Senior Ai Engineer: Enterprise Llm & Production Delivery

Accenture; Melbourne; Vor Ort; AUD 180.000 - 280.000; Vollzeit

Benefits dieser Stelle

18 weeks parental leave

Career break opportunities

Structured career development program

Local and international career options

Family Inclusive Workplace

Flexible work arrangements

Zusammenfassung

Accenture PLC is seeking a Senior Forward Deployed Engineer to lead AI engagements with enterprise clients, driving end-to-end delivery and architectural decisions. You will work with Claude, GPT, Gemini, and other tools to build production-grade AI systems that scale securely and reliably.

The role combines deep technical work with strategic client leadership and mentoring of engineers. You will manage complex deployments, set technical direction, and ensure governance, security, and

Qualifikationen

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 10+ years of software engineering, solutions architecture, or technical consulting.
• 3+ years delivering AI/ML or LLM-based solutions in production.
• Proven track record leading complex, customer-facing technical engagements.

Aufgaben

• Own the technical relationship with enterprise clients from discovery to production and influence long-term roadmaps.
• Architect and ship enterprise-grade AI systems using Claude, GPT, Gemini, etc., choosing the best tool for the problem.
• Design pipelines and agentic workflows meeting security, scalability, cost and reliability requirements.
• Mentor engineers and set technical direction, leading incident resolution and complex troubleshooting.

Kenntnisse

LLM platforms

Programming & engineering

Cloud platforms

Data platforms

System design

Mentoring

Ausbildung

Bachelor’s or Master’s in CS/Engineering

Tools

Claude

GPT

Gemini

Jobbeschreibung

About Accenture

Accenture is a leading solutions and services company that helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed across the enterprise, bringing together the talent of our approximately 786,000 people, our proprietary assets and platforms, and deep ecosystem relationships. Our strategy is to be the reinvention partner of choice for our clients and to be the most client-focused, AI-enabled, great place to work in the world. Through our Reinvention Services we bring together our capabilities across strategy, consulting, technology, operations, Song and Industry X with our deep industry expertise to create and deliver solutions and services for our clients. Our purpose is to deliver on the promise of technology and human ingenuity, and we measure our success by the 360° value we create for all our stakeholders. Visit us at www.accenture.com.

About Accenture

Accenture is a leading solutions and services company that helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed across the enterprise, bringing together the talent of our approximately 786,000 people, our proprietary assets and platforms, and deep ecosystem relationships. Our strategy is to be the reinvention partner of choice for our clients and to be the most client-focused, AI-enabled, great place to work in the world. Through our Reinvention Services we bring together our capabilities across strategy, consulting, technology, operations, Song and Industry X with our deep industry expertise to create and deliver solutions and services for our clients. Our purpose is to deliver on the promise of technology and human ingenuity, and we measure our success by the 360° value we create for all our stakeholders. Visit us at www.accenture.com.

What You’ll Do

The most interesting engineering problems right now aren't just inside big tech companies, they're inside enterprises trying to figure out how AI actually fits into the way they work.

As a Senior Forward Deployed Engineer, you'll work directly with enterprise clients to change how their organisations operate by designing and shipping AI systems that deliver real outcomes. You'll own delivery end-to-end, from the first whiteboard session with a CTO to a production system handling real load.

You'll work across the best available tooling (Claude, GPT, Gemini etc.) choosing what's right for the problem rather than defaulting to one stack. You'll design pipelines and agentic workflows that have to meet enterprise standards for security, scale, and reliability. You'll do this while mentoring engineers, shaping our internal practices, and becoming the kind of trusted advisor that clients build their AI roadmaps around.

This role suits someone who is equally at home in a technical deep-dive and a boardroom. Someone who finds half-solved problems energising. Someone who wants their work to be visible, consequential, and fast-moving.

Key Responsibilities

Strategic Client Leadership

• Own the technical relationship with enterprise clients from initial discovery through to production, including C-suite engagement and long-term roadmap influence.
• Run workshops that identify and prioritise high-value AI use cases, translating business problems into concrete engineering plans.

Solution Design & Delivery

• Architect and ship enterprise-grade AI systems using the best available tooling (Claude, GPT, Gemini etc.) chosen for the problem, not the default.
• Design pipelines and agentic workflows that meet real enterprise requirements: security, scalability, cost efficiency, and reliability at production load.
• Integrate LLMs with complex enterprise data environments, including cloud platforms and data warehouses.

Technical Leadership

• Set the technical direction on engagements, making the hard calls on architecture, tooling, and trade‑offs.
• Mentor engineers on both sides of the client relationship, raising the standard of the whole team.
• Lead incident resolution and complex troubleshooting.

Governance & Operational Excellence

• Define evaluation frameworks that assess model quality, safety, and business impact.
• Implement LLMOps practices including monitoring, observability, and drift detection in production environments.
• Ensure every deployment meets enterprise security and compliance requirements from day one.

Here’s What You Need

Education & Experience:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 10+ years of experience in software engineering, solutions architecture, or technical consulting
• 3+ years delivering AI/ML or LLM-based solutions in production
• Proven track record of leading complex, customer-facing technical engagements

Technical Skills:

Programming & Engineering

You write production-quality code and have strong opinions about what that means. You're expert-level in at least one language and comfortable picking up others as the problem demands. You understand distributed systems and API design deeply enough to spot architectural risk early, and you've lived through enough incidents to know why observability and CI/CD hygiene matter.

LLM & AI Platforms

You have hands-on experience with Claude, GPT, and Gemini in production, not just demos. You understand the real trade-offs between models: cost, latency, context limits, reasoning quality, and where each breaks down. You know prompt engineering beyond the basics, have built RAG pipelines that handle messy real-world data, and have worked with agentic frameworks and MCP. Vector database selection and chunking strategy aren't abstract concepts to you.

Cloud & Data Technologies

You're strong on at least one major cloud platform (e.g. AWS, Azure, or GCP) and you understand how enterprise infrastructure constraints shape what you can actually deploy. You've worked with containerisation and orchestration in production environments, not just local Docker setups.

Data Platforms

You're comfortable working across the data stack, whether that's Snowflake, BigQuery, Databricks, or something bespoke. You know enough to integrate LLMs with complex data environments without needing a data engineer to translate for you.

Bonus points if with

• Experience deploying AI solutions in regulated industries such as finance, healthcare, or government
• Familiarity with responsible AI and model risk management frameworks
• Contributions to open-source projects or technical publications
• Experience with evaluation and observability tools such as LangSmith, Promptfoo, or Weights & Biases
• Prior experience in a startup or high-growth technology environment

Benefits of working at Accenture:

• 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 - centered around Accenture’s Truly Human ethos and our commitment to supporting the health and wellbeing of our people.
• We are proud to be in the top 3 of last year’s Diversity & Inclusion Index!

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Equal Employment Opportunity

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