Forward Deployed Engineer
Technology, Data & Digital · Software & Web Development · Software Engineering · Data Science
In short
Accenture is seeking a Senior Forward Deployed Engineer to design and implement AI systems for enterprise clients. You will own the end-to-end delivery, from client engagement to production systems, utilizing a variety of AI tools and platforms. This role requires strong technical leadership, strategic client management, and hands-on experience with LLMs, cloud technologies, and data platforms.
Responsibilities
- Own the technical relationship with enterprise clients from initial discovery through to production.
- Run workshops that identify and prioritise high-value AI use cases, translating business problems into concrete engineering plans.
- Architect and ship enterprise-grade AI systems using the best available tooling (Claude, GPT, Gemini etc.) chosen for the problem.
- Design pipelines and agentic workflows that meet enterprise requirements: security, scalability, cost efficiency, and reliability at production load.
- Integrate LLMs with complex enterprise data environments, including cloud platforms and data warehouses.
- 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.
- 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.
Requirements
- 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.
- Expert-level proficiency in at least one programming language and comfort with others.
- Deep understanding of distributed systems and API design.
- Hands-on experience with Claude, GPT, and Gemini in production.
- Understanding of LLM trade-offs: cost, latency, context limits, reasoning quality.
- Experience with prompt engineering, RAG pipelines, and agentic frameworks.
- Strong proficiency on at least one major cloud platform (AWS, Azure, or GCP).
- Experience with containerization and orchestration in production environments.
- Comfort working across the data stack (e.g., Snowflake, BigQuery, Databricks).
Desired Qualifications
- 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
- 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
- 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 on the job and through formal training (online, classroom, collaboration)
- Unbeatable platform from which to build a career
#AI#LLM#Machine Learning#Forward Deployed Engineer#Solutions Architecture#Technical Consulting#Cloud#Data