4 days ago
Oslo, NorwaySenior
Responsibilities
- Design, build, deliver, integrate, and test software components across the AI architecture.
- Design agent architectures, including prompts, tools, skills, multi-agent orchestration, task handoffs, state management, error recovery, and memory systems.
- Evaluate architecture options and technical frameworks while balancing capability, cost, performance, and enterprise reliability.
- Build evaluation strategies and harnesses for agent and system accuracy, relevance, and faithfulness.
- Architect foundation-model integrations, including model selection, invocation patterns, fine-tuning, retrieval-augmented generation, and custom model integration.
- Design model adaptation and fine-tuning pipelines using transformer-based architectures.
- Build context graphs, ingestion pipelines, embeddings, vector storage, semantic and hybrid retrieval, reranking, and end-to-end RAG pipelines.
- Implement context assembly and conversational-memory components for grounded AI outputs.
- Optimize model usage, inference, caching, resource utilization, latency, throughput, and cost.
- Implement security, Responsible AI, governance, versioning, audit logging, lineage tracking, model documentation, observability, alerting, and cost tracking.
- Produce architecture decision records, blueprints, design documents, orchestration and integration specifications, component diagrams, and data-flow diagrams.
- Collaborate with data engineers, ML engineers, and application developers on client delivery engagements.
Requirements
- Bachelor's degree or equivalent.
- Proven experience designing and deploying enterprise-grade advanced AI solutions using agentic, generative, and classical AI/ML with at least one cloud vendor.
- Practical experience in agentic AI, LLM, and generative AI.
- Professional working experience coding engineering, machine learning, deep learning, and NLP solutions and applications.
- Strong Python coding ability.
- Solid foundation in architecting and operationalizing LLM-driven application architecture patterns.
- Several years of hands-on industry experience as a machine learning architect designing big-data, machine-learning, and large-scale analytical engineering solutions.
Tech Stack
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.