AI Engineer

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 that define our culture and help bring our brand purpose to life:

• We are stronger as one: We collaborate across the enterprise, scale what works and act decisively for our customers and partners.
• We deliver on commitments: We are accountable, empower each other and go above and beyond for our stakeholders.
• We learn, improve and innovate: We get better each day by challenging the status quo and equipping ourselves for the future.
• We are inclusive: We embrace different perspectives, enabling our colleagues to make an impact and bring their whole selves to work.

The Information Technology organization is the technological foundation of our business and works in collaboration with our partners from across the company. The team drives technology and digital transformation, partners with business leaders to design and execute new strategies through IT and operations services and ensures the necessary IT risk management and security measures are in place and aligned 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 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

Skills and Qualifications

• 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
• 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)

Compensation :

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 area. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered will ultimately be dependent on multiple factors, which may include the candidate's geographic location, skills, experience and other qualifications.

In addition, the position is eligible for a discretionary bonus in accordance with the terms of the applicable incentive plan.

Corebridge also offers a range of competitive benefits as part of the total compensation package, as detailed below.

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.

• 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.

Eligibility for and participation in employer-sponsored benefit plans and Company programs will be subject to applicable law, governing Plan document(s) and Company policy.

We are an Equal Opportunity Employer Corebridge Financial, is committed to being an equal opportunity employer and we comply with all applicable federal, state, and local fair employment laws. All applicants will be considered for employment based on job-related qualifications and without regard to race, color, religion, sex, gender, 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. At Corebridge Financial, we believe that diversity and inclusion are critical to building a creative workplace that leads to innovation, growth, and profitability. Through a wide variety of programs and initiatives, we invest in each employee, seeking to ensure that our colleagues are respected as individuals and valued for their unique perspectives.Corebridge Financial is committed to working with and providing reasonable accommodations to job applicants and employees, including any accommodations needed on the basis of physical or mental disabilities or sincerely held religious beliefs.If you believe you need a reasonable accommodation in order to search for a job opening or to complete any part of the application or hiring process, please send an email to View email address on click.appcast.io accommodations will be determined on a case-by-case basis, in accordance with applicable federal, state, and local law.We will consider for employment qualified applicants with criminal histories, consistent with applicable law.