Senior AI-Native Engineering Leader for Enterprise Deployments

Accenture; Boston (MA); On-site; USD 133,000 - 337,000; Full time

Job summary

Accenture is seeking a Forward Deployed AI Engineer in Massachusetts to join our Reinvention Deployment Engineering practice. You will embed with client teams, architect and deploy agentic AI solutions, and drive time-to-value, reliability, and scalability across complex enterprise environments.

Travel may be required; you will lead technical workshops, shape architecture, and deliver production-grade AI platforms using cloud-native technologies and multi-provider pipelines.

Qualifications

• 10+ years engineering experience with cloud-native systems.
• 2+ years of experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models.
• 10+ years of experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
• 10+ years of experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
• 10+ years of experience in client communication and collaboration, including leading technical workshops and delivering under ambiguity.
• Bachelor's degree in CS, Eng, or equivalent or (minimum 12 years) work experience; AI certifications or agentic tool experience is a plus.

Responsibilities

• Lead enterprise AI platform deployments across complex multi-stakeholder client environments, owning the full program from architecture through adoption.
• Own program-level delivery outcomes: time-to-value, reliability, adoption velocity, and scalability across multiple concurrent workstreams.
• Lead rapid experimentation to produce production systems in days or weeks across complex environments.
• Architect and govern enterprise AI solutions across identity, data, security, governance, platform layer, and multi-system workflow integration.
• Shape AI reinvention strategy for client executives: build value architecture, ROI backlogs, use case prioritization, and multi-year adoption roadmaps.
• Define and publish reusable reinvention blueprints, patterns, and accelerators that scale across client engagements.
• Lead architecture design sessions, executive workshops, and code-with sessions with client leadership.
• Codify delivery learnings and engineering standards to grow the FDE practice.

Skills

Cloud-native systems

Agentic AI design

Python/Java programming

Production deployment

Client communication

Education

Bachelor's degree in Computer Science, Engineering, or equivalent

Tools

CI/CD (Terraform, Helm)

Monitoring & observability

OpenAI/Claude/Vertex AI + open-source models

Job description

Accenture is seeking a Forward Deployed AI Engineer in Massachusetts to join our Reinvention Deployment Engineering practice. You will embed with client teams, architect and deploy agentic AI solutions, and drive time-to-value, reliability, and scalability across complex enterprise environments.

Travel may be required; you will lead technical workshops, shape architecture, and deliver production-grade AI platforms using cloud-native technologies and multi-provider pipelines.