Lead AI Engineer

Lead Software Engineer

Ready to help build the platform that powers enterprise AI?

Our client, a leading organization in a highly regulated industry, is seeking a Lead Software Engineer to join a growing AI Platform team responsible for creating the foundational services, tools, and engineering standards that enable secure, scalable AI adoption across the enterprise.

This is a hands-on technical leadership role where you'll design and build the platform capabilities that support AI-powered applications, intelligent agents, and next-generation automation. You'll collaborate with architects, product leaders, and engineering teams to create reusable services that make AI development faster, safer, and more consistent.

As a Lead Software Engineer, you'll help define the technical direction of a modern AI platform while remaining actively involved in engineering and solution design.

Responsibilities include:

• Design, develop, and maintain enterprise AI platform services and cloud-native applications.
• Build reusable APIs, SDKs, templates, and shared platform capabilities that accelerate AI development across multiple teams.
• Develop scalable backend services using modern cloud and event-driven architectures.
• Design secure, observable, and highly available platform solutions.
• Partner with engineering, architecture, product, and governance teams to establish AI engineering standards and best practices.
• Help build capabilities around model access, knowledge retrieval, prompt management, workflow orchestration, and AI service integration.
• Participate in architecture reviews, proof of concepts, and technical innovation initiatives.
• Mentor engineers through code reviews, technical guidance, and engineering best practices.
• Drive improvements in automation, CI/CD, testing, monitoring, and platform reliability.

• AWS cloud services including Lambda, CDK, API Gateway, Step Functions, Event Bridge, S3, DynamoDB, SNS, SQS, ECS/EC2, Cloud Watch, Bedrock, Aurora/PostgreSQL, MongoDB, Glue, and AWS Batch.
• Infrastructure as Code using AWS CDK or similar frameworks.
• Backend application development using RESTful APIs, microservices, and event-driven architectures.
• AI platform development, Retrieval-Augmented Generation (RAG), agentic workflows, knowledge retrieval, prompt management, or related AI engineering concepts.
• Enterprise security, authentication, authorization, audit logging, and compliance in regulated environments.
• CI/CD pipelines using Git Hub Actions or similar automation tools.
• Observability, telemetry, performance monitoring, and operational excellence.
• Real-time messaging or event streaming architectures.

• Bachelor's degree in Computer Science, MIS, or a related field, or equivalent professional experience.
• 5+ years of software engineering experience (or equivalent experience).
• Strong background in cloud-native application development.
• Experience building reusable platform services rather than one-off applications.
• Excellent analytical, problem-solving, and communication skills.
• Ability to mentor engineers and provide technical leadership.
• Experience working within Agile software development teams.
• Passion for continuous learning and emerging technologies, particularly AI.

• AWS Certifications (Cloud Practitioner, Solutions Architect, Developer, etc.)
• Experience building AI infrastructure or internal developer platforms.
• Background in healthcare, financial services, insurance, or another regulated industry.
• Experience participating in innovation initiatives, hackathons, or proof-of-concept projects.

If you're passionate about cloud engineering, AI infrastructure, and building scalable platforms that empower other developers, we'd love to connect.