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AI LLM Senior Engineer
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Software Engineering
In short
As a hands-on AI/LLM Engineer, you will design and build advanced AI systems for enterprises, focusing on machine learning, generative AI, and agentic systems. This role involves translating requirements into architecture decisions, designing AI agent architectures, and working with foundation models. You will also engineer the AI context layer to ground AI outputs and validate systems against enterprise non-functional requirements, producing engineering and architecture deliverables.
Responsibilities
- Independently design, build, and deliver software components across the AI architecture, owning them end to end.
- Design and build AI agent architectures, including individual agents, their prompts, tools, skills, multi-agent orchestration, and memory systems.
- Design and implement agent orchestration patterns for task handoffs, communication, state management, and error recovery.
- Evaluate design options and technical approaches, making justified design choices balancing capability, cost efficiency, performance, and reliability.
- Design, build, and run evaluation strategies to measure agent and system quality and translate findings into design improvements.
- Architect and implement foundation model integrations, selecting appropriate models and customization approaches.
- Design and build model adaptation and fine-tuning pipelines, applying knowledge of transformer-based architectures.
- Design and build the AI context layer, including context graph design and ingestion pipelines, and retrieval components.
- Build embedding, vector storage, and retrieval into end-to-end RAG pipelines.
- Design and implement context assembly and memory components for grounded, accurate outputs.
- Identify, design, and build reusable components and solution patterns.
- Design for cost efficiency and performance, optimizing model usage and resource utilization.
- Design, build, and validate systems against enterprise non-functional requirements, implementing security and Responsible AI measures.
- Build governance controls, including versioning, audit logging, and lineage tracking.
- Build observability into systems for health, performance, and scalability monitoring.
- Produce detailed architecture artifacts, including ADRs, blueprints, design documents, and diagrams.
- Continuously learn, evaluate, and apply new design patterns, frameworks, and technologies.
- Collaborate with cross-functional delivery teams to translate requirements into architecture decisions.
Requirements
- Minimum of 3 years of experience in designing & deploying AI / ML solutions using at least one cloud vendor as an AI/ML architect.
- Minimum of 1 year of experience in the Agentic, LLM and Generative AI space.
- Minimum of 1 year of experience architecting and operationalizing LLM driven application architecture patterns.
- Minimum of 3 years in coding and engineering, machine learning, deep learning and NLP solutions and applications.
- Minimum of 2 years of coding experience using python.
Desired Qualifications
- Bachelor's Degree or equivalent.
Benefits
- 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
- Accenture is proud to be in the top 3 of last year’s Diversity & Inclusion Index!
- 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 takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates.
- Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
- A work environment where all people feel like they can bring their authentic selves to work, every day.
- Unwavering commitment to inclusion and diversity.
- Progressive policies support flexibility in ‘where’, ‘when’ and ‘how’ people work.
- Opportunities to keep skills relevant through certifications, learning, and diverse work experiences.
#AI#LLM#Machine Learning#Generative AI#Agentic Systems#Architecture#Engineering#Cloud
Company
Accenture
Job Posted
1 month ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
Sydney, Australia
Brisbane, Australia
Canberra, Australia
Melbourne, Australia
Perth, Australia
Qualification
Bachelor
Applicants
Be an early applicant