Help product engineering teams design and implement scalable AI solutions leveraging WK's GenAI platform
Act as a trusted advisor for navigating technical challenges and designing scalable architectures
Create proof-of-concepts to demonstrate best practices and accelerate adoption
Collaborate with platform engineering teams to identify gaps and propose enhancements
Conduct architecture reviews, threat modeling, and design sessions to ensure security and compliance
Stay up-to-date with the latest AI/LLM patterns and help teams apply them effectively
Mentor engineers and promote knowledge sharing across teams.

Requirements

8+ years of professional software engineering or solution architecture experience
Strong experience designing and implementing cloud-native architectures (AWS/Azure/GCP)
Proven ability to rapidly prototype solutions and demonstrate technical concepts
Excellent problem-solving, ownership, and cross-functional communication skills
Expertise in health, legal, tax, or compliance domains (nice to have)
Experience consulting or working directly with product teams to deliver AI solutions (nice to have)
Familiarity with LangChain, MCP, vector/RAG systems, and OpenSearch (nice to have)
Understanding of LLMs, their failure modes, and techniques like fine-tuning and model adaptation (nice to have)
Experience with regulatory frameworks such as SOC2, HIPAA, etc. (nice to have)
Proven ability to deliver software products independently or as part of a small, fast-paced team.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

cloud-native architecturesAI solutionsproof-of-conceptsarchitecture reviewsthreat modelingLLMsfine-tuningmodel adaptationrapid prototypingcompliance

Soft Skills

problem-solvingownershipcross-functional communicationmentoringknowledge sharing

Certifications

SOC2HIPAA