W2 Role :: Application Architect with Generative AI :: Austin, Texas (Hybrid, Need Only Locals with DL Copy)

Overview

On Site
Full Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Job Details

Job Title Application Architect with Generative AI

Location Austin, Texas (Hybrid, Need Only Locals with DL Copy)

Duration 12 Months

Experience Must have Minimum 17+ Years of Experience

W2 Role

Job Description:-
We are seeking an Application Architect with Generative AI expertise to design and guide the implementation of advanced AI-driven applications and platforms. This role bridges enterprise architecture, software engineering, and AI innovation-ensuring our solutions are scalable, secure, and player- or employee-focused.
As an Application Architect, you will work closely with product, engineering, data science, and infrastructure teams to design application architectures that integrate LLMs, RAG pipelines, and other GenAI technologies into ecosystem. You'll ensure solutions align with global technology strategy while enabling experimentation and rapid innovation.

Responsibilities:
Architect scalable, secure, and high-performing applications that incorporate Generative AI technologies.
Partner with engineering, data, and product teams to translate business and creative needs into technical architectures.
Define standards, patterns, and reference architectures for AI-enabled applications.
Guide application modernization initiatives, integrating cloud-native and AI-native approaches.
Ensure solutions comply with enterprise security, data privacy, and responsible AI principles.
Collaborate with enterprise architects to align AI-driven applications with broader technology strategy.
Provide thought leadership and mentorship in GenAI adoption, best practices, and emerging tools.
Evaluate new AI/ML technologies, frameworks, and vendors, advising on build vs. buy decisions.

Qualifications:
8+ years of experience in application/software architecture, with a strong record of designing enterprise-scale solutions.
Good knowledge of Generative AI technologies (e.g., LLMs, RAG, vector databases, prompt engineering).
Strong background in cloud platforms (AWS, Azure, or Google Cloud Platform) and microservices architecture.
Proficiency in modern programming languages (Python, Node.js, Java, or similar).
Familiarity with MLOps and AI integration patterns (model deployment, inference optimization, monitoring).
Strong understanding of enterprise security, compliance, and governance requirements.
Excellent communication skills, able to influence technical and business stakeholders alike.

Bonus Points:
Experience in gaming, media, or interactive entertainment industries.
Knowledge of AI orchestration frameworks (LangChain, Semantic Kernel, etc.) and workflow automation.
Familiarity with DevSecOps and CI/CD pipelines for AI-driven applications.
Experience integrating GenAI solutions into employee- or player-facing platforms.

Skill Matrix Application/Software Architect (GenAI Focus)

Skill Area

Details

Years of Experience

Proficiency Level (1 5)

Application/Software Architecture

Designing enterprise-scale solutions

Generative AI

LLMs, RAG, vector databases, prompt engineering

Cloud Platforms

AWS, Azure, Google Cloud Platform

Microservices Architecture

Designing and deploying distributed systems

Programming Languages

Python, Node.js, Java (or similar)

MLOps & AI Integration

Model deployment, inference optimization, monitoring

Enterprise Security & Compliance

Security, governance, compliance standards

Communication & Stakeholder Management

Technical + business influence

Gaming/Media/Entertainment (Bonus)

Industry-specific experience

AI Orchestration Frameworks (Bonus)

LangChain, Semantic Kernel, workflow automation

DevSecOps & CI/CD (Bonus)

Pipelines for AI-driven applications

GenAI Integration (Bonus)

Embedding AI into employee/player platforms

Akshit Sisonia - Sr. Technical Recruiter

Email -

LinkedIn -

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