AI Engineer

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 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.

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.

• 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

• 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., Lang Chain, 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 Agent Core 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…