*Forward Deployed Engineer*

8200 Accenture Australia P/L Company; City of Melbourne; On-site; AUD 180,000 - 240,000; Full time

Benefits offered by this job

18 weeks parental leave

Career breaks

Career development program

Global opportunities

Family inclusive workplace

Flexible work arrangements

Diversity & Inclusion

Job summary

Accenture Australia is seeking a Senior Forward Deployed Engineer to lead strategic client relationships and design enterprise AI systems. You will drive end-to-end delivery from initial discovery to production, selecting the best tooling for each problem and ensuring security, scale, and cost efficiency.

You will mentor engineers, shape internal practices, and guide clients on AI roadmaps while operating across cloud platforms and data environments.

Qualifications

• 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.

Responsibilities

• Own the technical relationship with enterprise clients from discovery to production, including C-suite engagement and roadmap influence.
• Architect and ship enterprise-grade AI systems using Claude, GPT, Gemini, etc., with secure, scalable design.
• Set the technical direction on engagements; mentor engineers and lead incident resolution.
• Define evaluation frameworks for model quality, safety, and business impact; implement LLMOps practices in production.

Skills

Strategic leadership

Solution design

Technical leadership

Governance

Cloud platforms

Education

Bachelor’s or Master’s degree in Computer Science or Engineering

Tools

Claude

GPT

Gemini

AWS

Azure

GCP

Snowflake

BigQuery

Databricks

Job description

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.

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.

• 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! We are a WORK180 Endorsed Employer

Equal Employment Opportunity

At Accenture, we recognise that our people are multi-dimensional, and we create a work environment where all people feel like they can bring their authentic selves to work, every day. Our unwavering commitment to inclusion and diversity unleashes innovation and creates a culture where everyone feels they have equal opportunity. Our range of progressive policies support flexibility in ‘where’, ‘when’ and ‘how’ our people work to ensure that Accenture is an organisation where you can strive for more, achieve great things and maintain the balance and wellbeing you need. We encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require adjustments to the recruitment process or have a preferred communication method, please email [e-mail] and cite the relevant Job Number, or contact us on [phone]. To ensure our workplace is inclusive and diverse we are setting bold goals and taking comprehensive action. To achieve these goals, we collect information that allows us to track the effectiveness of our Inclusion and Diversity programs. Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement.

Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you’ll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that’s why we offer support any way we can—when you thrive, we all thrive.