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Capgemini

Senior Forward Deployed Engineer

Capgemini

. Advise C-level stakeholders within large financial services corporate clients on AI .

Posted 11/3/2026full-timeRemote • AustraliaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in advising C-level stakeholders in financial services on AI strategies, while effectively managing AI governance, risk, and compliance frameworks. Proficient in building and evaluating AI agents, utilizing spec-driven development, and delivering measurable value through metrics.

Highest-signal resume keywords
AI Governance, Risk, And ComplianceC-Level Stakeholder AdvisorySpec-Driven DevelopmentBuilding And Evaluating AI AgentsExperience With Azure Or AWS

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonC++C#.NETTypeScriptJavaScriptAI Agent EvaluationMulti-Step OrchestrationKnowledge DesignControl FrameworksLLMOps
Soft Skills
CoachingStakeholder PresentationConsulting
Tools & Technologies
AzureAWSJIRAConfluenceGitHubVS CodeGitHub CopilotCursor
Industry Keywords
Financial ServicesBanking Regulatory ObligationsInsurance Regulatory ObligationsAPRA Prudential StandardsInnerSource Model

Tech Stack

Tools & technologies
AWSAzureJavaScriptPythonTypeScriptC++.NET

About the role

Key responsibilities & impact
  • Advise C-level stakeholders within large financial services corporate clients on AI
  • Lead consulting engagements
  • Build, tune, and evaluate AI agents
  • Apply tool and function calling, controls and identity, multi-step orchestration, and knowledge design
  • Work within AI governance, risk, and compliance frameworks in regulated settings
  • Define and track delivery value through metrics
  • Build and maintain a versioned shared library of skills, rules, prompts, specification templates, checks, and patterns
  • Use AI-assisted engineering and spec-driven, pull-request-based workflows for reviews, merges, and orchestration
  • Coach client staff on AI use while considering risk, compliance, cost, architecture, engineering, delivery, change, and operations
  • Present complex situations to senior stakeholders
  • Lead engineering approaches, trade-off assessments, and risk discussions
  • Understand and address regulatory obligations in banking or insurance

Requirements

What you’ll need
  • Ideally based in Sydney or Melbourne
  • Australian work rights
  • Consulting experience
  • Spec-driven development experience
  • Experience advising C-level stakeholders within large financial services corporate clients
  • Experience building, tuning, and evaluating AI agents, including tool and function calling, controls and identity, multi-step orchestration, and knowledge design
  • Coding in more than one language, such as Python, C++, C#.NET, and TypeScript/JavaScript
  • Experience working within AI governance, risk, and compliance frameworks in regulated settings
  • Understanding of banking or insurance regulatory obligations
  • Experience with Azure or AWS
  • Experience with JIRA, Confluence, GitHub, VS Code, GitHub Copilot, or Cursor
  • Knowledge of the InnerSource model and approach for CI management of AI components
  • Knowledge of control frameworks and model-risk/AI-risk expectations in Australian financial services, including APRA prudential standards such as CPS 230 and CPS 234
  • Experience designing AI Platforms and Control planes
  • Experience with LLMOps and observability, including tracing, cost and latency monitoring, prompt/version control, and agent audit trails
  • Prior forward deployed experience embedded within a client to lead outcomes
  • More than 500K lines of runnable code generated through spec-driven development, based on metrics and full test suites
  • Experience working with third-party suppliers and strategic partners

Benefits

Comp & perks
  • Flexible work arrangements, including remote work and flexible work hours
  • Career growth programs and diverse professional opportunities
  • Certifications in technologies such as AWS and Microsoft Azure
  • Safe and inclusive work environment
  • Staff-led community groups
  • Support with disability access requirements or adjustments to the hiring process