Senior Machine Learning Engineer at Itaú, driving innovation with data and AI solutions. Collaborating across teams to implement robust machine learning architectures and ensure scalable deployments.
About the role
- AI/ML Engineer responsible for architecting and building production-grade AI systems for The Hartford. Collaborating with teams to develop solutions that integrate AI into operational processes and systems.
Responsibilities
- Architect, build, and deploy production-grade AI systems
- Collaborate with Data Science Practitioners, LOB IT leads, EA, Data, and AI architects to develop solutions
- Design, build and maintain scalable Agentic AI systems
- Implement Evaluation-driven development harness
- Build full stack AI Agents
- Contribute to our starter packs (ADK/MCP)
- Collaborate with AIOps, Platform, and Cloud teams to set up infrastructure
- Develop advanced RAG systems to enhance accuracy and relevancy
- Instrument AI observability using OpenTelemetry (OTel) tooling
- Build scalable, fault-tolerant solutions on AWS and/or GCP in a multi cloud ecosystem.
Requirements
- A bachelor's or master’s degree in computer science, Software Engineering, Data Science, or a closely related discipline
- 8+ years of experience in Machine Learning, Software Engineering or related field, with at least 5+ years focused on AI or ML
- 2+ years of experience in GenAI/Agentic AI, RAG, semantic search, embedding models, representation & generative models (BERT, GPT)
- Strong programming skills in Python and experience with FastAPI, Asynio, & Pydantic
- Experience with single and multi-agent frameworks such as ADK, LangChain, LangGraph, and/or CrewAI
- Strong hands-on experience in GenAI AI tools and platforms, including AWS Sagemaker/Bedrock, Google Vertex AI, Vertex AI Search and Vertex AI RAG Engine
- Proven experience designing and delivering production-grade APIs, microservices & SDKs
- Experience with software engineering best practices (Ex. SOLID, 12 FACTOR App, Arch Sagas, Design patterns)
- Experience in designing, building, and deploying data, ML, & RAG pipelines (FTI)
- Demonstrated proficiency with agile development methodologies, including SAFe
- Experience with NodeJS , JavaScript, Typescript, React is a plus
- Experience with IAM, MSFT Entra, Okta, oAuth2.1, SAML, OIDC is a plus
- Understanding data structures, big data technologies (i.e. Hadoop, Spark, Hive, etc.), NoSQL and RDBMS is a plus
- Candidate must be authorized to work in the US without company sponsorship.
Benefits
- Health insurance
- Retirement plans
- Flexible work arrangements
- Professional development
- Bonuses
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