Accenture is at the forefront of a new era in enterprise AI, focusing on building and operating AI at scale. As an Advanced AI Full Stack Engineer, you will design and build foundational systems for AI agent platforms, working with technologies like Python and Node.js to create production systems that support AI agents.
Design and build agent orchestration runtimes — stateful execution loops that coordinate tool discovery, model inference, approval gates, and context management
Implement sandboxed execution environments with declarative policy enforcement (network egress, filesystem, compute quotas) that isolate agent workloads at the infrastructure level
Develop pluggable provider interfaces so that sandbox backends (container-based or microVM-based) are swappable without changing agent code
Build Python and Node.js/TypeScript SDKs and CLIs that give developers first-class interfaces for authoring, validating, and running AI agents locally and in enterprise environments
Design REST, gRPC, and event-streaming APIs (WebSocket, SSE) that serve as the communication backbone between agent runtimes, IDE integrations, and platform services
Implement framework adapters that normalize event streams from multiple AI frameworks into a unified platform event model, enabling consistent observability and governance regardless of the underlying agent framework
Build and maintain intelligent inference routing layers that intercept model API calls and dispatch them to on-premise or cloud model endpoints based on data-sovereignty, cost, and capability policies
Engineer multi-tier memory architectures spanning in-process working memory, cross-session relational stores, vector databases for semantic retrieval, and version-controlled procedural pipelines — each backed by swappable provider interfaces
Implement ephemeral credential injection and RBAC-scoped data access so agents operate under least-privilege principles without long-lived secrets in agent code
Instrument platform components with distributed tracing (OpenTelemetry), cost attribution, and P50/P95/P99 latency metrics exportable to standard observability backends
Build CI/CD governance tooling — static validation pipelines that enforce schema correctness, separation-of-duty rules, and regulatory constraints before agent packages are promoted to production registries
Implement human-in-the-loop approval gates and audit-trail mechanisms compatible with enterprise compliance requirements
Work closely with cross-functional teams — AI researchers, product managers, security engineers, and enterprise architects — to align platform capabilities with real-world agent use cases
Provide technical guidance on platform architecture decisions, code reviews, and engineering best practices across the team
Communicate architectural trade-offs and platform roadmap decisions clearly to both technical and non-technical stakeholders
Qualification
Required
Bachelor's degree (or equivalent minimum 12 years work experience, or minimum 6 years' work experience with Associate's degree) in Computer Science, Computer Engineering, or a related field
Minimum of 2 years of experience with Python and/or Node.js/TypeScript building production backend services or platform tooling
Minimum of 1 year of experience building or integrating with AI/LLM systems, agent frameworks, or AI developer tooling
Preferred
4+ years of experience with Python and Node.js/TypeScript, with a strong track record of building and shipping developer-facing platforms, SDKs, or APIs
2+ years of experience in one or more of: agent orchestration frameworks, inference serving infrastructure, sandboxed execution environments, or multi-tenant platform engineering
Hands-on experience with async Python frameworks (FastAPI, asyncio), containerisation and Kubernetes, event-streaming protocols (WebSocket, SSE, gRPC), and vector/relational databases
Familiarity with AI agent protocols (MCP, ACP, A2A), OpenTelemetry instrumentation, and modern AI framework ecosystems (LangGraph, OpenAI Agents SDK, Anthropic Claude SDK)
Master's or PhD in Computer Science, Computer Engineering, or a related field is a plus but not required
Benefits
Medical, dental, vision, life, and long-term disability coverage
A 401(k) plan
Bonus opportunities
Paid holidays
Paid time off
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