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Listed on Accenture’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A senior technical leadership role guiding enterprise-scale AI system delivery for customer service platforms, spanning architecture, team leadership, and client advisory work. Suited to experienced production AI engineers who have shipped agentic systems to regulated environments and can mentor teams while advising C-suite stakeholders.
Our summary, not Accenture’s wording. The full posting is on their site.
Skills this role names
- Agentforce
- Amazon Connect
- CI/CD
- CrewAI
- Gemini
- Genesys Cloud
- LangChain
- LangGraph
- LlamaIndex
- Multi-Agent Systems
- OpenAI
- Pinecone
- Prompt Engineering
- Python
- Weaviate
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What they ask for
Required
- Production experience shipping AI systems to enterprise, not prototypes
- Python and hands-on AI engineering background
- Architected and delivered RAG pipelines, multi-agent systems or LLM products at scale
- Deep hands-on experience with AWS Bedrock, GCP Vertex AI or Azure AI Studio
- Designed eval frameworks, red-teaming and quality measurement for AI systems
- Portfolio or track record of production AI in regulated or enterprise settings
- Led engineering teams in agile, client-facing delivery
- Technical leadership and team management experience
- Communicates complex technical topics to senior stakeholders
- Architecture decision-making under delivery pressure
Nice to have
- AWS, GCP, Azure or Anthropic certifications
- Open-source contributions to agentic or LLM tooling
- Contact centre platform experience
- EU AI Act or AI governance certifications or published guidance
- Experience in Telco, Financial Services or Public Sector