions and collaborating with cross-functional teams. These abilities are crucial for designing scalable, effective AI architectures that drive innovation and deliver business impact.

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

AspectGen Ai ArchitectData Scientist
Required CredentialsAI/ML certifications, advanced degrees in CS or AIStatistics, Data Analysis, Computer Science degrees
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, business units
Employer & Industry UsageTech firms, AI startups, enterprises adopting AI solutionsFinance, healthcare, marketing, and other data-driven industries

While both roles involve working with data and AI, a Gen Ai Architect primarily designs and develops AI systems focused on generative models, whereas a Data Scientist analyzes data to extract insights and inform decisions. The roles often overlap but differ in focus and skill set.

What are some common challenges Gen AI Architects face when integrating generative AI solutions into existing enterprise systems?

Gen AI Architects often encounter challenges when integrating generative AI models with legacy systems, including ensuring data compatibility, maintaining security and compliance, and managing scalability. They must work closely with data engineers, software developers, and business stakeholders to align AI solutions with organizational goals while overcoming technical limitations. Effective communication and a strong understanding of both AI technologies and existing IT infrastructure are crucial for success. Additionally, staying up to date with rapidly evolving AI frameworks and tools is essential to deliver robust, future-proof solutions.
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Gen Ai Architect jobs near you
Infographic showing various Gen Ai Architect job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.

Gen AI Lead

Symhas

Pleasanton, CA • On-site

Other

Re-posted 6 days ago

Job description

Gen AI Lead

Location: Pleasanton, CA · Work mode: Onsite / Hybrid (3 days in office) · Type: Contract

About the Role

We are seeking a hands-on Gen AI Lead to architect, ship, and scale production Generative AI systems. This is a senior, technically demanding contract role for someone who has taken Gen AI applications from raw business problem to live traffic — owning model selection, evaluation, cost, latency, security, and team enablement. You will be the most senior Gen AI person in the room and expected to both build and elevate the team.

What You'll Do
  • Architect and deliver production Gen AI systems (RAG, fine-tuning, agents) end-to-end.
  • Own evaluation frameworks, guardrails, and grounding to control hallucination and factual reliability.
  • Drive inference cost, latency, and token economics at scale.
  • Establish data governance, security, and compliance practices for enterprise Gen AI.
  • Mentor engineers and calibrate stakeholder expectations on what the technology can and cannot do.
What We're Looking For
  • Proven track record architecting and shipping production Gen AI systems end-to-end.
  • Deep experience with evaluation, guardrails, and hallucination control in real deployments.
  • Strong command of inference cost and latency optimization at scale.
  • Hands-on expertise in data governance, security, and compliance for enterprise Gen AI.
  • Senior technical leadership and stakeholder communication skills.

Qualified applicants will be asked to complete a short set of screening questions as part of the application.