Inactive
C

Capgemini

Global consulting, technology services, outsourcing

Forward Deployed Engineer - Managing Consultant, Digital Factory

AI Application Engineering +1Posted on Sep 30
Full-timeNo salary listed

About the Job

Requirements

  • Significant experience as a senior or principal-level software engineer or architect, with a track record of owning systems end to end in production.
  • Demonstrated client-facing or customer-facing experience in a consulting, professional services, or startup environment, with accountability for both code and client outcomes.
  • Experience working directly with senior stakeholders, including running workshops and presenting technical strategy to non-technical audiences.
  • Deep experience building production microservices, ideally using Python or TypeScript.
  • Strong experience with React and TypeScript, using frameworks such as Next.js or Vite.
  • Hands-on experience designing and deploying agentic architectures using frameworks such as LangChain, LangGraph, CrewAI, or the Anthropic Agent SDK, including tool use, MCP servers, and multi-agent orchestration.
  • Practical production experience with LLM providers such as Anthropic, OpenAI, Mistral, and Llama, and an informed view on model-selection trade-offs.
  • Strong proficiency with AWS, Azure, or GCP, including designing for scale, security, and cost.
  • Hands-on experience with Docker, Kubernetes, and Docker Compose.
  • Proficiency with Terraform or equivalent infrastructure-as-code tooling.
  • Experience with evaluation-driven development and LLM observability tooling such as Langsmith, Langfuse, Braintrust, or similar.
  • Comfort owning CI/CD pipelines end to end, including GitHub Actions, GitLab CI, or Jenkins.
  • Experience with vector databases such as ChromaDB, Pinecone, PGVector, Qdrant, or MongoDB Vector Search; familiarity with NoSQL databases, preferably MongoDB, and SQL databases such as PostgreSQL.
  • Commercial awareness to reason about effort, scope, and value trade-offs and contribute to how work is priced and structured.
  • Ability to communicate in writing and verbally, adapting technical detail for engineering, delivery, and executive audiences.
  • Ability to present architecture decisions and defend technical positions to senior stakeholders.
  • Experience working in agile teams and maturity to operate independently while embedded at client sites.
  • Eligibility for SC (Security Check) clearance is a bonus; already holding active SC clearance is an additional bonus.

Responsibilities

  • Embed directly within client environments, often on-site or hybrid, to design and build bespoke AI and agentic solutions addressing live, high-stakes business problems.
  • Own technical architecture end to end, from initial discovery and stakeholder workshops through production deployment, and take personal accountability for delivery quality.
  • Move between hands-on coding across backend, frontend, and infrastructure and senior stakeholder engagement, including presenting architecture, trade-offs, and roadmaps to Director- and C-suite-level audiences.
  • Rapidly prototype solutions in ambiguous, fast-moving environments and harden them into robust, scalable, secure production systems.
  • Build and run evaluation frameworks that give clients confidence in model and system behaviour, treating evaluations as a first-class part of the delivery lifecycle.
  • Act as a technical anchor for delivery teams by setting engineering standards, unblocking difficult problems, and mentoring engineers in evaluation-driven development and agentic best practice.
  • Shape commercial conversations by sizing effort, identifying scope risk, and contributing to how engagements are structured and priced.
  • Build and protect trust with client technical leadership, linking what is technically possible to business needs.
  • Lead technical workstreams on proposals, requests for proposals, and client pitches, and act as a technical authority in sales conversations.
  • Shape new propositions around agentic AI and forward-deployed delivery models.
  • Define engineering standards and reusable patterns for agentic delivery across accounts.
  • Contribute to practice-building, recruitment, and capability development for the wider AI engineering community.
  • Contribute to thought leadership on forward-deployed engineering as a delivery model.

Desired Qualifications

  • Training and certifications aligned to emerging cloud, AI, and architecture domains.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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