AI Platform and Solutions Engineer

Invent the future with us.

Ampere is a semiconductor design company leading the future of computing with an innovative approach to CPU design focused on high-performance, energy efficient AI compute.

As an AI Platform & Solutions Engineer you will build and operate Ampere’s internal AI platform and user‑facing tools. You’ll deliver secure AI applications (chat, agent, workflow UIs), develop integrations that connect LLMs to enterprise systems, and run core platform components (vector/RAG services, model access, deployments, monitoring). Your work will improve developer productivity, knowledge discovery, and operational automation while protecting Ampere IP.

AI Infrastructure & Platform Operations

• Core stack:
  Python + FastAPI, Svelte/Svelte Kit + Type Script, Azure, Microsoft Entra.
• AI infrastructure management:
  Own and evolve core components like vector/RAG services, model access, model serving environments, and underlying compute.
• Containerization & deployment:
  Package and deploy services with Docker, primarily to Azure VMs.
• Observability & reliability:
  Implement logs/metrics/traces using Azure Monitor/Application Insights, build dashboards, and configure actionable alerts.
• Secrets, config, and access:
  Manage secrets via Key Vault, use managed identities, and enforce least‑privilege access patterns.
• CI/CD:
  Build pipelines (Git Hub Actions and/or Azure Dev Ops) for build/test/deploy across environments.

Backend Services, RAG, and Enterprise Integrations

• Backend development:
  Build and extend FastAPI services with endpoints, adapters, background jobs, structured payloads, pagination, and error handling.
• Model Context Protocol (MCP) / tool integrations:
  Design and maintain MCP‑style tools and connectors linking models/agents to enterprise systems like Jira/Confluence, ticketing systems, knowledge bases, Net Suite/manufacturing tools, and internal services.
• RAG implementation:
  Build practical RAG foundations: chunking, embeddings, retrieval filters/metadata, batch upserts, and index maintenance across vector/search systems.
• LLM integration:
  Integrate with LLM APIs (Azure Foundry/Google Vertex AI) including streaming and tool/function calling.

AI Apps, Agents, and Workflow Surfaces

• Internal AI web apps:
  Own user‑facing web UIs with strong fundamentals around routing, SSR, state, performance, and accessibility.
• Real‑time AI UX:
  Implement streaming responses via SSE/Web Sockets, resilient chat/task interfaces, incremental rendering, retries, and degraded‑mode handling.
• Agents and workflow automation:
  Build multi‑step agents and workflows with tool calls, approvals, progress events, audit trails, and safe failure modes.
• Solution delivery:
  Ship tools that improve day‑to‑day work, including internal chat/agent apps, workflow automation, and developer productivity integrations.

Security, Identity, and Safe Enterprise AI

• Authentication and authorization:
  Implement Microsoft Entra  for web apps/APIs using OIDC/OAuth2 (MSAL), validate tokens (JWT/JWKS), and enforce scopes/RBAC.
• Data protection and auditability:
  Ensure safe enterprise use of LLMs with clear permission boundaries, logging/audit trails, and secure handling of sensitive data.

Platform Enablement

• Partner with internal teams (engineering, manufacturing, ops) to gather requirements, translate them into working systems, document architecture and playbooks, and support adoption.

• Bachelor's degree & 2 years of related experience; or an advanced degree without experience.
• Software engineering experience delivering production systems.
• Strong Python proficiency (required) with experience building production services (FastAPI preferred).
• Frontend capability:
  Strong Type Script/JavaScript fundamentals and experience with a modern framework (Svelte preferred; React/Vue acceptable).
• Hands‑on experience integrating LLM APIs including streaming and tool/function calling.
• Working understanding of RAG and vector search fundamentals.
• Experience deploying and operating applications in cloud environments (Azure strongly preferred).
• Practical knowledge of REST APIs and integration patterns.
• Working understanding of OIDC/OAuth2 and web auth…