We’re looking for a Senior Artificial Intelligence Engineer to join our Technology team. You will be a technical reference in designing, architecting, and delivering scalable Generative AI solutions, acting as a bridge between technical innovation, data security, and business impact.
You’ll work within a stable team, owning the architecture and evolution of our AI solutions over time. The ideal candidate combines strong cloud experience (especially AWS), hands‑on expertise in LLMs, AI agents, and Generative AI architectures, a security‑first mindset, and the maturity to make architectural decisions independently while providing technical guidance to other team members.
Responsibilities
- Define architecture standards for Generative AI solutions, driving design decisions that impact multiple squads and products.
- Design, develop, and integrate end‑to‑end AI solutions with a focus on scalability and maintainability.
- Build and evolve AI agents and intelligent automations, including multi‑agent workflows where applicable, to solve real business and engineering problems at scale.
- Explore and implement AI‑assisted development practices (code generation, refactoring, testing assistance) to improve our own software development lifecycle.
- Define and implement robust security strategies for language models, focusing on mitigating risks such as prompt injection and sensitive data leakage (ensuring compliance with healthcare/HIPAA regulations).
- Connect Generative AI models with internal APIs, establishing reusable integration patterns for the team.
- Lead POCs from technical ideation through validation, QA, and production transition, including feasibility assessment and architecture trade‑off decisions.
- Define and evolve testing pipelines for non‑deterministic flows (Generative AI), ensuring accuracy in benefits and eligibility responses.
- Support the growth of mid‑level and junior engineers through code reviews, pair programming, and knowledge sharing.
- Act as the technical reference in discussions with Product Managers, technical leadership, and QA teams, translating business goals into architectural decisions.
Nice‑to‑Haves
- Anthropic certification (e.g., Claude/API certifications) is a plus.
- Experience with multi‑agent orchestration frameworks such as LangGraph, CrewAI, AutoGen, or similar.
- Experience with AI‑assisted modernization and legacy migration strategies.
- Experience in the healthcare sector (Healthtech), with an understanding of health plan workflows, claims, and medical data protection.
- Experience with Kubernetes, containers, and infrastructure automation.
- Prior experience mentoring or providing technical leadership to other engineers.
Benefits
- Health and dental insurance
- Meal and food allowance
- Extended paternity leave
- Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
- Profit Sharing and Results Participation (PLR)
- Life insurance
- Continuous learning platform (CI&T University)
- Discount club
- Free online platform dedicated to physical, mental, and overall well‑being
- Pregnancy and responsible parenting course
- Partnerships with online learning platforms