AI Solution Architect II
Teknik, data och digitalt · Mjukvaru- och webbutveckling · Mjukvaruutveckling · Artificiell intelligens
I korthet
As an AI Solution Architect II, you will lead the strategy and delivery of AI solutions across a hybrid landscape, integrating frontier models with smaller language models and edge inference. This role requires deep technical expertise in AI, including multi-agent architecture, RAG, and GenAI Ops, combined with strategic business acumen to advise clients and lead complex AI initiatives.
Ansvarsområden
- Guide the strategy and delivery for interoperable, compliant, and economically viable modern AI solutions.
- Architect solutions across a Hybrid AI landscape, blending Frontier Models (Azure OpenAI/Gemini) with Cost-Efficient Small Language Models (SLMs) and Edge Inference.
- Define and govern reference architecture for multi-agent systems, covering hierarchical, peer-to-peer, and sequential (ReAct) orchestration models.
- Architect the standards for integrated memory systems, including short-term session state, long-term knowledge via vector databases and knowledge graphs, and episodic/audit memory.
- Define architectural patterns for end-to-end RAG pipelines, including chunking, embedding, vector search (e.g., Azure Cognitive Search, pgvector), and reranking.
- Create and maintain decision frameworks for platform selection (e.g., Copilot Studio for Teams integration, Vertex AI for GCP workloads).
- Define the architectural standards for GenAIOps, including CI/CD, IaC, and observability.
- Architect enterprise-wide guardrails for safety (hallucination mitigation), security (prompt injection defense, PII masking), and fairness (bias detection).
- Architect scalable integration patterns for agentic systems with enterprise platforms (Microsoft Entra ID, Teams, Dynamics/Salesforce, ERPs) and compute (Kubernetes).
- Combine technical architecture with strategic guidance, leading C-level workshops on Agentic AI adoption, advising on roadmaps, and shaping technology strategy.
- Mentor other architects and contribute to industry thought leadership.
- Present at industry events and publish articles that advance the AI industry.
Krav
- 8–10+ years in technical leadership, with a strong background in both software engineering and enterprise-scale cloud architecture.
- Architectural expertise with one primary cloud platform (Azure, GCP, or AWS) and hands-on familiarity with at least one other.
- Demonstrated experience architecting and guiding solutions using GenAI platforms (e.g., Azure OpenAI, Vertex AI, or AWS Bedrock).
- Proven experience designing complex RAG pipelines.
- Experience with instruction tuning or fine-tuning strategies for LLMs.
- Exceptional communication skills with demonstrated experience advising senior stakeholders (Director/C-Level) on technical strategy, roadmaps, and governance.
Önskade kvalifikationer
- Deep understanding of, and experience designing or prototyping, advanced multi-agent systems (e.g., task decomposition, collaborative agents).
- Hands-on architectural expertise across all three major clouds (Azure, AWS, GCP).
- Hands-on experience with GenAI Ops tooling.
- Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001) and their practical application.
- AI FinOps & Model Routing.
- Hands-on development experience with one or more orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel).
- Published work (whitepapers, patents), conference speaking engagements, or active contributions to relevant open-source projects.
- Professional-level cloud certifications (e.g., Azure Solutions Architect Expert, AWS Solutions Architect Professional, GCP Professional Cloud Architect).
Förmåner
- Supercharge your potential.
- Find your career.
- Find your spark.
- A place that knows that helping its customers stay on top starts by putting its people first.
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