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Envision

Consultant, TechOps & AI

Envision

. Understand the client’s context and productivity needs in order to define a realistic agentic TechOps platform tailored to their level of maturity .

Posted 9/17/2026full-timeNeuilly-sur-Seine • FranceMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in implementing agents within TechOps environments, focusing on infrastructure automation, CI/CD, and cloud resource management. Capable of onboarding teams to an AI-first approach while ensuring effective documentation and lifecycle management of agents.

Highest-signal resume keywords
TechOps ImplementationCloud Operations ExperienceInfrastructure Automation KnowledgeCI/CD ProficiencyTicketing Tools Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Agent ImplementationInfrastructure AutomationCI/CDCloud Resource ManagementVersion-Controlled ConfigurationObservabilityDocumentation MethodologyTool-Assisted DesignGovernanceLifecycle Management
Soft Skills
Consulting ExperienceAbility to Assess Cost and Relevance
Tools & Technologies
ServiceNowJira Service ManagementZendesk
Industry Keywords
DevOpsPlatform EngineeringSupport/SREService-Level CommitmentsOn-Call Operations

Tech Stack

Tools & technologies
CloudServiceNow

About the role

Key responsibilities & impact
  • Understand the client’s context and productivity needs in order to define a realistic agentic TechOps platform tailored to their level of maturity
  • Assess the current environment, identify quick wins, and prioritize use cases
  • Define the methodology for documenting, designing, and evolving agents, as well as for creating runbooks and standardizing tools and scripts
  • Build initial agents with teams for real-world TechOps and Cloud Operations use cases
  • Connect agents to existing ticketing systems, monitoring tools, and cloud platforms, with access rights defined according to the principle of least privilege
  • Measure value through real-world use cases, track key metrics, and progressively expand the scope of the agents
  • Determine whether to use an agent, a script, or an improved procedure
  • Onboard teams to an AI-first approach and enable them to operate independently
  • Depending on experience, frame use cases with decision-makers and present a quantified value proposition

Requirements

What you’ll need
  • Hands-on experience implementing agents in a TechOps environment, even on a small scale or as a personal project
  • Experience in DevOps, Cloud Operations, platform engineering, support/SRE, or Product Ownership within a TechOps or platform environment
  • Experience operating production environments for DevOps, Cloud Operations, or platform engineering roles
  • Knowledge of infrastructure automation, version-controlled configuration, CI/CD, observability, and cloud resource management
  • Knowledge of ticketing tools such as ServiceNow, Jira Service Management, or Zendesk
  • Knowledge of service-level commitments, escalations, and on-call operations
  • Methodological understanding of agents: reliable documentation, tool-assisted design, testing, governance, and lifecycle management
  • Ability to assess the cost and relevance of agents
  • Well-supported perspective on integrating an agentic approach into the profession
  • Consulting experience is a plus
  • Professional English is essential

Benefits

Comp & perks
  • Direct access to AI training and certifications through the SFEIR Institute
  • Technical support from the SFEIR Group
  • Direct collaboration with operational teams
  • A human-sized consultancy where every contribution matters