growthroles

Forward Deployed Manager

Accenture accenture.com Open · verified Oct 22, 2026
Madrid Full-time Manager Solutions & Sales Engineering

At a glance

Manager-level Solutions & Sales Engineering role at Accenture. Madrid · full-time · no salary stated · we estimate €41,445–€70,000 across Spain.

Estimated pay

Accenture has not published a salary for this role. The figure below is our estimate, not theirs.

€41,445 – €70,000
What the middle half of mid-level solutions & sales engineering roles in Spain paid, among postings that did state a salary.
Worked out from 6 postings that stated pay, median €68,750. Last updated Oct 18, 2026.
RoleSolutions & Sales Engineering
SeniorityManager
LocationMadrid
EmploymentFull-time
PostedJul 31, 2026 · 2mo ago
Role brief

growthroles summary, based on the employer's posting.

What you'll do

  • Own account-wide AI transformation from platform and architecture choices through adoption at enterprise scale
  • Hold client leadership accountable for deployment results across time-to-value, reliability, adoption, and ROI
  • Turn executive strategy into production AI systems that operate across complex enterprise environments
  • Set architecture and governance for identity, data, security, integrations, and AI lifecycle management
  • Create reusable deployment standards, playbooks, and talent frameworks for the FDE practice

What you bring

  • Deep engineering experience with cloud-native APIs, microservices, containers, and serverless systems
  • Production experience designing and deploying agentic systems using orchestration, RAG, context engineering, and workflows
  • Hands-on expertise across OpenAI, Claude, Vertex AI, and open-source models, including multi-provider abstraction layers
  • A record of leading software engineering teams, assigning resources, overseeing delivery, and developing direct reports
  • Client-embedded deployment ownership with measurable business impact and credibility with CTO, CFO, or CISO stakeholders

Who this fits

You’ll suit a senior engineering leader who has owned production deployments inside client environments and can express their value in financial terms. The role combines enterprise architecture, executive engagement, engineering leadership, and practice-building rather than consulting, research, or project delivery. Non-linear career paths are welcomed when deployment experience and outcome ownership are clear.

From the employer

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

  • Own account-level AI transformation across the client enterprise — from platform selection and architecture through to enterprise-wide adoption and reinvention at scale

  • Hold full accountability for deployment outcomes at account level: time-to-value, reliability, adoption, and ROI — directly reported to client executive leadership

  • Drive ambiguity to resolution at account scale: translate executive-level strategic intent into production AI systems operating across the enterprise

  • Define enterprise AI architecture standards and governance frameworks across the client organisation, spanning identity, data, security, multi-platform integration, and AI lifecycle management

  • Own the relationship with client CTO, CFO, and CISO: shape AI investment strategy, board-level narrative, and multi-year reinvention roadmap

  • Codify reusable patterns and playbooks that define what enterprise AI reinvention looks like — assets that scale across markets, industries, and the FDE practice globally

  • Lead executive workshops, board-level engagements, and cross-practice architecture reviews that shape the client’s AI reinvention trajectory

  • Define the FDE practice model: engineering standards, deployment playbooks, talent development frameworks, and the capability architecture that the practice is built on

Basic Qualifications

  • Very strong engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).

  • Expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.

  • Strong experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models, including building abstraction layers to manage multi-provider pipelines.

  • Very strong experience leading software engineering teams: overseeing delivery, allocating resources across workstreams, and owning the professional development of direct reports"

  • 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

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