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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and deploying agentic AI solutions, ensuring alignment with enterprise standards and measurable outcomes. Proven ability to lead cross-functional collaboration and drive production deployments that enhance client satisfaction and business impact.
Highest-signal resume keywords
Agentic AI ExpertiseAI/ML ArchitectureProduction DeploymentSystems ThinkingStakeholder Collaboration
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 System DesignRAG SystemsTool IntegrationWorkflow ArchitectureEvaluation StandardsPrototype DevelopmentData Access ManagementOutcome MeasurementEnterprise DeploymentLifecycle Value Realization
Soft Skills
Executive PresenceCollaborationAccountabilityCommunicationClient Engagement
Tools & Technologies
AltaForgeAltaML
Industry Keywords
Enterprise AIRegulated EnvironmentsBusiness ImpactValue CreationClient Satisfaction
About the role
Key responsibilities & impact- Lead discovery with senior stakeholders to identify high-impact agentic use cases
- Translate complex business problems into production-ready AI system designs
- Architect secure, auditable agentic workflows involving reasoning, tool use, data access, and evaluation
- Drive solutions from prototype to production deployment on AltaForge, AltaML’s internal agentic platform
- Ensure solutions align with AltaForge architecture for reusability and scale
- Define and enforce evaluation standards to measure outcomes and value creation
- Support account growth through successful delivery and lifecycle value realization
- Move clients from idea through prototype and production to measurable value
- Design, deploy, and scale agentic AI solutions in production environments
- Partner with industry vertical leaders, engineering teams, and executive stakeholders
- Achieve 6–8 production deployments per year, strong time-to-value, client satisfaction, measurable business impact, high-quality evaluation datasets, and contribution to recurring and licensing revenue growth
Requirements
What you’ll need- 8+ years in AI/ML, architecture, or technical strategy roles
- Deep experience with agentic AI, RAG systems, orchestration, and tool integration
- Experience supporting the deployment of AI systems into enterprise or regulated environments
- Strong systems thinking and architectural judgment
- Executive presence and ability to operate across technical and commercial domains
- Bias toward production, accountability, and measurable outcomes
- Passion for AI/ML
- Ability to collaborate across the company and with clients, engineering teams, industry vertical leaders, and executive stakeholders
Benefits
Comp & perks- Uncapped vacation for full-time, permanent employees
- Competitive benefits for full-time, permanent employees
- Hybrid work environment with state-of-the-art office spaces
- Flexibility in where you work, what hours you work, how much vacation you take, and what you wear
- Work/life balance
- Opportunities to work with PhD and Master Level colleagues
- Collaborative company culture
- Group social on Fridays