AI Engineer

About this role

Who We Are

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.

Who You’ll Work With 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%.

#LI-SAFG  #LI-CW1 #LI-Hybrid

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.

Benefit Offerings Include:

• 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 matchin

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