TWK_2893 Application Architect with Generative AI | State of Texas | Austin, TX # Hybrid | min 8 years of Applications Architect exp & expert on GenAI (generative AI) must

2 views

Skip to first unread message

sekhar u

unread,

Oct 21, 2025, 11:07:29 AM (2 days ago) Oct 21

to Tekwings LLC_Daily C2C, W2, 1099 Requirements_ Email Group

Share profiles along with Job ID number

S E K H A R @ TEKWINGS. COM

Note: If this email is not relevant to you, sorry for your Inconvenience

Share profiles ASAP

Requirement details:
Internal job ID:TWK_2893

Application Architect with Generative AI

State of Texas

Austin, TX # Hybrid

Interview mode: ☒ Through Microsoft Teams

NOTE:

The working position is Hybrid
Interview mode : Team meetings
The working position is Hybrid - 3Days Onsite is required
Program will only allow candidates who are LOCAL TO TEXAS State only
Please do not submit candidates who are currently out of state and are planning to move to Texas. Candidates must already reside in Texas.

Total EXP:14+ years Above

Required Skills:

Hybrid: 3 Days from Office in Austin TX
Architect needs to do coding 60%
should be expert on GenAI (generative AI)
application and software architecture (8+ years)
Generative AI technologies – LLMs, RAG pipelines, vector databases, and prompt engineering
cloud platforms: AWS, Azure, or GCP
experience with microservices and cloud-native architectures
programming skills in Python, Node.js, Java, or similar languages.
AI integration patterns and application modernization.

Role Overview

The Application Architect (Generative AI) will design and guide the implementation of AI-driven applications and platforms across EA. This role combines enterprise architecture, software engineering, and AI innovation, ensuring scalable, secure, and user-centric solutions. The architect will collaborate with product, data science, and engineering teams to integrate LLMs, RAG pipelines, and other GenAI technologies into EA’s ecosystem, aligning with EA’s global technology strategy while supporting rapid innovation.

Key Responsibilities

Design scalable, secure, high-performing AI-enabled applications.
Translate business and creative needs into technical architectures.
Define standards, patterns, and reference architectures for AI integration.
Lead modernization initiatives using cloud-native and AI-native approaches.
Ensure compliance with security, data privacy, and responsible AI principles.
Align solutions with enterprise architecture strategies.
Mentor teams and provide thought leadership on GenAI adoption and tools.
Evaluate and recommend AI/ML technologies, frameworks, and vendors.

Qualifications

8+ years in application/software architecture with enterprise-scale experience.
Solid understanding of Generative AI (LLMs, RAG, vector databases, prompt engineering).
Strong expertise in cloud platforms (AWS, Azure, GCP) and microservices.
Proficient in Python, Node.js, Java, or similar languages.
Familiar with MLOps, AI model deployment, inference optimization, and monitoring.
Deep understanding of security, compliance, and governance.
Excellent communication and stakeholder management skills.