Senior AI Engineer

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Worksite flexibility:

CAI is a global services firm with over 9000 associates worldwide and a yearly revenue of $1.3 billion. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients colleagues and communities. As a privately held company we have the freedom and focus to do what is rightwhatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors and we are trailblazers in bringing neurodiversity to the enterprise.

Job Summary

Job Description

We are looking for a Senior AI Engineer who will lead the design development and deployment of enterprise AI solutions leveraging modern cloud technologies generative AI and software engineering best practices. You will work closely with AI engineers data scientists software developers cloud engineers cybersecurity specialists and business stakeholders to deliver scalable secure and production-ready AI applications. This position will be full-time and hybrid in Mandaluyong City.

The ideal candidate has extensive experience in Python development cloud-native architecture enterprise integrations and generative AI technologies. You should be a strong technical leader who enjoys mentoring engineers solving complex technical challenges and driving innovation while ensuring solutions align with enterprise architecture security and operational standards.

What Youll Do

• Lead the design development and implementation of enterprise AI solutions from concept through production deployment

• Translate business requirements into scalable technical designs implementation plans and engineering deliverables

• Design and develop secure maintainable and reusable Python and/ applications APIs background services and AI components

• Build and optimize generative AI applications using large language models retrieval-augmented generation (RAG) intelligent search and AI agents

• Design and implement secure integrations with enterprise applications APIs databases document repositories and cloud platforms

• Develop cloud-native AI solutions using AWS services including Amazon Bedrock AWS Lambda Amazon ECS/EKS Amazon API Gateway Amazon S3 Amazon RDS EventBridge SQS SNS Step Functions and related services

• Implement Infrastructure as Code (IaC) using Terraform and support CI/CD pipelines for automated testing deployment and security scanning

• Configure application observability using Datadog including logging metrics tracing dashboards alerts and performance monitoring

• Embed secure software development practices throughout the software development lifecycle and remediate security findings using tools such as Wiz and Snyk

• Collaborate with architects product managers cybersecurity teams and business stakeholders to ensure technical solutions meet enterprise standards

• Participate in architecture reviews sprint planning release management production deployments and operational readiness activities

• Mentor junior engineers through code reviews technical guidance and knowledge-sharing sessions

• Continuously improve AI solution performance reliability security scalability and operational efficiency

What Youll Need

Required:

• Bachelors or Masters degree in Computer Science Engineering Information Technology or a related field

• Significant experience developing enterprise applications using Python and/

• Proven experience designing and delivering production-grade AI machine learning or cloud-native applications

• Hands-on experience building generative AI retrieval-augmented generation (RAG) intelligent search or AI agent solutions

• Strong experience with AWS cloud services and cloud-native architecture

• Experience designing and developing REST APIs microservices and enterprise integrations

• Strong understanding of distributed systems software architecture application security and CI/CD practices

• Experience with Docker Amazon ECS Amazon EKS or other container platforms

• Experience implementing observability using Datadog or similar enterprise monitoring platforms

• Experience using security tools such as Wiz Snyk or comparable cloud and application security platforms

• Experience with automated testing source control dependency management and DevOps practices

• Strong analytical troubleshooting communication and technical documentation skills

• Demonstrated ability to lead technical initiatives and mentor engineering teams

Preferred:

• Experience delivering AI solutions within financial services government or other highly regulated industries

• Experience with Amazon Bedrock Azure OpenAI vector databases enterprise search platforms and AI evaluation frameworks

• Experience implementing responsible AI AI governance prompt engineering model security and AI guardrails

• Experience with Infrastructure as Code using Terraform

• Familiarity with MLOps LLMOps DevSecOps Site Reliability Engineering or Platform Engineering practices

• Experience with enterprise identity management OAuth 2.0 OpenID Connect and role-based access control

• Professional certifications in AWS Azure AI cybersecurity software engineering or cloud architecture

Physical Demands

• Ability to safely and successfully perform the essential job functions

• Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings

• Ability to conduct repetitive tasks on a computer utilizing a mouse keyboard and monitor

Reasonable accommodation statement

If you require a reasonable accommodation in completing this application interviewing completing any pre-employment testing or otherwise participating in the employment selection process please direct your inquiries to or (888).