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TIAA

Generative AI Technical Lead

TIAA

. Design, develop, and deploy production-grade AI solutions, including generative AI and agentic AI systems .

Posted 10/2/2026full-timeUnited StatesSenior💰 $184,000 - $304,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing, developing, and deploying AI solutions, including generative AI and agentic AI systems, while effectively bridging technical and non-technical stakeholders. Proficient in leveraging cloud AI platforms and ensuring the reliability and scalability of AI systems.

Highest-signal resume keywords
AI Solution DevelopmentAIOps PracticesCloud AI Platforms (AWS)Stakeholder CommunicationTeam Leadership and Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringGenerative AIAgentic AI SystemsModel IntegrationPrompt EngineeringOrchestration FrameworksProduction DeploymentData PreprocessingPredictive ModelingStatistics
Soft Skills
Excellent CommunicationStakeholder EngagementIterative Feedback Implementation
Tools & Technologies
Cloud AI PlatformsVector DatabasesLLM Orchestration ToolsRAG ArchitecturesEnterprise Tools
Certifications & Qualifications
University Degree
Industry Keywords
AI/ML EcosystemData ScienceInnovationMarket DynamicsCross-Functional Dependencies

Tech Stack

Tools & technologies
AWSCloud

About the role

Key responsibilities & impact
  • Design, develop, and deploy production-grade AI solutions, including generative AI and agentic AI systems
  • Partner with business stakeholders to translate pain points and requirements into technical solutions
  • Bridge non-technical partners and engineering teams
  • Rapidly prototype and iterate on AI proof-of-concepts
  • Gather stakeholder feedback and refine solutions before production
  • Architect and implement AI systems using cloud AI platforms, agentic frameworks, RAG architectures, vector databases, and LLM orchestration tools
  • Navigate legacy systems, data silos, security constraints, and cross-functional dependencies
  • Apply software engineering, AIOps, and production deployment practices
  • Ensure AI systems are reliable, scalable, and maintainable
  • Lead and mentor technical team members
  • Stay current on emerging AI/ML advancements and evolve organizational AI capabilities

Requirements

What you’ll need
  • University (Degree)
  • 5+ years of experience in Software Engineering
  • Understanding of AIOps and production deployment practices
  • 3+ years of experience in AI Technical Products
  • Experience designing and developing AI solutions, including generative AI and/or agentic AI systems
  • Experience delivering enterprise production AI solutions and integrating with enterprise tools
  • Strong AI engineering skills spanning model integration, prompt engineering, orchestration frameworks, evaluation, and productionizing AI systems
  • Experience building enterprise AI solutions and navigating legacy systems, data silos, security constraints, and cross-functional dependencies
  • Excellent stakeholder communication skills
  • Demonstrated ability to build quick POCs and iterate based on feedback
  • Grounding in the broader AI/ML ecosystem and knowledge of recent advancements
  • Experience with major cloud AI platforms such as AWS and AI/ML services
  • Familiarity with agentic frameworks, RAG architectures, vector databases, and LLM orchestration tools
  • Prior experience leading or mentoring technical teams
  • Knowledge of business acumen, data preprocessing, data science, innovation, machine learning, market/industry dynamics, predictive modeling, programming, and statistics

Benefits

Comp & perks
  • Superior retirement program
  • Competitive health, wellness, and work life offerings
  • Financial, emotional, and physical well-being support
  • Meaningful learning experiences and development pathways
  • Incentive program linked to performance, depending on the role
  • Drug-free and smoke-free workplace
  • Accessibility support and reasonable accommodation for applicants with disabilities