AI Engineer

About the role

We are seeking a highly motivated AI Engineer with 5+ years of experience to design, build, and deploy AI solutions, including modern agentic AI workflows. This role will focus on developing scalable ML models and intelligent agents using foundation models to automate complex business processes and enhance decision-making.

Responsibilities

• 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
• 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
• 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

Requirements

• 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)

Preferred Qualifications

• Hands-on experience with Amazon Sagemaker and Bedrock for machine learning and generative AI applications
• Familiarity with Bedrock Amazon Guardrails and Knowledge Bases
• Experience designing agentic workflows (multi-agent systems, tool-using agents, autonomous workflows)
• Experience with cloud platforms such as Amazon Web Services
• Knowledge of MLOps practices (Docker, CI/CD, model monitoring)

Skills

• 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)

Benefits

Corebridge offers a range of competitive benefits as part of the total compensation package, including:

• Health and Wellness: Medical, dental, and vision insurance plans, mental health support, and wellness initiatives
• Retirement Savings: 401(k) Plan with generous Company matching contribution
• Employee Assistance Program: Confidential counseling services and resources
• Matching charitable donations: 1:1 match up to $5,000
• Paid Time Off: Up to 24 Paid Time Off (PTO) days
• Volunteer Time Off: Up to 16 volunteer hours annually

Work Location

This position is based in Corebridge Financial’s Woodland Hills, CA, Jersey City, NJ, or Houston, TX office and is subject to our hybrid working policy, which gives colleagues the benefits of working both in an office and remotely.

Estimated Travel

May include up to 25%.

Why Corebridge?

At Corebridge Financial, we prioritize the health, well-being, and work-life balance of our employees. Our comprehensive benefits and wellness program is designed to support employees both personally and professionally, ensuring that they have the resources and flexibility needed to thrive.

Equal Opportunity Employer

We are an Equal Opportunity Employer and committed to being an employer of choice through a wide variety of programs and initiatives. We seek to ensure that our colleagues are respected as individuals and valued for their unique perspectives.