Forward Deployed AI Engineer H/F

Posted 2 Days Ago
Be an Early Applicant
Paris, Île-de-France, FRA
In-Office
Expert/Leader
Information Technology
The Role
Deploys and operationalizes AI platforms within enterprise client environments. Responsibilities include designing AI architectures, building production agentic solutions, integrating identity, data, security, governance, and workflows, and owning reliability, adoption, scalability, and business value. The role involves rapid prototyping, production deployment, client workshops, executive stakeholder engagement, reusable accelerator development, and enabling client teams to operate solutions independently.
Summary Generated by Built In

This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational environments. You own outcomes: time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes. 

 

The market is beginning to understand what leading technology companies have demonstrated: AI products fail not because the models are weak but because deployment is broken. The gap between a successful AI pilot and an AI capability that scales is bridged by engineers who can translate platform capability into measurable business value inside a real enterprise environment. That is this role. 

Forward Deployed AI Engineers form the execution spine of our Reinvention Deployment Engineering pods. We are building the largest FDE capability in the services industry. The engineers who join at this stage will define what the role looks like at scale and will have access to the hardest enterprise AI problems in the market across every industry. 


Key Responsibilities 

  • Embed directly with client engineering and business teams to deploy, scale, and operationalize AI platforms — Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir — inside enterprise environments 
  • Own production outcomes end-to-end: time-to-value, reliability, adoption velocity, and scalability, with business metrics attached — not just delivery milestones 
  • Move from ambiguous business problem to working production system through rapid experimentation: days to prototype, weeks to production-ready 
  • Design and govern AI architectures across the full enterprise stack: identity, data, security, governance, platform layer, and workflow integration 
  • Translate technical architecture into business impact for client CTO, CFO, and CISO; shape use case roadmaps, ROI backlogs, and AI adoption strategy 
  • Build reusable patterns, playbooks, and accelerators that the client owns after you leave — enabling the client team to run it without you 
  • Lead design workshops, proofs of concept, architecture walkthroughs, and code-with sessions with client engineering and leadership teams 
  • Codify patterns and delivery learnings that scale across engagements and contribute to the growth of the FDE practice 

  • 3-5 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless). 
  • Minimum of 1 years of deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments. 
  • Minimum of 3 years of experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines. 
  • Minimum of 10 years of experience deploying to production , CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging. 
  • Demonstrated end-to-end delivery ownership in a client-embedded environment, internal projects, vendor labs, or team-only deployments do not qualify 
  • Proven ability to articulate business value: can quantify the impact of deployments in terms a CFO would recognize and act on 
  • Experience presenting to and building trust with senior client stakeholders, CTO, CFO, or CISO level 
  • Non-linear profiles are expected and welcomed, assessment is based on demonstrated deployment experience and outcome ownership, not CV pattern matching 

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Déclaration d'égalité des chances en matière d'emploi

Nous pensons que personne ne devrait être discriminé en raison de ses différences. Toutes les décisions d'embauche doivent être prises sans distinction d'âge, d'origine ethnique, de croyance, de couleur, de religion, de sexe, d'origine nationale, d'ascendance, de handicap, de statut d'ancien combattant, d'orientation sexuelle, d'identité ou d'expression de genre, d'informations génétiques, de statut matrimonial, de citoyenneté ou de tout autre critère protégé par la loi applicable. Notre riche diversité nous rend plus innovants, plus compétitifs et plus créatifs, ce qui nous permet de mieux servir nos clients et nos communautés.


Skills Required

  • 3–5 years of engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverless technologies.
  • At least 1 year of deep expertise designing and deploying production agentic solutions, including agents, orchestration, context engineering, RAG, and workflows.
  • At least 3 years of experience with AI platforms such as OpenAI, Claude, Vertex AI, and open-source models.
  • At least 10 years of experience deploying production systems, CI/CD, infrastructure as code, Terraform, Helm, monitoring, and debugging.
  • Experience building abstraction layers for multi-provider AI pipelines.
  • End-to-end delivery ownership in a client-embedded environment.
  • Ability to quantify deployment impact and articulate business value to financial and executive stakeholders.
  • Experience presenting to and building trust with CTO-, CFO-, or CISO-level stakeholders.

Accenture Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.

  • Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
  • Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
  • Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.

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The Company
HQ: Dublin
456,553 Employees
Year Founded: 1989

What We Do

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.

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