Forward Deployed AI Engineer - Senior Manager

Accenture PLC; Calgary; On-site; CAD 142,000 - 292,000; Full time

Job summary

Accenture is seeking a Forward Deployed AI Engineer to embed with a client's teams and drive AI transformation from platform choice to enterprise adoption. You will own time-to-value, reliability, adoption, and ROI, ensuring scalable AI outcomes in complex environments.

You will collaborate with client executives, define architecture standards, and codify reusable deployment patterns that scale across industries and geographies.

Qualifications

• Bachelor’s degree or college diploma in a related field.
• 10–15 years of engineering experience with cloud-native systems
• Minimum of 1 year of experience designing and deploying agentic solutions in production
• Minimum of 7 years of experience working with AI platforms (OpenAI, Claude, Vertex AI, or open-source models)
• Experience building abstraction layers to manage multi-provider AI pipelines
• 10–15 years leading software engineering teams
• End-to-end delivery ownership in client-embedded environments
• Experience with enterprise AI deployment initiatives
• Experience defining enterprise AI architecture standards
• Experience working with executive stakeholders on AI strategy
• Experience leading executive workshops or board-level reviews
• Experience developing reusable deployment frameworks or playbooks
• Contributing to engineering standards or capability frameworks

Responsibilities

• Own account-level AI transformation from platform selection to enterprise adoption
• Hold accountability for deployment outcomes: time-to-value, reliability, adoption, and ROI
• Translate executive strategy into production AI systems across the enterprise
• Define AI architecture standards and governance across identity, data, security
• Manage relationships with client CTO, CFO, CISO and reinvention roadmaps
• Codify reusable patterns and playbooks for scaling AI reinvention
• Lead executive workshops and board-level architecture reviews

Skills

Cloud-native systems

APIs & microservices

Containerization

Serverless architectures

Agentic solutions design

AI platforms

Enterprise AI deployment

Leadership of software teams

Executive stakeholder management

Playbooks & frameworks

Engineering standards development

Education

Bachelor’s degree or college diploma

Tools

OpenAI

Claude

Vertex AI

Multi-provider AI pipelines

Job description

Role Description

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 organization, 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

Basic Qualifications

Required qualifications

• Bachelor’s degree or college diploma in a related field.
• 10–15 years of engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverless architectures
• Minimum of 1 year of experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments
• Minimum of 7 years of experience working with AI platforms, including OpenAI, Claude, Vertex AI, or open-source models
• Experience building abstraction layers to manage multi-provider AI pipelines
• 10–15 years of experience leading software engineering teams, including delivery oversight, resource allocation, and professional development of direct reports
• Demonstrated end-to-end delivery ownership in a client-embedded environment
• Experience working directly with enterprise clients on AI deployment initiatives
• Experience defining enterprise AI architecture standards, including identity, data, security, and AI lifecycle management
• Experience working with executive stakeholders (CTO, CFO, CISO) on AI strategy and investment decisions
• Experience leading executive workshops, board-level engagements, or cross-functional architecture reviews
• Experience developing reusable deployment frameworks or playbooks
• Experience contributing to the development of engineering standards, practice models, or capability frameworks

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location,
role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time
employment, for roles that may be hired as set forth below.
The recruiting efforts for this position are intended to fill a brand new position.
The base pay range shown below is intended as a guideline to reflect the majority of offers for this role.
It does not represent a maximum limit — in some cases, actual compensation may exceed the range where appropriate.

Information on benefits is here.

Role Location Annual Salary Range

British Columbia/Ontario/New Brunswick $142,050 to $292,000

#LI-NA-FY25and#LI-MP

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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