Argyllinfotech
Position: AI Architect
Compensation: $120K $125K per annum with no benefits
*Visa Independent Candidates only*
**Local to Charlotte Only**
Onsite Interview and Onsite from Day 1
Job Overview We are seeking a highly skilled
AI Architect
to design and drive our Artificial Intelligence strategy and solutions. The ideal candidate will have deep expertise in Machine Learning (ML), Generative AI (GenAI), and Large Language Model (LLM) frameworks. This role involves architecting end-to-end AI systems, guiding development teams, and ensuring robust, ethical, and scalable AI implementations.
Key Responsibilities
Define and execute the
AI/ML architecture and roadmap , covering both traditional ML and Generative AI use cases.
Design
end-to-end AI solutions
encompassing data ingestion, feature engineering, model training, inference pipelines, and monitoring frameworks.
Lead the
integration of LLMs and RAG (Retrieval-Augmented Generation)
frameworks using tools such as
LangChain ,
LangGraph , or similar.
Collaborate with cross-functional teams to translate
business objectives into AI-driven solutions .
Evaluate and recommend
AI/ML tools, cloud services, and frameworks
best suited for each use case.
Ensure
model governance, security, explainability , and adherence to
ethical AI practices .
Partner with engineering teams to
implement scalable and high-performance AI components .
Work closely with DevOps to establish
CI/CD pipelines for AI , including model versioning, deployment, and A/B testing.
Stay updated on
AI research, trends, and innovations , providing strategic recommendations for adoption.
Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Proven experience in
AI/ML solution architecture
and
cloud-based deployments
(AWS, Azure, or GCP).
Hands-on experience with
LLMs, RAG, vector databases , and
prompt engineering .
Strong programming skills in
Python
and familiarity with ML libraries such as
TensorFlow, PyTorch, or Hugging Face .
Experience designing
scalable microservice-based AI systems .
Excellent communication, collaboration, and problem-solving skills.
#J-18808-Ljbffr
*Visa Independent Candidates only*
**Local to Charlotte Only**
Onsite Interview and Onsite from Day 1
Job Overview We are seeking a highly skilled
AI Architect
to design and drive our Artificial Intelligence strategy and solutions. The ideal candidate will have deep expertise in Machine Learning (ML), Generative AI (GenAI), and Large Language Model (LLM) frameworks. This role involves architecting end-to-end AI systems, guiding development teams, and ensuring robust, ethical, and scalable AI implementations.
Key Responsibilities
Define and execute the
AI/ML architecture and roadmap , covering both traditional ML and Generative AI use cases.
Design
end-to-end AI solutions
encompassing data ingestion, feature engineering, model training, inference pipelines, and monitoring frameworks.
Lead the
integration of LLMs and RAG (Retrieval-Augmented Generation)
frameworks using tools such as
LangChain ,
LangGraph , or similar.
Collaborate with cross-functional teams to translate
business objectives into AI-driven solutions .
Evaluate and recommend
AI/ML tools, cloud services, and frameworks
best suited for each use case.
Ensure
model governance, security, explainability , and adherence to
ethical AI practices .
Partner with engineering teams to
implement scalable and high-performance AI components .
Work closely with DevOps to establish
CI/CD pipelines for AI , including model versioning, deployment, and A/B testing.
Stay updated on
AI research, trends, and innovations , providing strategic recommendations for adoption.
Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Proven experience in
AI/ML solution architecture
and
cloud-based deployments
(AWS, Azure, or GCP).
Hands-on experience with
LLMs, RAG, vector databases , and
prompt engineering .
Strong programming skills in
Python
and familiarity with ML libraries such as
TensorFlow, PyTorch, or Hugging Face .
Experience designing
scalable microservice-based AI systems .
Excellent communication, collaboration, and problem-solving skills.
#J-18808-Ljbffr