AI Tools Enablement Engineer

AI Tools Enablement Engineer

Posted 1 week ago by PY DATA, INC.

Negotiable
Undetermined
Remote
Remote

Summary: The AI Tools Enablement Engineer role focuses on maintaining expertise in Agentic AI platforms and conducting assessments of AI tools. The position involves designing proof of concepts and ensuring secure integration with various teams. This is a contract-to-hire position that is fully remote.

Key Responsibilities:

  • Maintain senior-level knowledge of Agentic AI platforms, frameworks, and tooling
  • Evaluate capabilities such as orchestration, autonomy levels, memory, integrations, and guardrails
  • Stay aligned with vendor roadmaps and emerging AI tooling trends
  • Conduct thorough technical assessments of AI tools, platforms, and extensions
  • Evaluate architecture, data flow, identity model, network requirements, and dependencies
  • Identify risks, limitations, and operational considerations
  • Design and execute POCs for candidate AI tools
  • Partner with architecture, cloud, security, and platform teams during validation
  • Document findings, recommendations, and required controls
  • Work closely with Security on data protection, identity, logging, and threat modeling
  • Work closely with Cloud & Networking on connectivity, performance, and scalability
  • Work closely with Enterprise Architecture on alignment to standards and future-state design

Key Skills:

  • Expertise in Agentic AI platforms and frameworks
  • Strong technical assessment skills
  • Experience in designing proof of concepts
  • Knowledge of security, cloud, and networking principles
  • Ability to document findings and recommendations effectively

Salary (Rate): £45

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

AI Tools Enablement Engineer

100% Remote

Contract to Hire

1.Agentic AI Technical Expertise

  • Maintain seniorlevel knowledge of Agentic AI platforms, frameworks, and tooling
  • Evaluate capabilities such as orchestration, autonomy levels, memory, integrations, and guardrails
  • Stay aligned with vendor roadmaps and emerging AI tooling trends
  1. Tool Assessment & Evaluation
  • Conduct thorough technical assessments of AI tools, platforms, and extensions
  • Evaluate architecture, data flow, identity model, network requirements, and dependencies
  • Identify risks, limitations, and operational considerations
  1. Proof of Concept (POC) & Validation
  • Design and execute POCs for candidate AI tools
  • Partner with architecture, cloud, security, and platform teams during validation
  • Document findings, recommendations, and required controls
  1. Secure Enablement & Integration
  • Work closely with:
    • Security on data protection, identity, logging, and threat modeling
    • Cloud & Networking on connectivity, performance, and scalability
    • Enterprise Architecture on alignment to standards and futurestate design