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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in designing and deploying AI/ML architectures, with a strong focus on cloud infrastructure and DevOps practices. Proven ability to mentor engineering teams and establish technical standards for operational excellence.
Highest-signal resume keywords
AI/ML Architecture DesignAWS Services ExpertiseDevOps Practices and CI/CDAPI Development and ManagementLeadership in Agile Teams
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Partner with and guide the Enterprise Architect on platform-capability roadmap solutions
- Define and communicate the technical vision and strategy for AI/ML initiatives
- Establish technical excellence, innovation, and squad standards
- Mentor and develop the engineering squad
- Design, deploy, and manage API infrastructure on AWS
- Create and maintain technical design artifacts covering functionality, solution designs, data models, interfaces, and integrations
- Enhance DevOps practices and tools to enforce software guardrails and automation
- Collaborate across teams to integrate AI/ML solutions with broader platform initiatives
- Own and evolve deployment strategy and CI/CD practices
- Manage model component versioning across development and production environments
- Support infrastructure automation and infrastructure-as-code practices
- Evaluate and recommend emerging technologies and industry practices
- Provide post-production support, troubleshooting, performance optimization, and continuous improvement
Requirements
What you’ll need- Bachelor’s degree in computer science or a relevant field
- At least 10 years of engineering experience
- Extensive experience designing and deploying AI/ML architectures with GenAI models, agentic systems, RAG techniques, and production-scale patterns
- Exceptional communication and presentation skills, with ability to influence technical and executive stakeholders
- Thought leadership in AI/ML
- Deep architectural expertise across Python, Java, and AWS services
- Advanced expertise in AI/ML architecture patterns, model lifecycle management, and production-scale deployment strategies
- Strong expertise in AWS services and cloud infrastructure
- Advanced proficiency with DevOps practices, deployment automation, CI/CD pipelines, containerization, and orchestration technologies at scale
- Ability to establish technical standards for AI/ML infrastructure, security, and operational excellence
- Proficiency in API development and management
- Leadership skills to guide agile teams across multiple locations
- Problem-solving and analytical skills
- Success coaching and mentoring junior engineers in an Agile team setting
Benefits
Comp & perks- Wellness programs supporting mental, physical, and financial health
- Variety of career paths and networking opportunities
- Hybrid work flexibility between home and office
- Incentive plans for eligible employees, subject to individual and company performance
- Accommodation support for persons with disabilities
- Virtual and office work options based on business, Client, and employee needs
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML ArchitecturePython ProgrammingJava ProgrammingAWS InfrastructureDeployment AutomationCI/CD PipelinesContainerizationOrchestration TechnologiesModel Lifecycle ManagementAPI Management
Soft Skills
Exceptional CommunicationPresentation SkillsInfluencing StakeholdersProblem-SolvingAnalytical Skills
Tools & Technologies
DevOps ToolsInfrastructure AutomationInfrastructure-as-CodeAgile MethodologiesEmerging Technologies
Certifications & Qualifications
Bachelor’s Degree in Computer Science
Industry Keywords
Technical VisionTechnical StandardsTechnical ExcellenceInnovationSquad Standards