AI Engineer

At Corebridge Financial, we believe action is everything. That’s why every day 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.

We align to a set of values that are the core pillars defining our culture and bringing our brand purpose to life:

• We are stronger as one: collaborate across the enterprise, scale what works, and act decisively for our customers and partners.
• We deliver on commitments: hold ourselves accountable, empower each other, and go above and beyond for stakeholders.
• We learn, improve, and innovate: challenge the status quo and equip ourselves for the future.
• We are inclusive: embrace diverse perspectives so colleagues can make an impact and bring their whole selves to work.

Who You’ll Work With

The Information Technology organization is the technological foundation of our business. This team drives digital transformation, partners with business leaders to design and execute new strategies, and ensures IT risk management and security measures align with enterprise architecture standards and principles.

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 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 and 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.

Skills and Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a 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.
• 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).

Pay

The anticipated salary range for this position is $122,000 to $148,000 at the commencement of employment for the Jersey City, NJ and Woodland Hills, CA areas. The actual compensation offered will depend on factors including geographic location, skills, experience, and other qualifications. The position is also eligible for a discretionary bonus.

Schedule

This position is subject to our hybrid working policy, which combines in-office and remote work. Estimated travel may include up to 25%.

Work Location

This position is based in Corebridge Financial’s Woodland Hills, CA; Jersey City, NJ; or Houston, TX office.

Benefits

• Health and Wellness: Medical, dental, and vision insurance plans; mental health support and wellness initiatives.
• Retirement Savings: Competitive 401(k) Plan with dollar-for-dollar Company matching contribution up to 6% of eligible pay and a Company contribution equal to 3% of eligible pay (vests immediately).
• Employee Assistance Program: Confidential counseling services and resources.
• Matching Charitable Donations: Corebridge matches donations to tax-exempt organizations 1:1, up to $5,000.
• Volunteer Time Off: Up to 16 volunteer hours annually to support community activities.
• Paid Time Off: Eligible employees start with at least 24 Paid Time Off (PTO) days.