Senior AI Engineer - GenAI & Agentic Systems

Robotic Technologies Automation

Sunnyvale (CA)

On-site

USD 180,000 - 240,000

Full time

3 hours ago
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Job summary

Robotic Technologies Automation is seeking a SeniorAI Engineer to lead Agentic GenAI initiatives and optimize configurations for client integrations. You will work with cross-functional teams to deliver innovative AI solutions that streamline business processes and drive client success.

The role emphasizes translating business needs into technical blueprints, evaluating AI technologies, and ensuring scalable, secure deployments within regulatory guidelines.

Qualifications

  • Expertise in Generative AI, AI/ML solutioning, big data engineering, and digital transformation.
  • Bachelor’s degree in computer science, information technology, or a related field.
  • Excellent problem-solving skills and ability to work independently.
  • Effective communication skills to collaborate with stakeholders at all levels.

Responsibilities

  • Translating business requirements into technical AI blueprints.
  • Delivering Agentic GenAI solutions; design end-to-end AI system architectures, data pipelines and deployment strategies.
  • Evaluate and select appropriate AI technologies, frameworks, and tools.
  • Ensure solutions are scalable, secure, and compliant with regulations.
  • Collaborate with cross-functional teams (data scientists, engineers, business leaders).

Skills

AgenticAI
GenerativeAI
Natural language processing
Python
Vector Database
Data Governance for AI

Education

Bachelor’s degree in computer science, information technology, or a related field

Tools

Docker Container
Vector Database

Job description

Robotic Technologies Automation is seeking a SeniorAI Engineer to lead Agentic GenAI initiatives and optimize configurations for client integrations. You will work with cross-functional teams to deliver innovative AI solutions that streamline business processes and drive client success.

The role emphasizes translating business needs into technical blueprints, evaluating AI technologies, and ensuring scalable, secure deployments within regulatory guidelines.

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