Senior AI Tech Lead

• Must Have Technical/Functional Skills
• § Strong hands-on capability in Python, TypeScript/JavaScript, REST APIs, microservices, event-driven patterns, and containerized deployments.
• § Experience with AWS Bedrock, SageMaker, Lambda, Step Functions, ECS/EKS, API Gateway, S3, CloudWatch, and CI/CD tooling.
• § Deep understanding of prompt engineering, agent orchestration, tool integration, vector stores, embeddings, model evaluation, and AI guardrails.
• § Ability to enforce engineering standards, code quality, secure coding, performance tuning and observability practices.
• § Strong leadership, mentoring, estimation, planning, and stakeholder communication skills.
• § Familiarity with compliance, audit logging, model risk controls, and responsible AI practices.
• § Lead technical delivery of AI agent capabilities, reusable platform components, integrations and automation workflows.
• § Translate solution architecture into detailed engineering designs, sprint plans, and implementation tasks.
• § Guide developers on AI patterns, cloud-native implementation, secure coding, testability & performance optimization.
• § Build and review core components such as agent orchestration services, API layers, RAG services, tool connectors, and model interaction modules.
• § Coordinate with architects, product owners, UX designers, security SMEs, and QA to drive end-to-end delivery.
• § Establish technical best practices, coding standards, review processes, and reusable accelerators.
• § Support environment readiness, deployment planning, defect triage, production readiness reviews & knowledge transition.
• Discretionary Annual Incentive.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.

None flagged.