Cynet systems Inc
Job Description
Pay Range: $65/hr - $70/hr
Requirement/Must Have
Eight plus years of experience in software architecture.
Three plus years of hands‑on experience with AI/ML systems.
Strong expertise in large language model integration, prompt engineering, and agent‑based architectures.
Experience working with financial services applications and regulatory requirements.
Strong knowledge of AWS cloud architecture and AI/ML services.
Understanding of optimization algorithms and financial modeling.
Excellent technical leadership and communication skills.
Experience
Experience designing end‑to‑end AI‑enabled platforms.
Experience defining integration patterns between LLMs, specialized models, and external engines.
Experience establishing AI governance frameworks and responsible AI controls.
Experience designing secure, scalable, and high‑performance solutions.
Responsibilities
Design the overall architecture for an agentic AI platform leveraging enterprise AI assets and accelerators.
Define integration patterns between LLMs, specialized AI models, and external optimization engines.
Establish AI governance frameworks, including responsible and explainable AI controls.
Create technical specifications for agent orchestration and workflow design.
Ensure solutions meet security, privacy, scalability, and performance requirements.
Guide development teams on AI implementation best practices.
Design explainability components for AI‑driven decisions.
Collaborate with stakeholders to align technical architecture with business objectives.
Skills
AWS services such as Lambda, ECS, API Gateway, S3, DynamoDB, and SageMaker.
LLM platforms and enterprise‑approved AI models.
Agent orchestration frameworks.
Infrastructure as Code tools.
API development using REST or GraphQL.
Cloud security and identity management frameworks.
Monitoring and observability tools.
Version control and CI/CD tools.
Qualification and Education
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
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Requirement/Must Have
Eight plus years of experience in software architecture.
Three plus years of hands‑on experience with AI/ML systems.
Strong expertise in large language model integration, prompt engineering, and agent‑based architectures.
Experience working with financial services applications and regulatory requirements.
Strong knowledge of AWS cloud architecture and AI/ML services.
Understanding of optimization algorithms and financial modeling.
Excellent technical leadership and communication skills.
Experience
Experience designing end‑to‑end AI‑enabled platforms.
Experience defining integration patterns between LLMs, specialized models, and external engines.
Experience establishing AI governance frameworks and responsible AI controls.
Experience designing secure, scalable, and high‑performance solutions.
Responsibilities
Design the overall architecture for an agentic AI platform leveraging enterprise AI assets and accelerators.
Define integration patterns between LLMs, specialized AI models, and external optimization engines.
Establish AI governance frameworks, including responsible and explainable AI controls.
Create technical specifications for agent orchestration and workflow design.
Ensure solutions meet security, privacy, scalability, and performance requirements.
Guide development teams on AI implementation best practices.
Design explainability components for AI‑driven decisions.
Collaborate with stakeholders to align technical architecture with business objectives.
Skills
AWS services such as Lambda, ECS, API Gateway, S3, DynamoDB, and SageMaker.
LLM platforms and enterprise‑approved AI models.
Agent orchestration frameworks.
Infrastructure as Code tools.
API development using REST or GraphQL.
Cloud security and identity management frameworks.
Monitoring and observability tools.
Version control and CI/CD tools.
Qualification and Education
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
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