Senior AI Engineer, Multi-Agent Systems

Lorven technologies

Our client is looking TECHNOLOGY ARCHITECT/Senior AI Engineer (Applied AI) for Contract project in Blaine, MN (Hybrid) below is the detailed requirements.

Job Title : TECHNOLOGY ARCHITECT/Senior AI Engineer (Applied AI)

Location : Blaine, MN (Hybrid)

Duration : Long term

Job Description:

Bachelor's degree in related field
Design end-to-end Agentic AI architectures integrating AI agent lifecycle frameworks, data infrastructure, orchestration, and enterprise platforms.
Develop and refine AI agent lifecycle strategies covering agent creation, validation, deployment, monitoring, versioning, and retirement.
Architect modular and reusable AI agent frameworks supporting orchestration, interoperability, reusable components, and rapid ecosystem development.
Define AI agent data infrastructure covering data ingestion, processing, storage, access patterns, data quality, scalability, security, and resilience.
Establish Agentic AI governance frameworks with policies, guardrails, accountability mechanisms, risk controls, ethics, compliance, and transparency.
Collaborate with Product, Engineering, Security, Risk, and Operations teams to implement AI agent engineering best practices.
Establish standards for testing, observability, monitoring, version control, incident management, and reliability of AI agents.
Design secure hybrid-work collaboration patterns, access controls, and workflow automations that enable distributed teams to effectively interact with AI agents.
Provide technical guidance for enterprise AI agent integrations, focusing on performance optimization, fault tolerance, scalability, and maintainability.
Review existing AI agent implementations, identify architectural gaps and optimization opportunities, and recommend actionable improvements.
Create architecture documentation, reference architectures, design standards, and reusable patterns for enterprise Agentic AI implementations.
Partner with Risk, Security, and Compliance stakeholders to identify and mitigate risks related to agent behavior, data usage, privacy, and automated decision-making.
Mentor technical teams on AI agent engineering, frameworks, architecture patterns, data infrastructure, and governance best practices.
Evaluate emerging Agentic AI technologies, frameworks, tools, and methodologies and translate relevant innovations into practical enterprise architecture recommendations.
Ability to communicate technical AI concepts effectively to business and leadership stakeholders

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Vacancy posted 2 days ago

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