Overview
On Site
$90 - $110 hourly
Contract - W2
Contract - Temp
Skills
Solution Architecture
Cloud Computing
Terraform
Lifecycle Management
Data Security
Regulatory Compliance
HIPAA
IT Management
Mentorship
Systems Design
Soft Skills
Communication
Stakeholder Management
Amazon SageMaker
Amazon S3
Microsoft Azure
Machine Learning (ML)
Python
TensorFlow
PyTorch
Java
.NET
Microservices
Generative Artificial Intelligence (AI)
Amazon Web Services
LangChain
DevOps
Machine Learning Operations (ML Ops)
Docker
Kubernetes
Continuous Integration
Continuous Delivery
Artificial Intelligence
Messaging
Job Details
RESPONSIBILITIES:
Kforce has a client in NYC that is seeking a GenAI Architect.
Responsibilities:
* Solution Architecture: Design and implement scalable GenAI solutions across AWS and Azure environments, ensuring security, compliance, and performance
* Cloud Integration: Architect multi-cloud platforms leveraging AWS Bedrock, Azure OpenAI, and related services for LLM-based applications
* Infrastructure as Code: Implement automation using Terraform, CloudFormation, or Azure Resource Manager templates
* Model Lifecycle Management: Fine-tune, optimize, and deploy models using AWS SageMaker, Azure Machine Learning, and integrate with enterprise APIs
* Security & Compliance: Apply best practices for data protection, responsible AI, and regulatory compliance (GDPR, CCPA, HIPAA)
* Technical Leadership: Mentor engineering teams on GenAI, MLOps/LLMOps, and agentic AI system design
REQUIREMENTS:
* Master's degree in Computer Science, Engineering, or related field is preferred
* Certifications: AWS Certified Solutions Architect, Azure Solutions Architect Expert, or AI/ML specialty certifications (preferred)
* Soft Skills: Strong communication, stakeholder management, and ability to translate business needs into technical solutions
Cloud Expertise:
* AWS: Bedrock, SageMaker, Lambda, ECS/EKS, S3
* Azure: Azure OpenAI, Azure ML, Cognitive Services, AKS
* Programming: Python (TensorFlow, PyTorch, HuggingFace), plus Java/.NET for backend microservices
* GenAI Tools: AWS Bedrock, OpenAI APIs (GPT, DALL.E, Whisper), LangChain, RAG pipelines
* DevOps/MLOps: Docker, Kubernetes, CI/CD pipelines, observability tools
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Kforce has a client in NYC that is seeking a GenAI Architect.
Responsibilities:
* Solution Architecture: Design and implement scalable GenAI solutions across AWS and Azure environments, ensuring security, compliance, and performance
* Cloud Integration: Architect multi-cloud platforms leveraging AWS Bedrock, Azure OpenAI, and related services for LLM-based applications
* Infrastructure as Code: Implement automation using Terraform, CloudFormation, or Azure Resource Manager templates
* Model Lifecycle Management: Fine-tune, optimize, and deploy models using AWS SageMaker, Azure Machine Learning, and integrate with enterprise APIs
* Security & Compliance: Apply best practices for data protection, responsible AI, and regulatory compliance (GDPR, CCPA, HIPAA)
* Technical Leadership: Mentor engineering teams on GenAI, MLOps/LLMOps, and agentic AI system design
REQUIREMENTS:
* Master's degree in Computer Science, Engineering, or related field is preferred
* Certifications: AWS Certified Solutions Architect, Azure Solutions Architect Expert, or AI/ML specialty certifications (preferred)
* Soft Skills: Strong communication, stakeholder management, and ability to translate business needs into technical solutions
Cloud Expertise:
* AWS: Bedrock, SageMaker, Lambda, ECS/EKS, S3
* Azure: Azure OpenAI, Azure ML, Cognitive Services, AKS
* Programming: Python (TensorFlow, PyTorch, HuggingFace), plus Java/.NET for backend microservices
* GenAI Tools: AWS Bedrock, OpenAI APIs (GPT, DALL.E, Whisper), LangChain, RAG pipelines
* DevOps/MLOps: Docker, Kubernetes, CI/CD pipelines, observability tools
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
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.