Senior Forward Deployed Engineer

Informatica; Sydney; Presencial; AUD 180 000 - 260 000; Tempo integral

Resumo da oferta

Salesforce is actively hiring Senior Forward Deployed Engineers to design, build, and deploy agentic AI solutions directly inside enterprise environments. You will lead technical delivery, mentor engineers, and set engineering standards that scale agentic AI with best-in-class tools and a skilled team.

You will own end-to-end delivery with a Deployment Strategist, work on the Agentforce platform, and translate complex customer needs into tangible outcomes.

Qualificações

• 6+ years of software engineering or technical delivery experience.
• Degree in Computer Science or a related field.
• Experience integrating LLMs into production with LangChain or LlamaIndex.
• Strong data modeling, processing and analytics across Salesforce Data 360, Snowflake or Databricks.
• Deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.
• Entrepreneurial, fast delivery mindset with good judgment.
• Mentored engineers and created reusable assets and tooling.
• Clear, credible communication with engineers, customer architects, and execs.
• Willingness to travel ~25% with customers.

Responsabilidades

• Own end-to-end build and deployment of agentic AI solutions for Salesforce's strategic customers.
• Design and ship agentic systems on the Agentforce platform with robust integration patterns.
• Own the data lifecycle for AI applications across Salesforce Data 360, Snowflake, Databricks.
• Resolve blockers in data integration, model deployment, or orchestration.
• Build and maintain agent performance dashboards and KPI reporting.
• Develop proofs-of-concept and MVPs with smart trade-offs.
• Codify learnings into playbooks and reusable assets.
• Mentor engineers through code reviews and paired sessions.
• Provide depth on high-risk or critical deployments.
• Surface field insights to Product and Engineering to influence roadmap.
• Partner with Deployment Strategist to translate business challenges into solutions.

Conhecimentos

End-to-end ownership

Technical leadership

Mentoring engineers

Data modeling

Formação académica

Bachelor's degree in Computer Science or related field

Ferramentas

LangChain

LlamaIndex

Apex

LWC

Salesforce APIs

Descrição da oferta de emprego

Salesforce is hiring Senior Forward Deployed Engineers — the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you.

The Senior Builder Experience

• Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end-to-end. You're the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether it was generated by an AI tool by a colleague or written by you directly.
• AI-Supported Engineering: Cursor, Claude, and Salesforce coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference.
• Roadmap Influence: Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AIproduct evolution.
• Continuous Innovation: You're expected to stay at the forefront — piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers.

What You'll Actually Be Building

• Own end-to-end build and deployment of agentic AI solutions for Salesforce's most strategic customers — from architecture decisions through production handoff.
• Design and ship agentic systems on the Agentforce platform: agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and the integration patterns that hold up in enterprise environments. Your reference implementations become the basis for how other Builders approach similar problems.
• Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms.
• Resolve the technical blockers that other engineers can't — data integration failures, model deployment issues, orchestration breakdowns, performance regressions. These problems are routed to you because of your track record of solving them.
• Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes across engagements.
• Develop proofs-of-concept and MVPs quickly, with the judgment to know which decisions can be deferred and which need to be right the first time.
• Codify what you learn. The patterns, reusable assets, and internal frameworks that come out of your real customer work become the playbooks the rest of the org draws from.
• Mentor other Engineers through code reviews, pair sessions, and shared work. Most of your influence on developing engineers happens inside the same codebases you're building in.
• Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed.
• Surface field insights directly to Product and Engineering. The gaps and edge cases you encounter in real customer environments are some of the most valuable inputs to the Agentforce roadmap.
• Partner with the Deployment Strategist on your team to translate complex customer business challenges into agentic solutions that actually ship.

Experience

• You have 6+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
• You have a degree in Computer Science or a related field
• You've integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.
• You have deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks.
• You bring deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.
• You have an entrepreneurial, get-things-done mindset focused on fast, impactful delivery — and the judgment to know when "fast" is the wrong call.
• You've mentored technical talent and created reusable assets — frameworks, playbooks, internal tooling.
• You communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders.
• You actively tinker with the evolving AI/data landscape — piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.
• You're excited to travel ~25% of the time, embedded with customer engineers.

Nice-to-Haves

• Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect)
• Familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks
• Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers
• Track record of influencing enterprise software product roadmaps through field engineering insight
• Open-source contributions, published technical writing, or conference presentations