Gen AI Architect
Job Title:
Gen AI Architect
Location:
Onsite Plano, TX
Duration:
6+ Months
Type:
Contract (W2/C2C)
Job Overview:
We are actively seeking a
Gen AI Architect
for a strategic onsite role in
Plano, TX
. This position demands a seasoned professional with 10 15 years of industry experience and deep expertise in
Generative AI
,
LLMs
, and
AI architecture
. The ideal candidate will be responsible for designing, implementing, and optimizing AI-powered solutions that drive innovation and business value. This is a hands-on architecture role that blends cutting-edge technical development with strategic leadership in AI adoption.
Key Responsibilities:
Architect AI Solutions
: Design scalable, modular architectures for LLM-based agents and Gen AI applications.
Hands-On Development
: Develop and fine-tune generative AI models using tools such as OpenAI APIs, LangChain, and RAG-based systems.
Cloud Deployment & MLOps
: Implement best practices for model deployment on Azure/Google Cloud Platform, including CI/CD, monitoring, and model lifecycle management.
Strategic Alignment
: Collaborate with stakeholders to align AI initiatives with business goals for measurable outcomes.
Cross-Functional Collaboration
: Work closely with data science, engineering, and product teams to ensure successful AI integration into enterprise systems.
Responsible AI Practices
: Enforce ethical AI usage, data privacy, and model fairness across implementations.
Model Evaluation
: Monitor model performance, optimize pipelines, and iterate based on real-world feedback.
Required Qualifications:
Proven experience designing & deploying AI agents and multi-agent systems.
Strong background in
LLMs
(e.g., GPT, BERT, LLaMA).
Hands-on experience with AI/ML frameworks:
PyTorch
,
TensorFlow
,
Hugging Face
.
Proficiency in
RAG
,
vector databases
, and
LangChain
.
Skilled in
cloud AI services
(Azure Cognitive Services, Google Cloud Platform AI),
Docker
, and
Kubernetes
.
Experience in API development, microservices, and event-driven architecture.
Solid understanding of
MLOps
, model monitoring, and CI/CD pipelines.
Excellent communication, leadership, and problem-solving skills.
Preferred Qualifications:
Familiarity with AI orchestration tools like
AG2
,
CrewAI
,
AutoGPT
.
Experience with
multimodal AI models
(text, image, video, audio).
Understanding of
Responsible AI
principles including fairness, transparency, and explainability.
Advanced degree (Master s or PhD) in
AI
,
Machine Learning
,
Data Science
, or a related discipline.
Note:
This is an
onsite
role; only candidates willing to work from
Plano, TX
location will be considered.
Employers have access to artificial intelligence language tools (AI) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job
Dice Id:
91143212
Position Id:
8667949
Job Title:
Gen AI Architect
Location:
Onsite Plano, TX
Duration:
6+ Months
Type:
Contract (W2/C2C)
Job Overview:
We are actively seeking a
Gen AI Architect
for a strategic onsite role in
Plano, TX
. This position demands a seasoned professional with 10 15 years of industry experience and deep expertise in
Generative AI
,
LLMs
, and
AI architecture
. The ideal candidate will be responsible for designing, implementing, and optimizing AI-powered solutions that drive innovation and business value. This is a hands-on architecture role that blends cutting-edge technical development with strategic leadership in AI adoption.
Key Responsibilities:
Architect AI Solutions
: Design scalable, modular architectures for LLM-based agents and Gen AI applications.
Hands-On Development
: Develop and fine-tune generative AI models using tools such as OpenAI APIs, LangChain, and RAG-based systems.
Cloud Deployment & MLOps
: Implement best practices for model deployment on Azure/Google Cloud Platform, including CI/CD, monitoring, and model lifecycle management.
Strategic Alignment
: Collaborate with stakeholders to align AI initiatives with business goals for measurable outcomes.
Cross-Functional Collaboration
: Work closely with data science, engineering, and product teams to ensure successful AI integration into enterprise systems.
Responsible AI Practices
: Enforce ethical AI usage, data privacy, and model fairness across implementations.
Model Evaluation
: Monitor model performance, optimize pipelines, and iterate based on real-world feedback.
Required Qualifications:
Proven experience designing & deploying AI agents and multi-agent systems.
Strong background in
LLMs
(e.g., GPT, BERT, LLaMA).
Hands-on experience with AI/ML frameworks:
PyTorch
,
TensorFlow
,
Hugging Face
.
Proficiency in
RAG
,
vector databases
, and
LangChain
.
Skilled in
cloud AI services
(Azure Cognitive Services, Google Cloud Platform AI),
Docker
, and
Kubernetes
.
Experience in API development, microservices, and event-driven architecture.
Solid understanding of
MLOps
, model monitoring, and CI/CD pipelines.
Excellent communication, leadership, and problem-solving skills.
Preferred Qualifications:
Familiarity with AI orchestration tools like
AG2
,
CrewAI
,
AutoGPT
.
Experience with
multimodal AI models
(text, image, video, audio).
Understanding of
Responsible AI
principles including fairness, transparency, and explainability.
Advanced degree (Master s or PhD) in
AI
,
Machine Learning
,
Data Science
, or a related discipline.
Note:
This is an
onsite
role; only candidates willing to work from
Plano, TX
location will be considered.
Employers have access to artificial intelligence language tools (AI) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job
Dice Id:
91143212
Position Id:
8667949
Job ID: 481251057
Originally Posted on: 6/14/2025
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