Design, develop, and deploy machine learning and AI models for business use cases
Design and fine-tune the underlying models, including reasoning chains, tool use, and agent architectures (ReAct, multi-agent frameworks, etc.)
Define agent capabilities, scope autonomous decision-making boundaries, and manage stakeholder expectations around reliability
Design / optimize prompt instructions, personas, tool descriptions, and reasoning scaffolds that guide agent behavior
Develop and orchestrate multi-step AI agents capable of reasoning, tool usage, and workflow execution
Build agentic workflows leveraging foundation models for task automation and decision support
Test AI agents against enterprise systems, APIs, tools, and data platforms
Design benchmarks and automated evaluations to measure agent reliability, accuracy, and safety across diverse scenarios
Work with structured and unstructured data for predictive and generative AI solutions
Manage and mentor a team of Data Scientists, setting clear expectations for model quality, documentation, and production readiness
Collaborate with other data scientists, BI teams, and business stakeholders to translate requirements into AI-driven solutions
Optimize model performance, scalability, and cost efficiency
Monitor deployed models/agents and implement feedback loops and retraining strategies
Document technical designs, agent workflows, and system architecture

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field
4+ years of experience in AI/ML, data science, or applied AI engineering
Strong programming skills in Python
Solid understanding of machine learning fundamentals and evaluation techniques
Familiarity with prompt engineering and working with large language models (LLMs)
Experience with Retrieval-Augmented Generation (RAG) architectures
Experience working with APIs and integrating AI into applications
Familiarity with orchestration frameworks (e.g., LangChain, Semantic Kernel, or similar)

Health and Wellness: We offer a range of medical, dental and vision insurance plans, as well as mental health support and wellness initiatives to promote overall well-being.
Retirement Savings: We offer retirement benefits options, which vary by location. In the U.S., our competitive 401(k) Plan offers a generous dollar-for-dollar Company matching contribution of up to 6% of eligible pay and a Company contribution equal to 3% of eligible pay (subject to annual IRS limits and Plan terms). These Company contributions vest immediately.
Employee Assistance Program: Confidential counseling services and resources are available to all employees.
Matching charitable donations: Corebridge matches donations to tax-exempt organizations 1:1, up to $5,000.
Volunteer Time Off: Employees may use up to 16 volunteer hours annually to support activities that enhance and serve communities where employees live and work.
Paid Time Off: Eligible employees start off with at least 24 Paid Time Off (PTO) days so they can take time off for themselves and their families when they need it.

AI Engineer

Key skills