Senior AI Tech Lead

• Experience with AWS Bedrock, Sage Maker, Lambda, Step Functions, ECS/EKS, API Gateway, S3, Cloud Watch, 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.

• Strong hands‑on capability in Python, Type Script/JavaScript, REST APIs, microservices, event‑driven patterns, and containerized deployments.
• Experience with AWS Bedrock, Sage Maker, Lambda, Step Functions, ECS/EKS, API Gateway, S3, Cloud Watch, 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.
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support:
  Maternal & Parental Leaves.
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
• Salary Range: $120,000 - $140,000 a year

BACHELOR OF COMPUTER SCIENCE