AI Platform Engineer

Corebridge Financial; Houston (TX); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Health and Wellness benefits

401(k) Matching

Volunteer Time Off

Paid Time Off

Job summary

Corebridge Financial in Houston seeks an AI Platform Engineer to design, build, and operate enterprise AI/ML platform capabilities on AWS. You’ll work across cloud, data, AI engineering, and governance to enable secure, scalable AI workloads.

This role welcomes early-career professionals and graduates with strong AWS and AI project experience. Hybrid work, competitive benefits, and collaboration with cross-functional teams are offered.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Information Systems, or related technical field.
• 2+ years of relevant experience in cloud engineering, software engineering, data engineering, MLOps, AI/ML engineering, or platform engineering (preferred).
• Hands-on exposure to AI/ML concepts and tools: model training, inference, generative AI, embeddings, vector search, prompt engineering, or MLOps.
• Foundational experience with AWS technologies including IAM, networking, compute, storage, security, and monitoring.
• Exposure to infrastructure-as-code and CI/CD tools (Terraform, AWS CDK, CloudFormation, GitHub Actions).

Responsibilities

• Build and enhance platform services, patterns, and automation for AI/ML model development, deployment, and lifecycle on AWS.
• Develop and support cloud-native solutions for compute, storage, networking, security, observability, data processing, and AI/ML (Bedrock, SageMaker).
• Support generative AI applications, AI agents, APIs, model endpoints, prompts, and retrieval-augmented generation.
• Create IaC, CI/CD pipelines, deployment templates, and self-service capabilities to boost productivity.
• Connect AI/ML workloads to enterprise data platforms, APIs, event streams, and data pipelines with proper access controls.
• Implement platform controls for IAM, secrets, encryption, logging, monitoring, and model governance.
• Provide reliability, monitoring, and operational support for AI/ML services and production workloads.
• Collaborate with data scientists, engineers, security teams, and stakeholders to translate use-cases into scalable solutions.
• Evaluate emerging AI/ML and AWS tech via prototypes and contribute to standards.

Skills

Python/Java programming

AI/ML concepts

AWS/cloud

Infrastructure as code

CI/CD tooling

problem solving communication

Education

Bachelor's or Master's in CS/Data Science/Engineering

Internships/projects in AWS/AI/ML

Tools

AWS Bedrock

Amazon SageMaker

Terraform / AWS CDK / CloudFormation

GitHub Actions

Vector databases / embeddings

Job description

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 an AI Platform Engineer to help design, build, and operate the enterprise AI/ML platform capabilities that enable secure, scalable, and reliable AI and machine learning solutions. This role will work across cloud infrastructure, data, AI engineering, and governance to support generative AI, machine learning, and agentic AI workloads on AWS. The position is open to early-career professionals with two to three years of relevant experience as well as new graduates with strong academic foundations and relevant internship or project experience.

Responsibilities

• AI/ML Platform Engineering: Build and enhance reusable platform services, development patterns, and automation that support AI/ML model development, deployment, inference, and lifecycle management on AWS.
• AWS Engineering: Develop and support cloud-native solutions using relevant AWS services for compute, storage, networking, security, observability, data processing, and AI/ML, including Amazon Bedrock and Amazon SageMaker where applicable.
• Generative and Agentic AI Enablement: Support the development and integration of generative AI applications, AI agents, APIs, model endpoints, prompt workflows, and retrieval-augmented generation solutions.
• Platform Automation: Create infrastructure-as-code, CI/CD pipelines, deployment templates, configuration standards, and self-service capabilities that improve engineering productivity and consistency.
• Data and Integration: Help connect AI/ML workloads to enterprise data platforms, APIs, event streams, and data pipelines while applying appropriate access controls and data-handling standards.
• Security and Governance: Implement platform controls for identity and access management, secrets protection, encryption, logging, monitoring, auditability, model governance, and responsible AI practices.
• Reliability and Operations: Build monitoring, alerting, troubleshooting, cost-management, and operational support capabilities for AI/ML services and production workloads.
• Collaboration: Partner with data scientists, software engineers, data engineers, architects, security teams, and business stakeholders to translate use-case needs into scalable platform solutions.
• Continuous Learning: Evaluate emerging AI/ML and AWS technologies through prototypes and proofs of concept, document findings, and contribute to platform standards and reusable engineering guidance.

Skills and Qualifications

• Bachelor's or master's degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical field. entry level candidates are encouraged to apply.
• For experienced candidates, 2+ years of relevant experience in cloud engineering, software engineering, data engineering, MLOps, AI/ML engineering, or platform engineering is preferred.
• For new graduates, relevant internships, co-op assignments, research, capstone projects, or substantial hands-on coursework in AWS, AI/ML, data science, or software engineering will be considered.
• Foundational experience with AWS technologies and cloud concepts, including identity and access management, networking, compute, storage, security, and monitoring.
• Hands-on exposure to AI/ML concepts and tools, such as model training or inference, generative AI, large language models, embeddings, vector search, prompt engineering, or MLOps.
• Programming ability in Python, Java, or a similar language, along with working knowledge of SQL, APIs, version control, and automated testing.
• Exposure to infrastructure-as-code and CI/CD tools, such as AWS CloudFormation, Terraform, AWS CDK, GitHub Actions, or comparable technologies, is beneficial.
• Understanding of secure engineering practices, data privacy, responsible AI, logging, monitoring, and operational reliability.
• Strong problem-solving, communication, and collaboration skills, with a willingness to learn and work across multidisciplinary teams.

Preferred Qualifications

• AWS certification, AI/ML coursework, cloud labs, hackathons, open-source contributions, or a portfolio demonstrating practical engineering work.
• Exposure to Amazon Bedrock, Amazon SageMaker, container technologies, serverless services, vector databases, orchestration frameworks, or observability tools.
• Experience in financial services or another regulated industry is helpful but not required.

Compensation:

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 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.

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 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 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 Reasonable 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.

To learn more please visit: ;br>

Functional Area:

IT - Information Technology

Estimated Travel Percentage (%): No Travel

Relocation Provided: No