Note: The job is a remote job and is open to candidates in USA. Accenture is seeking a highly skilled AI Platform Engineer to help design and build the next generation of AI-driven development systems for enterprise engineering teams. The role involves architecting structured agent frameworks, developing scalable systems, and integrating AI into real-world development workflows.
Responsibilities
- Design and implement structured agent harnesses and orchestration frameworks that enable AI coding agents to operate reliably across enterprise codebases
- Develop and enforce architectural constraints and guardrails, including dependency rules, custom linters, and structural validation tests
- Build and maintain context engineering frameworks (e.g., AGENTS.md files, in-repo documentation, feature manifests) to enhance AI reasoning and performance
- Collaborate with engineering teams to integrate AI-driven development workflows into CI/CD pipelines and developer tooling ecosystems
- Deliver scalable agentic engineering infrastructure that supports multi-agent workflows and continuous improvement cycles
- Create multi-session, multi-context workflows enabling incremental AI-driven development through progress tracking and environment scaffolding
- Establish repository-as-source-of-truth models with machine-readable, version-controlled artifacts
- Implement automated feedback loops such as CI validation, end-to-end testing, and LLM-based review systems to continuously improve system performance
Skills
- High School Diploma or GED equivalent
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- 5+ years of experience in software engineering fundamentals, including architecture, CI/CD pipelines, automated testing, and developer tooling
- 1+ year of hands-on experience working with AI coding agents (e.g., Claude Code, Codex CLI, Cursor, Windsurf, or similar) in real-world development environments
- 1+ year of experience with agent orchestration or tool-use patterns, including MCP servers, APIs, or multi-agent frameworks
- Strong understanding of application architecture patterns and enterprise-scale development practices
- Experience building or contributing to developer platforms, internal tooling, or reusable reference architectures used across engineering teams
- Familiarity with context engineering, including structuring repositories, schemas, and documentation for effective AI agent reasoning
- Experience creating technical documentation, such as playbooks, runbooks, or developer guides
- Exposure to or proficiency with multiple programming languages or frameworks (e.g., .NET, Node.js, Python)
- Experience working in AI-first or agent-assisted development environments, where engineers define intent, constraints, and validation approaches
Benefits
- Major medical
- HSA
- Dental
- Vision
- Employer-provided group life
- Voluntary life insurance
- Short-term disability
- Long-term disability
- 401k
Company Overview