Senior Forward-Deployed AI Engineer — Enterprise AI

Accenture PLC; Washington (District of Columbia); On-site; USD 180,000 - 240,000; Full time

Job summary

Accenture Forward Deployed AI Engineer Senior Manager leads enterprise AI platform deployments, translating strategy into production systems across complex client environments. This role drives time‑to‑value, adoption, reliability, and ROI while interfacing with CTO/CFO/CISO and executive teams.

You will own end‑to‑end AI transformations, governance, and architecture standards, applying across platforms such as OpenAI, Anthropic, and Gemini with enterprise integrations. Travel may be required.

Qualifications

• Bachelor’s degree or college diploma in a related field.
• 10–15 years of engineering experience with cloud‑native systems.
• Minimum of 8 years of experience integrating APIs and building distributed, production systems.
• Minimum of 1 year of experience designing and deploying agentic solutions in production environments.
• Minimum of 1 year of hands‑on experience applying AI‑native and agentic software development practices.

Responsibilities

• Own account‑level AI transformation from architecture through enterprise‑wide adoption and reinvention at scale.
• Hold full accountability for deployment outcomes: quality, time‑to‑value, reliability, adoption velocity, scalability, and ROI.
• Drive ambiguity to resolution at account scale and translate strategy into production AI systems.
• Lead rapid experimentation, prototyping, and deployment of AI‑enabled workflows into real environments.
• Define enterprise AI architecture standards and governance across data, security, and lifecycle management.

Skills

Executive workshops leadership

Client-facing communication

AI deployment experience

Production systems design

Enterprise AI transformation

Education

Bachelor’s degree or college diploma

Tools

APIs

Microservices

Containerization

Serverless architectures

Job description

Accenture Forward Deployed AI Engineer Senior Manager leads enterprise AI platform deployments, translating strategy into production systems across complex client environments. This role drives time‑to‑value, adoption, reliability, and ROI while interfacing with CTO/CFO/CISO and executive teams.

You will own end‑to‑end AI transformations, governance, and architecture standards, applying across platforms such as OpenAI, Anthropic, and Gemini with enterprise integrations. Travel may be required.