Sphera
Senior Principal Architect, AI
US Remote · Principal
Sponsorship not specified$173k-$277kDetected 12 days ago
PythonCode ReviewDatabricksVector DatabasesAzurePlatform EngineeringMachine LearningData ScienceLLMsRAGAgentic AILangGraphAI OrchestrationA/B TestingCybersecurityComplianceLeadership
About the role
- Sphera is a portfolio company of Blackstone, a U.S.-based alternative asset investment company that focuses on private equity, technology and innovation, and more.
- Blackstone businesses succeed through strong partnerships, a personalized approach and a commitment to exceptional performance with uncompromising integrity.
- Sphera and Blackstone are leaders in the Environmental, Social and Governance (ESG) space.
Responsibilities
- Own and operate the AIDLC - Sphera's agentic software delivery framework that applies across all engineering, not just AI projects.
- In this model, AI agents are the primary execution mechanism: agents write code, generate tests, and validate outputs.
- Own the AIDLC as the standard delivery methodology across all software projects - governing how work moves from roadmap item through intent, specification and definition of ready, agentic code execution, multi-layer validation, and knowledge promotion back into the governance layer.
- Drive adoption of the AIDLC operating model across engineering teams - onboarding squads, enforcing framework discipline, and intervening where teams drift toward ad-hoc approaches or accumulate governance gaps.
- Serve as the senior technical practitioner within the AI COE - personally designing, building, and guiding AI solutions from concept through production across the portfolio.
- Design end-to-end AI solution architecture across the SpheraCloud Platform and product portfolio - including LLM integration patterns, agentic workflows, RAG pipelines, semantic search, and data services on Azure AI Foundry and Databricks Mosaic AI.
- Personally build proof-of-concept implementations - writing code, configuring AI pipelines, and validating model outputs across use cases including AI agents, data mapping, materials search, and predictive analytics.
- Embed directly within AI COE delivery squads, providing architecture guidance, code reviews, and hands-on support across active projects.
- Experience developing corporate AI governance frameworks - acceptable use policies, model approval processes, usage management, and audit readiness.
Requirements
- Bachelor's degree in computer science, Data Science, Engineering, or equivalent practical experience building production AI systems.
- 8+ years in software or platform engineering or solutions architecture, with a clear shift toward AI/ML implementation in recent roles.
- 3+ years of hands-on experience designing and delivering production AI solutions - LLM applications, RAG systems, agentic workflows, or multi-model orchestration pipelines.
- Deep practical knowledge of LLMs, prompt engineering, RAG, vector stores, and orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel.
- Experience owning an AI delivery lifecycle or methodology - including standards definition, team onboarding, and process governance across concurrent projects.
- Familiarity with agentic AI tooling including Claude Code and Claude Desktop with MCP servers, and structured artifact-driven delivery models.
Compensation
- $173,000.00 - $277,000.00 + Eligible for Variable Compensation Plan Commensurate with relevant qualifications and experience
Benefits
- Medical, Dental, and Vision Insurance
- Health Savings Account
- Flexible Spending Account
- 401(k) Retirement Plan with Company Match
- Life and Disability Insurance
- Paid Time Off and Holidays
- Flexible Working Schedule
Equal opportunity
- Equal Opportunity Employer.
- If you require a reasonable accommodation for a disability during the application or recruiting process, please email us at accommodations@sphera.com to make your request.
This listing is sourced directly from Sphera's careers page and normalized into a canonical job model.