Applied AI Engineer - (ML / AI / AGI)

Position Summary

The Applied AI Engineer designs and builds intelligent services and agentic workflows that sit on top of the cloud, data, and application stack. This role creates production-ready solutions for ranking, summarization, retrieval, classification, recommendation, and decision support using Python and governed enterprise AI development practices.

Key Responsibilities:

•   Design and implement AI solutions for ranking, summarization, extraction, classification, recommendation, and conversational workflows.
•   Develop prompt-based and model-based solutions using Python and modern AI orchestration patterns.
•   Work with structured and unstructured data stored or processed in S3, Redshift, Athena, Glue, EMR, and Databricks.
•   Build evaluation, testing, and monitoring approaches for AI-enabled workflows and agentic systems.
•   Partner with business, engineering, and governance stakeholders to translate operational pain points into production AI features.
•   Support reusable prompt libraries, agent patterns, and service interfaces for internal AI products.
•   Contribute to responsible AI practices including grounding, escalation paths, review controls, and measurable success criteria.

Qualifications:

•   5+ years of experience in ML engineering, applied AI, NLP, LLM engineering, or a related field.
•   Strong Python experience.
•   Experience productionizing AI or ML workflows on AWS or similar cloud platforms.
•   Familiarity with Databricks, MLflow, model evaluation, and governed data environments.
•   Experience working with SQL and distributed processing tools such as PySpark.
•   Experience with SageMaker Studio, AgentCore are plus
•   Strong communication and product collaboration skills.

Preferred Qualifications:

•   Experience with enterprise search, retrieval, recommendation systems, or document intelligence workflows.
•   Exposure to responsible AI controls, policy constraints, or model risk/compliance frameworks.
•   Experience in insurance, financial services, HR tech, staffing, or workflow automation is a plus.