AI Engineer: Build Agentic ML & Automated Workflows

Corebridge Financial; Houston (TX); Hybrid; USD 122,000 - 148,000; Full time

Benefits offered by this job

Health and Wellness

401(k) with company match

Employee Assistance Program

Matching charitable donations

Volunteer Time Off

Paid Time Off

Job summary

Corebridge Financial seeks an experienced AI Engineer to design, build, and deploy scalable ML models and intelligent agents using foundation models. You will lead multi-agent workflows, fine-tune models, and ensure reliability, safety, and cost efficiency across enterprise systems.

The role requires 5+ years of AI/ML experience, strong Python skills, and familiarity with LangChain, RAG, and cloud services.

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)

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

Python programming

ML fundamentals

Prompt engineering

APIs integration

Education

Bachelor’s or Master’s in Computer Science / AI / Data Science

Tools

LangChain

Semantic Kernel

Amazon Sagemaker

Amazon Bedrock

Amazon Guardrails

Amazon AgentCore

Docker

Job description

Corebridge Financial seeks an experienced AI Engineer to design, build, and deploy scalable ML models and intelligent agents using foundation models. You will lead multi-agent workflows, fine-tune models, and ensure reliability, safety, and cost efficiency across enterprise systems.

The role requires 5+ years of AI/ML experience, strong Python skills, and familiarity with LangChain, RAG, and cloud services.