Forward Deployed AI Engineer - Associate Manager

Accenture PLC; Washington (District of Columbia); On-site; USD 120,000 - 210,000; Full time

Job summary

Accenture is seeking a Forward Deployed AI Engineer‑Associate Manager to lead enterprise AI deployments inside client environments. You will own the full programme from architecture to adoption, driving time‑to‑value, reliability, and scalability across multiple workstreams with measurable business outcomes.

The role blends hands‑on prototyping with strategic oversight, requiring deep experience in AI platforms, security, governance, and cross‑functional collaboration.

Qualifications

• Bachelor’s degree or college diploma in a related field.
• 7+ years leading software engineering teams and delivery oversight.
• 5+ years of client‑facing communication and collaboration, including executive workshops.
• Experience with AI platforms (OpenAI, Anthropic, Vertex AI) and multi-provider pipelines.
• Experience defining enterprise AI architecture across identity, data, security, governance, and integrations.

Responsibilities

• Lead enterprise AI platform deployments across complex client environments, owning architecture through adoption and scaling.
• Drive rapid experimentation to production in days/weeks with prototyping and deployment of AI-enabled workflows.
• Architect and govern AI solutions across the full tech stack, including privacy and security considerations.
• Shape AI reinvention strategy for client leadership, building ROI backlogs and adoption roadmaps.
• Codify delivery learnings into reusable blueprints and accelerators for scale across client engagements.
• Lead architecture design sessions and executive workshops with client leadership teams.
• Collaborate with product, engineering, data, and business stakeholders to deliver technically sound solutions.

Skills

Client facing communication

Leadership & people management

AI deployment

Architecture design

Executive workshops

Education

Bachelor’s degree

Tools

OpenAI

Anthropic

Gemini

SAP

ServiceNow

Salesforce

Job description

English-1st. Relocation-friendly. Curated daily by Imagine.

Accenture

Forward Deployed Engineer Associate Manager | Mid-Level | Full time

This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer-Associate Manager 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

• Lead enterprise AI platform deployments across complex multi-stakeholder client environments — Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir — owning the full programme from architecture through adoption and ongoing iteration, with accountability for quality, time-to-value, reliability, adoption velocity, and scalability across multiple concurrent workstreams, with commercial metrics attached.
• Lead rapid experimentation at pace: drive ambiguous business problems to working production systems in days or weeks across complex enterprise environments through hands‑on prototyping, iteration, and deployment of AI‑enabled workflows, agents, copilots, and automations into real operational environments.
• Architect and govern enterprise AI solutions across the full technology stack: identity, data, security, governance, platform layer, and multi‑system workflow integration at programme scale, including prompt and workflow design, API integrations and orchestration, enterprise knowledge integration, and privacy considerations. Provide technical leadership and best practices for responsible, secure, and scalable AI deployment.
• Shape AI reinvention strategy for client CTO, CFO, and CISO: build value architecture, ROI backlogs, use case prioritization frameworks, and multi‑year AI adoption roadmaps
• Codify delivery learnings, failure patterns, and engineering standards into reusable reinvention blueprints, patterns, and accelerators; define and publish these assets to scale across multiple client engagements, grow the FDE practice, and enable the next generation of forward deployed engineers.
• Lead architecture design sessions, executive workshops, and code‑with sessions with client engineering and C‑suite leadership teams
• Work directly with clients and internal teams to understand business problems, shape AI use cases, and define technical solutions from ambiguous or evolving requirements. Serve as the technical bridge between product, engineering, data, and business stakeholders, ensuring solutions are technically sound, usable, and aligned with business value.
• Design and implement end‑to‑end AI solutions, integrating LLMs and AI services such as OpenAI, Anthropic, and Gemini with enterprise platforms including SAP, ServiceNow, Salesforce, data platforms, and internal systems.

At Accenture, we hire the best people and help them become even better through world‑class training, career counseling, mentoring and support to help you maintain professional success.

Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.

Basic Qualifications

Required qualifications

• Bachelor’s degree or college diploma in a related field.
• Minimum of 1 year of experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments
• Minimum 1 year of hands‑on experience applying AI-native and agentic software development practices across the software development lifecycle, including spec-driven development and the use of AI coding agents to accelerate software design, coding, testing, debugging, modernization, documentation, and delivery.
• Minimum of 1 year of experience with AI platforms (OpenAI, Claude, Vertex AI, or open‑source models), including building abstraction layers for multi‑provider pipelines, with experience working with enterprise AI platforms such as Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir.
• Minimum of 7 years of experience leading, managing, and developing software engineering teams, including delivery oversight, resource allocation, performance management, development planning, and professional development of direct reports.
• Minimum of 5 years of experience in client‑facing communication and collaboration, including leading technical discussions, workshops, or delivery sessions under ambiguity, with experience leading executive workshops, architecture design sessions, or cross‑functional technical engagements.
• Minimum of 5 years of experience translating high‑level business needs into concrete technical designs and implementations in large enterprise‑wide organizations or a professional services firm.
• Demonstrated end‑to‑end delivery ownership in a client‑embedded environment, including experience leading enterprise AI deployments across multi‑stakeholder environments.
• Experience defining enterprise AI architecture across identity, data, security, governance, and multi‑system integrations
• Experience working directly with senior stakeholders (CTO, CFO, CISO) on AI strategy and investment decisions

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.

Role Location Annual Salary Range
British Columbia/Ontario/New Brunswick $100,300 to $216,700

#LI-NA-FY25 and #LI-MP

Requesting an Accommodation

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