Senior Principal Architect, AI

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $173k - $277k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Sphera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1989

☁️ SaaS

🏢 Enterprise

📋 Compliance

SaaS • Enterprise • Compliance

Sphera is a leading provider of enterprise sustainability management software, data, and consulting services. It offers solutions that enable organizations in sectors like Chemicals, Oil & Gas, Industrials, and Financial Services to manage their sustainability goals effectively. Sphera's offerings include the SpheraCloud platform, which focuses on Environment, Health, Safety & Sustainability (EHS&S) management, operational compliance, and risk management. The company's software and consulting services are designed to help organizations improve their safety, mitigate risks, reduce costs, and build resilience. By providing an integrated 360-degree view of sustainability and performance management, Sphera assists companies in meeting regulatory reporting requirements and achieving their sustainability objectives.

📋 Description

• Own and operate the AIDLC — Sphera's agentic software delivery framework that applies across all engineering, not just AI projects. • Serve as the senior technical practitioner within the AI COE — personally designing, building, and guiding AI solutions from concept through production across the portfolio. • Establish and enforce the defined delivery roles across squads — ensuring each role operates within its scope and that agentic execution is properly supervised and validated at every stage. • 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. • Create and apply AI solution evaluation frameworks — covering prompt quality, model accuracy, latency, cost, and production reliability — and monitor deployed features for drift and degradation. • Evaluate and benchmark emerging AI tools, models, and frameworks through structured experimentation, producing clear technical recommendations from hands-on testing. • Collaborate fluidly with engineering, product, InfoSec, Legal, and senior leadership, translating technical depth and business consequence depending on the audience.

🎯 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. • Fluent in Python; comfortable across the full AI stack including Azure AI Foundry, Azure Data Lake, APIM, and Databricks Mosaic AI. • 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. • Experience developing corporate AI governance frameworks — acceptable use policies, model approval processes, usage management, and audit readiness. • Working knowledge of GDPR, CCPA, and EU AI Act; experience partnering with Legal and InfoSec to operationalize AI compliance obligations. • Strong communicator — able to translate architectural and governance decisions clearly across engineering teams, product owners, and executive leadership.

🏖️ Benefits

• Medical, Dental, and Vision Insurance • Health Savings Account • Flexible Spending Account • 401(k) Retirement Plan with Company Match • Life and Disability Insurance • Critical Illness Insurance • Accident Insurance • Hospital Indemnity Insurance • Paid Time Off and Holidays • Flexible Working Schedule