Senior AI/LLM Architect — Enterprise Platform Lead

Accenture

Calgary

On-site

CAD 109,000 - 220,000

Full time

3 days ago
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Job summary

Accenture is seeking an experienced AI/LLM Architect to design end-to-end AI platform architectures spanning generative and classical ML, with a strong focus on governance, security, and scalability.

You will own architectural decisions, mentor cross-functional teams, and deliver ADRs, blueprints, and runtime policies while aligning with client business goals and enterprise standards.

Qualifications

  • Minimum 5+ years designing & deploying enterprise-grade AI solutions, including agentic, generative and classical AI/ML across at least one cloud vendor.
  • Minimum 2+ years in Agentic, LLM and Generative AI space.
  • Minimum 4+ years coding in Python.
  • Minimum 2+ years architecting and operationalizing LLM-driven architectures.
  • Minimum 4+ years in ML/DL/NLP solutions in industry.
  • Bachelor's Degree or equivalent.

Responsibilities

  • Translate business strategy into a technical vision and define non-functional requirements for performance, reliability, and cost.
  • Lead stakeholder workshops to align on feasibility and scope with clients and leadership.
  • Evaluate AI platform tech choices and implement multi-agent system architectures.
  • Design and implement memory services, data pipelines, and a grounded RAG context layer.
  • Define security, governance and observability as central controls across AI systems.
  • Produce architecture artifacts (ADRs, blueprints, diagrams) and mentor cross-functional teams.

Skills

Python
AI/ML design
Cloud architectures

Education

Bachelor's Degree or equivalent

Tools

Arize
LangSmith

Job description

Accenture is seeking an experienced AI/LLM Architect to design end-to-end AI platform architectures spanning generative and classical ML, with a strong focus on governance, security, and scalability.

You will own architectural decisions, mentor cross-functional teams, and deliver ADRs, blueprints, and runtime policies while aligning with client business goals and enterprise standards.

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