Principal AI Architect- 14+years

Principal AI Architect- 14+years

Posted Today by VKore Solutions LLC

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Negotiable
Undetermined
Remote
Remote
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Amazon Web Services (AWS) Application Development Application Programming Interface (API) Artificial Intelligence BigQuery Causal Inference Cloud Computing Cloud Technology Continuous Integration and Continuous Delivery Cyber Security Data Science Deep Learning Docker (Software) Embedding FastAPI Forecasting Google Cloud Google Cloud Platform (GCP) Machine Learning Mobile Application Development Multi-Agent Systems Natural Language Processing Neo4j Python (Programming Language) Sarbanes-Oxley Act (SOX) Compliance SQL (Programming Language) Xgboost

Summary: The Principal AI Architect role requires over 14 years of hands-on experience in AI/ML engineering and data science, focusing on production system delivery and LLM application development. The position demands expertise in architecting multi-agent systems and real-time inference APIs, along with strong machine learning fundamentals. Candidates should have experience in regulated industries and be proficient in Python, SQL, and various cloud platforms.

Key Responsibilities:

  • Develop and deliver AI/ML systems with a focus on production environments.
  • Architect multi-agent systems and knowledge graph-powered retrieval solutions.
  • Implement real-time inference APIs and hybrid retrieval systems.
  • Ensure compliance with industry regulations such as SOX, GDPR, or SOC 2.
  • Utilize advanced machine learning techniques including XGBoost, deep learning, and NLP.
  • Collaborate with cross-functional teams to deliver AI solutions in regulated industries.

Key Skills:

  • 14+ years of experience in AI/ML engineering and data science.
  • Expertise in LLM application development and prompt engineering.
  • Strong knowledge of machine learning fundamentals and techniques.
  • Proficient in Python and SQL.
  • Experience with Google Cloud Platform, AWS, Docker, and FastAPI.
  • Familiarity with compliance standards in regulated industries.

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

14+ years of hands-on experience in AI/ML engineering and data science, with significant depth in production system delivery.

Deep, working expertise in LLM application development: LangChain, LangGraph, tool-calling agents, RAG, prompt engineering, embedding pipelines, and hybrid retrieval.

Proven track record architecting and shipping multi-agent systems, knowledge graph-powered retrieval (Neo4j or equivalent), and real-time inference APIs.

Strong ML fundamentals: XGBoost, deep learning, NLP, time-series forecasting, propensity modelling, experimental design, and causal inference.

Experience delivering AI systems in regulated industries (financial services, cybersecurity, healthcare) with SOX, GDPR, or SOC 2 compliance awareness.

Expert-level Python and SQL; fluency with Google Cloud Platform, AWS, Docker, FastAPI, BigQuery, FAISS, and CI/CD tooling.

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