Empower logo
Empower

We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.

Generative AI Architect

IT SupportIT SupportFull TimeRemoteLeadTeam 10,001+H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

5 days ago

Salary

$151.8K - $220.1K / year

Seniority

Lead

Bachelor Degree10 yrs expEnglishAWSCloud

Job Description

Generative AI Architect

Empower

• Define the architectural strategy for Generative AI, LLM, and AI platform capabilities across the enterprise • Shape how enterprise data, knowledge, and metadata are structured and accessed for AI-driven use cases • Establish patterns for how data flows across ingestion, transformation, indexing, embeddings, and retrieval • Guide how AI systems handle ambiguity, variability, and non-deterministic behavior • Influence how models, data sources, APIs, and workflows are orchestrated into scalable systems • Establish how AI systems are evaluated, observed, and operated in production, including output quality, system behavior, and reliability

Job Requirements

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field
  • 10+ years of experience in data architecture, AI/ML systems, or distributed platform design
  • Experience setting architectural direction and influencing system design across teams
  • Strong background in data modeling, data pipelines, and large-scale data systems
  • Understanding of retrieval, search, and indexing systems, along with Generative AI architectures including LLMs, embeddings, RAG, tool-calling agents, API integration, human-in-the-loop approvals, agent identity, multi-agent patterns, MCP and A2A-style integrations, and controlled autonomy
  • Experience with modern data and cloud platforms, especially AWS and Snowflake, including Bedrock, vector databases, hybrid search, APIs, event-driven architecture, IAM, observability, CI/CD, infrastructure as code, and model selection across LLMs, SLMs, and multimodal models
  • Ability to design systems that balance scalability, performance, cost, and operational complexity

Benefits

  • Medical, dental, vision and life insurance
  • Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
  • Tuition reimbursement up to $5,250/year
  • Business-casual environment that includes the option to wear jeans
  • Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
  • Paid volunteer time — 16 hours per calendar year
  • Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
  • Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.

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