AI Platform Lead Engineer

Momento USA is a global technology consulting talent acquisition and creative development firm that addresses clients most pressing needs and challenges. We are currently looking for an AI Platform Lead Engineer.

Position: AI Platform Lead Engineer

Location: Remote

We are seeking a seasoned AI Platform Engineer Lead with over 14 years of experience in designing building and scaling enterprise-grade AI/ML platforms. The ideal candidate will be responsible for leading technical strategy architecting robust AI infrastructure and mentoring engineering teams to deliver cutting-edge AI solutions that drive business transformation.

Technology Stack/ Key Skill sets :

Strong hands-on experience with AWS infrastructure (VPC IAM KMS Private Link Transit Gateway S3 Lambda ECS/EKS)
Hands-on with Snowflake administration - RBAC network policies masking row access policies warehouses and resource monitors
Proficiency with IaC (Terraform/CloudFormation) CI/CD (CodePipeline GitHub Actions) and configuration management
Deep understanding of security networking encryption and identity federation

Domain Expertise:
Proven experience delivering AI/GenAI use cases for financial services

Key Role Expectations:
Implement the AWS and per the approved architecture and security design
Build and maintain landing zones accounts networking IAM and Snowflake account/role structures
Operate as the on-the-ground infrastructure lead coordinating closely with customer security and cloud teams
Enable AI Engineers with reusable platform components (Bedrock setup Cortex enablement secure data zones)
Drive infrastructure code reviews environment promotions and platform governance

• Platform Architecture & Development
  • Design and implement scalable AI/ML platforms supporting model training deployment monitoring and lifecycle management.
  • Drive adoption of cloud-native and hybrid architectures for AI workloads.
  • Ensure platform reliability performance and security at scale.
• Leadership & Strategy
  • Lead cross-functional engineering teams providing technical guidance and mentorship.
  • Collaborate with product data science and business stakeholders to align AI platform capabilities with organizational goals.
  • Define long-term AI infrastructure strategy and roadmap.
• Operational Excellence
  • Establish best practices for MLOps CI/CD pipelines and automated workflows.
  • Implement monitoring observability and governance frameworks for AI models.
  • Optimize cost efficiency and resource utilization across cloud and on-prem environments.
• Innovation & Research
  • Stay ahead of emerging AI/ML technologies frameworks and tools.
  • Evaluate and integrate new solutions to enhance platform capabilities.
  • Champion innovation by fostering a culture of experimentation and continuous improvement.

Required Qualifications

• 14 years of experience in software engineering with at least 5 years focused on AI/ML platforms.
• Proven expertise in cloud platforms (Azure AWS GCP) and container orchestration (Kubernetes Docker).
• Strong knowledge of MLOps frameworks (Kubeflow MLflow SageMaker Vertex AI).
• Hands-on experience with distributed systems data pipelines and model deployment at scale.
• Proficiency in programming languages such as Python Java or Go.
• Deep understanding of AI/ML lifecycle management including monitoring retraining and governance.
• Excellent leadership communication and stakeholder management skills.

Preferred Qualifications

• Experience in building Enterprise AI platforms for large-scale organizations.
• Familiarity with data engineering tools (Spark Kafka Databricks).
• Exposure to generative AI and LLM deployment frameworks.
• Track record of leading global teams and delivering complex AI initiatives.

Thanks

Samuel Brown

Momento USA Exceeding Customer Expectations

440 Benigno Blvd Unit#A 2nd Floor. Bellmawr NJ 08031

Interstate Business Park

Tel : Direct: / Extn 1020

Email: Web:

Note: Momento USA is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex pregnancy sexual orientation gender identity national origin age protected veteran status or disability status.