Personally build the most complex AI solutions Cyber Architecture and Solutions delivers using LangChain, LlamaIndex, vector databases and production Python
Build the shared SDK, evaluation harness and reusable components the agent and platform workstreams both depend on
Lead the hardest engineering problems in the agentic framework build
Develop reusable engineering components, libraries and patterns the wider team builds on
Build to the architecture specification and raise design problems early rather than engineering around them
Requirements
Nice to have: CI/CD pipelines for AI and ML platforms
Nice to have: LLM evaluation frameworks (Ragas, DeepEval or equivalent)
Nice to have: AI red-teaming tools such as Garak or PyRIT
Nice to have: Cloud platform engineering on Azure or GCP
Nice to have: Code review of junior engineers' work
Embeds with enterprise clients to design, build and operationalize agentic AI solutions in production, integrating with enterprise platforms and systems of record.
Responsibilities
Lead technical discovery and scope agentic AI use cases
Design target architectures for client environments
Write production-grade code within client source control and CI/CD
Build and tune retrieval pipelines, prompt architecture, guardrails, and human-in-the-loop controls
Implement enterprise-safe agent tool execution with permission scoping and audit trails
Requirements
Bachelor’s degree in computer science, engineering, information systems or related field
Nice to have: Experience as a Forward Deployed Engineer, Applied AI Engineer or equivalent embedded delivery role
Nice to have: Knowledge of additional agentic AI platforms
Nice to have: Experience with enterprise identity and secrets management
Nice to have: Experience with enterprise data quality and lineage