Det här jobbet har stängts och tar inte längre emot ansökningar.
AI LLM Architect
Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Mjukvaruutveckling
I korthet
Accenture is seeking a Senior AI/LLM Architect to design and deliver enterprise-grade AI platform architectures. This role involves translating business strategy into technical visions, driving technology selection, and architecting complex AI systems including multi-agent designs, data pipelines, and inference solutions. The position requires a Bachelor's degree and significant experience in AI/ML, LLMs, and Python development.
Ansvarsområden
- Design and deliver end-to-end AI platform architectures powering the modern enterprise.
- Own the technical design of advanced AI systems spanning classical ML, generative AI, and agentic systems.
- Take deep ownership of critical architecture domains like agentic application design, AI security, AI operations, data engineering, or model platforms.
- Translate business strategy into a technical vision by defining non-functional requirements (NFRs) for performance, reliability, and cost.
- Lead stakeholder workshops to align on technical feasibility, define project scope, and manage expectations.
- Drive the technology selection process, evaluating build-vs-buy decisions for AI platforms and foundational models.
- Architect model- and tool-agnostic multi-agent systems governed by an MCP Control Plane.
- Design and implement the Agent Registry and AI Gateway for runtime policy enforcement.
- Design and implement a certification gate to ensure only certified agents enter production.
- Design, implement, and abstract core agent services, including a first-class abstracted memory service.
- Architect the end-to-end data pipeline for AI systems, including data ingestion, preprocessing, and synchronization for fine-tuning and RAG.
- Design and implement the context layer spanning knowledge graphs, vector search, and semantic retrieval for reliable, grounded RAG pipelines.
- Architect foundation model adaptation strategies, including dynamic, cost-and-performance-aware model routing and selection.
- Design, implement, and prototype high-throughput, low-latency inferencing solutions.
- Define security, governance, and observability as centrally-enforced, by-design controls for all AI systems.
- Architect a robust, defense-in-depth security framework, including per-agent identity and layered guardrails.
- Design and implement FinOps controls enforced at the AI Gateway, including token budgets, cost-center labeling, and threshold alerts.
- Establish the framework for comprehensive system evaluation, adopting productized tools and instrumenting observability with OTel.
- Define and maintain the enterprise-wide AI reference architecture, reusable design patterns, and a library of approved software components.
- Independently design, implement, build, and deliver proof-of-concept prototypes and foundational software components.
- Produce and own authoritative architecture artifacts, including blueprints, sequence diagrams, design specifications, and Architectural Decision Records (ADRs).
- Mentor and guide cross-functional engineering teams (data, ML, application) on architectural best practices and design patterns.
- Continuously research and integrate emerging AI patterns, frameworks, and technologies.
Krav
- Minimum of 2 years of experience in designing & deploying enterprise grade advanced ai solutions using agentic, generative and classical AI/ML using at least one cloud vendor.
- Minimum of 2 years of experience in the Agentic, LLM and Generative AI space.
- Minimum of 4 years of coding experience using python.
- Minimum of 2 years of experience architecting and operationalizing LLM driven application architecture patterns.
- Minimum of 4 years in coding engineering, machine learning, deep learning and NLP solutions and applications.
- Minimum of 4 years of experience as a machine learning architect in the industry designing big data, machine learning, large scale analytical engineering solutions.
- Bachelor's Degree or equivalent.
Önskade kvalifikationer
- Experience with AI platform architectures.
- Experience with classical machine learning.
- Experience with generative AI.
- Experience with agentic systems.
- Experience with enterprise-grade standards.
- Experience with AI security and trust.
- Experience with AI operations and observability.
- Experience with data and knowledge engineering.
- Experience with model platforms and inference serving.
- Experience with Arize, LangSmith (evaluation of platforms).
- Experience with MCP Control Plane.
- Experience with Agent Registry.
- Experience with AI Gateway.
- Experience with certification gates for agents.
- Experience with abstracted memory service with semantic, episodic, and procedural endpoints.
- Experience with AI system data pipelines (ingestion, preprocessing, synchronization for fine-tuning and RAG).
- Experience with context layer (knowledge graphs, vector search, semantic retrieval).
- Experience with foundation model adaptation strategies (dynamic, cost-and-performance-aware model routing and selection).
- Experience with high-throughput, low-latency inferencing solutions (response caching, request batching).
- Experience with defense-in-depth security frameworks.
- Experience with per-agent identity with IAM/IAP binding.
- Experience with layered guardrails.
- Experience with FinOps controls (token budgets, cost-center labeling, threshold alerts).
- Experience with system evaluation frameworks.
- Experience with OTel instrumentation.
- Experience producing architecture artifacts (blueprints, sequence diagrams, design specifications, ADRs).
Förmåner
- 18 weeks paid parental leave
- Long & short-term career break opportunities
- Structured career development program
- Local and international career opportunities.
- Certified as a Family Inclusive Workplace™
- Flexible Work Arrangements
- Opportunity to work with cutting-edge AI and LLM technologies.
- Comprehensive training covering business acumen, technical and professional skills development.
- Opportunities to hone functional skills and expertise in an area of specialization.
- Variety of formal and informal training programs at every level.
- Learning opportunities on the job and through formal training (online, classroom, collaborative).
- Work at the heart of change.
- Recognized as one of the World’s Best Workplaces™.
#AI#LLM#Architecture#Machine Learning#Generative AI#Python#Cloud
Företag
Accenture
Publicerade jobb
för 1 månad sedan
Anställningstyp
Heltid
Arbetsform
På plats
Erfarenhetsnivå
Senior
Platser
Sydney, Australia
Brisbane, Australia
Canberra, Australia
Melbourne, Australia
Perth, Australia
Kvalifikation
Kandidatexamen
Sökande
Ansök tidigt