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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
• 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

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)
• Hands-on experience with Amazon Sagemaker and Bedrock for machine learning and generative AI applications
• Familiarity with Bedrock Amazon Guardrails and Knowledge Bases
• Hands-on experience with Amazon AgentCore for running agentic AI applications
• 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

• Python
• Machine Learning
• AI
• Data Science
• Prompt Engineering
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• APIs
• Orchestration Frameworks (LangChain, Semantic Kernel)
• Amazon Sagemaker
• Amazon Bedrock
• Bedrock Amazon Guardrails
• Bedrock Knowledge Bases
• Amazon AgentCore
• Agentic Workflows
• Multi-agent Systems
• Tool-using Agents
• Autonomous Workflows
• Cloud Platforms (AWS)
• MLOps (Docker, CI/CD, Model Monitoring)

Location

• Woodland Hills, CA
• Jersey City, NJ
• Houston, TX

Work Type

• Hybrid

Experience Level

• 5+ years of experience
• 4+ years of experience in AI/ML, data science, or applied AI engineering

Education Level

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field

Salary/Compensations

• $122,000 to $148,000

Benefits

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

About the Company

• At Corebridge Financial, we believe action is everything. We partner with financial professionals and institutions to make it possible for more people to take action in their financial lives, for today and tomorrow.
• Corebridge Financial is committed to being an equal opportunity employer and complies with all applicable federal, state, and local fair employment laws.
• Diversity and inclusion are critical to building a creative workplace that leads to innovation, growth, and profitability.
• Corebridge Financial is committed to working with and providing reasonable accommodations to job applicants and employees.

Equal Opportunity

• All applicants will be considered for employment based on job-related qualifications and without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, neurodivergence, age, veteran status, or any other protected characteristic.
• The Company is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
• We will consider for employment qualified applicants with criminal histories, consistent with applicable law.