DCI Job Requirement for:
AI Platform Customer Service Manager
Locations: McLean, VA
Job Description
Serves as an AI Platform Customer Service Manager and ML Engineer
Support customers leveraging next-gen infrastructure to drive innovation in AI field
Ensure customers achieve desired outcomes with our AI-powered solutions, by:
- Providing strategic guidance
- Technical support
- Relationship management
Identify and address potential customer pain points
Help customers maximize AI product value and achieve measurable success
Work closely with stakeholders from engineering, sales, and program management
Develop long-term relationships with customers
Use information to develop targeted strategies for customer success
Manage changes effectively and communicate with customers about updates
Optimize resource utilization, and implement best practices for cluster tuning.
Provide hands-on support with the following:
- Containerization & Orchestration
- Networking
- Security
- Performance and Optimization management
- CI/CD tooling
- Pipeline Design & Implementation
- Infrastructure as Code (IaC)
Qualifications:
BS in Computer Science / Engineering (or related career field)
Basic understanding of AI and machine learning concepts, such as:
- Data preprocessing
- Model training
- Deployment.
Experience performing on-site installations, maintenance, and troubleshooting
Experience explaining complex technical terms in a non-technical manner
Data analysis skills and experience, including:
- Ability to interpret data metrics
- Track customer engagement
- Identify trends in usage patterns
Experience gathering insights from customers about needs, pain points, and goals
Experience developing targeted strategies for customer success
Have current IAM Level II certification
*Ability to travel up to 20% of the time, as required, to Clearance Requirements*
Clearance: Active TS/SCI with CI Polygraph
Job Type: Full-time
Salary: $140,000-$180,000
Pay: $140,000.00 - $180,000.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Employee assistance program
- Flexible schedule
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Parental leave
- Professional development assistance
- Relocation assistance
- Retirement plan
- Tuition reimbursement
- Vision insurance
Experience:
- designing and deploying Kubernetes clusters: 8 years (Preferred)
- Kubernetes networking concepts: 5 years (Preferred)
- CI/CD : 5 years (Preferred)
- Terraform, Pulumi, and/or CloudFormation : 5 years (Preferred)
- Python, Go, and/or Bash: 5 years (Preferred)
License/Certification:
- CI Polygraph Security Clearance (Preferred)
Security clearance:
Work Location: In person
