Source description
About the role
Reduced Project Risk: Technical risks on projects are significantly reduced through proactive ownership of epic-level technical design, execution, and cross-team dependency resolution accelerated by effective use of Claude for research, code review, and rapid exploration of design alternatives.
Improved Technical Decision-Making: The team makes better technology choices through thorough research, evaluation, and documentation of potential solutions, including informed decisions on when and how to apply Claude, MCP servers, and agentic tooling versus conventional approaches.
Stronger Client Confidence: Client and stakeholder confidence is increased by leading technical discovery sessions and acting as a technical SME during project discussions, including on the pragmatic use of LLMs and AI-assisted development in client deliverables.
Feature & Epic Implementation: Leads implementation for features spanning multiple user stories or services, using Claude Code and agent-driven workflows to accelerate delivery without sacrificing quality.
Architecture & Solution Design: Leads the architecture design for moderately complex solutions, often involving multiple services or systems, and chairs technical reviews including architecting LLM-powered features, agent tool integrations, and MCP server designs.
AI Engineering Leadership: Champions best practices for working with Claude across the pod, prompt design, skill and subagent creation, context management, MCP integrations, evaluation of AI-generated code, and secure / cost-aware usage of the Claude API.
Mentorship & Technical Leadership: Provides technical leadership within the pod, mediates code review disputes, contributes new features and skills to shared AltaML libraries, and assists in the hiring process by conducting technical interviews. Coordinates the work of other engineers and levels them up on modern AI-assisted development.
Client Engagement & Discovery: Leads technical discovery sessions with clients to clarify requirements, define technical scope, and identify where Claude-powered features or agentic workflows unlock real product value.
Testing & Quality Strategy: Implements higher-level testing strategies, including integration and end-to-end tests for deployed solutions, plus evaluation harnesses for LLM-powered features (regression tests for prompts, agent behaviours, and tool use).
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