Senior AI-Native Platform Engineering Manager

Accenture; New York (NY); On-site; USD 123,000 - 366,000; Full time

Benefits offered by this job

Medical benefits

401(k) plan

Paid holidays

Paid time off

Job summary

Accenture is seeking Forward Deployed AI Engineers to embed with enterprise teams and scale AI-native workflows. You will own end-to-end deployments, drive adoption, reliability, and time-to-value across complex environments, including partnerships with leading AI platforms.

This role demands strategic thinking, hands-on coding, and the ability to translate platform capabilities into measurable business outcomes in real-world settings.

Qualifications

• 10 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• 1 year deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
• 2 years of experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
• 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 or 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 — Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir — 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, 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.
• Architect and govern enterprise AI solutions across the full technology stack: identity, data, security, governance, platform layer, and multi-system workflow integration at program scale.
• 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.
• Define and publish reusable reinvention blueprints, patterns, and accelerators that scale across multiple client engagements and grow the FDE practice.
• Lead architecture design sessions, executive workshops, and code-with sessions with client engineering and C-suite leadership teams.
• Codify delivery learnings, failure patterns, and engineering standards that shape the FDE practice and enable the next generation of forward deployed engineers.

Skills

Cloud-native systems

Agentic AI engineering

AI platforms

Python/Java programming

Production deployments

Client communication

Education

Bachelor's degree in Computer Science or Engineering

Tools

Terraform

Helm

Job description

Accenture is seeking Forward Deployed AI Engineers to embed with enterprise teams and scale AI-native workflows. You will own end-to-end deployments, drive adoption, reliability, and time-to-value across complex environments, including partnerships with leading AI platforms.

This role demands strategic thinking, hands-on coding, and the ability to translate platform capabilities into measurable business outcomes in real-world settings.