Lead AI Engineer
Professional Project Partners Inc
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.
What You'll Do
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.
Preferred Technical Experience
- AWS cloud services including Lambda, CDK, API Gateway, Step Functions, EventBridge, S3, DynamoDB, SNS, SQS, ECS/EC2, CloudWatch, 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 GitHub Actions or similar automation tools.
- Observability, telemetry, performance monitoring, and operational excellence.
- Real-time messaging or event streaming architectures.
What We're Looking For
- 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.
Bonus Qualifications
- 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.
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