AI SEAL (AI Solutions Engineer) Salesforce

The AI SEAL Salesforce designs builds and remediates Salesforce AI-enabled capabilities for the RECITE programme and exposes them safely through governed AI platform patterns.

The role acts as the execution arm for Salesforce-related AI use cases while adhering to enterprise AI standards architecture governance and security requirements.

The AI SEAL Salesforce works hands-on across Apex Lightning Web Components Flow Platform Events Salesforce integrations and AI platform tool patterns to deliver production-grade Salesforce solutions.

The function collaborates with the AI Champion AICoE AI Platform team business stakeholders and system-integrator build team to remediate technical gaps build reusable components and ensure secure auditable AI-enabled process automation.

• Salesforce Build & Remediation
• Design and remediate Salesforce capabilities using Apex LWC Flow Platform Events and established Salesforce integration patterns.
• Address findings against theprogrammeaudit rubric including code quality architecture posture flow quality security partitioning integration schema and feature parity.
• Support build quality stabilization and challenge system-integrator design decisions with evidence.
• AI Tools Agents & Governed Actions
• Expose Salesforce capabilities to agents through governed tools registered behind the AI platform / tool gateway rather than direct agent-to-Salesforce wiring.
• Author tool contracts allowlists JSON-Schema parameter validation and reusable action patterns.
• Design Salesforce read/write actions to the correct risk tier withappropriate approvaland human-in-the-loop controls for sensitive writes.
• Identity Security & Access Control
• Wire enterprise identity and document / record-level ACLs so agents only see data the end user is entitled to access.
• Preserve security trimming and authorizationforwardingin AI-enabled Salesforce use cases.
• Ensure OAuth authorization privacy and compliance requirements are implemented consistently.
• Power Platform & Reusable Components
• Build reusable components on Power Automate Copilot Studio Dataverse and related platform services whereappropriate.
• Align reusable build assets with AICoEarchitecture governance and reuse expectations.
• Monitordeployed solutions and continuouslyoptimizequality accuracy and performance.
• Collaboration & Delivery
• Work asexecutionpartner for the AI Champion and collaborate closely with Salesforce business owners IT Data & Analytics security and SI teams.
• Provide transparent delivery status technical risks dependencies and improvement proposals.
• Support adoption by ensuring solutionsarereliable explainable and embedded in the target process.
• Governance Quality & Compliance
• Ensure Salesforce AI solutions pass design security operational-readiness publish and change-control gates.
• Implement telemetry evaluation grounding and audit evidence where needed.
• Ensure compliance with AI policies data privacy security standards and applicable regulatory requirements.

• Minimum10yearson the Salesforce platform with hands-on depth in Apex LWC Flow Platform Events integrations and governor limits
• Production experience with AI agent platforms or enterprise AI automation not only conference or demo exposure
• Experience with Salesforce architecture remediation quality reviews and production support
• Strong understanding of security authorization data model APIs and integration patterns
• Experience working in large transformation programmes with SI and internal IT teams
• Strong Salesforce engineering skills in Apex LWC Flow Platform Events and integration patterns
• Ability to design governed AI tools/actions and secure agent interactions with Salesforce
• Understanding of OAuth ACLs security trimming data privacy and enterprise security requirements
• Experience with Power Platform / Copilot Studio or comparable enterprise automation platforms
• Ability toanalysearchitecture decisions and provide evidence-based remediation proposals
• Ability to work as senior individual contributor and technical delivery lead within an AI pod
• Strong collaboration with product owner architects business process experts and SI developers
• Ability to challenge technical decisions constructively and drive quality improvement
• Clear communication of risks trade-offs and dependencies to non-technical stakeholders
• Hands-on builder mindset structured and quality-oriented pragmatic collaborative proactive security-conscious resilient under delivery pressure and able to translate complex technical topics into clear business language.
• English - Business fluency

• Salesforce Data Cloud MuleSoft SAP integration or BTP integration knowledge
• Experience with model evaluation observability prompt-injection testing and AI governance
• Knowledge of RECITE-related Salesforce process areas e.g. sales service configurator document generation or e-signature
• German - Colloquial knowledge (not mandatory)

• Best opportunities in a globally operating company valuing diversity inclusion sustainability and mutual trust
• Home office allowance
• 25 days paid annual leave
• Additional health insurance
• 102.26 EUR Food vouchers
• Public transportation card
• Multisport /Coolfitcard
• Opportunity for flexibility with a hybrid working model
• Employee Assistance Program (Mental Health Legal & Financial Counselling)
• Language training opportunity
• Brand new modern office premises in a class A Business building
• Employee referral program
• Fresh fruits in the office
• Training and mentorship programs
• Access to over 15000 LinkedIn Learning courses to assist in your development

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