Description:
Senior AI & CAP Platform Development Consultant
External Consultant | Project-Based Engagement | Remote-Compatible
Overview
We are seeking a Senior AI & CAP Platform Development Consultant to provide specialised technical services on a cloud-native enterprise SaaS platform serving more than 15,000 business customers globally. The platform is built on SAP BTP / CAP (Node.js) and incorporates multi-agent AI systems, LangGraph-based orchestration, and grounded LLM capabilities over SAP business data. The engagement spans the full delivery lifecycle: CAP service design, AI system architecture, MLflow experiment management, DevSecOps, and Agile facilitation advisory.
The platform delivers learning access provisioning, certification management, and contract-driven entitlement services to enterprise customers. AI-assisted capabilities are an active investment area, including intelligent assignment recommendations, agentic operational tooling, and grounded LLM responses over SAP business data.
Scope of Services
Technical Delivery CAP / BTP
- Design and deliver CAP Node.js services: CDS entity modeling, OData V4 contracts, event-driven patterns, and service handler implementation
- Define SAP BTP Cloud Foundry deployment architecture; advise on service bindings, manifest management, and environment scaling
- Advise on CDS schema evolution (safe vs. lossy changes), API contract versioning, and multi-consumer service design
- Apply TDD practices using Vitest and @cap-js/cds-test; define and maintain CI/CD quality gates in Azure DevOps
- Advise on SAP HANA Cloud data modeling, OLTP/OLAP optimization, and Vector Engine configuration for semantic search
AI & Multi-Agent Development
- Architect and deliver stateful multi-agent workflows using LangGraph and SAP AI Core / Generative AI Hub
- Define agent topology, tool schemas and contracts, orchestration patterns, conditional edges, and loop termination strategies
- Design and implement human-in-the-loop checkpointing: approval flows, escalation triggers, and audit trails
- Execute model fine-tuning engagements (LoRA/QLoRA on Databricks): dataset curation, job execution, and quality evaluation against business benchmarks
- Design and deliver grounding pipelines combining vector search (SAP HANA Cloud Vector Engine or pgvector) with structured SAP business data
- Define AI experiment lifecycle via MLflow: run tracking, metric logging, model registry, artifact storage, and evaluation pipelines
- Define AI observability framework: token usage, latency per agent step, cost-per-run tracking, and hallucination detection reporting
- Build and evolve agentic operational tooling: scoped data retrieval, action execution interfaces, and escalation workflows for operations teams
Architecture & Technical Advisory
- Translate business requirements into technical architecture specifications, data models, and AI system designs
- Provide architectural guidance to developers on CAP design patterns, observability strategies, and agentic API design
- Advise on cross-team architecture alignment and identification of reusable components and services
- Design distributed, highly available microservices for multi-continent enterprise deployment scenarios
Agile Facilitation Services
- Provide facilitation services for Scrum ceremonies: sprint planning, refinement, retrospectives, and PI planning
- Advise on backlog structure, acceptance criteria quality, story decomposition, and cross-team dependency resolution
- Prepare and present roadmap status and AI capability progress to stakeholders at all levels
- Contribute to SAFe Program Increment planning and ART coordination activities
Security, Compliance & DevSecOps
- Apply and validate GDPR and data protection standards in delivered software, agent data flows, and API contracts
- Review and update security and authorisation concepts; track mitigation timelines for identified security findings
- Define and evolve CI/CD pipelines on Azure DevOps; integrate security scanning, testing, and release quality gates
- Identify and document privacy risks in feature design, model training datasets, and agentic data flows
Complex Incident Analysis & Operational Quality
- Provide specialist analysis and advisory input for high-complexity (3rd-level) escalation cases across CAP, ABAP, and AI pipeline layers
- Conduct root-cause analysis and deliver resolution guidance for critical platform quality incidents
- Advise on post-release quality monitoring using Dynatrace and Kibana across distributed BTP service layers
Required Skills & Qualifications
- 8+ years of enterprise software development experience; strong SAP CAP (Node.js) and BTP Cloud Foundry background
- LangGraph stateful multi-agent workflow design: graph topology, node functions, conditional edges, checkpointing, streaming
- SAP AI Core / Generative AI Hub deploy, consume, and configure foundation models from CAP and ABAP contexts
- MLflow experiment tracking, run logging, model registry, and agent evaluation pipelines
- Databricks fine-tuning (LoRA/QLoRA), Unity Catalog governance, job scheduling, model serving endpoints
- RAG pipeline design: vector search strategy, chunking policies, embedding selection, and re-ranking for enterprise knowledge bases
- CDS 10 entity modeling, OData V4, event-driven CAP patterns, and schema evolution best practices
- SAFe Agile delivery: PI planning, ART coordination, backlog advisory, and Scrum ceremony facilitation
- Azure DevOps CI/CD: pipeline architecture, quality gate definition, and DevSecOps practice evolution
- ABAP OO (7.54+): read, extend, and deliver ABAP services; NetWeaver OData / Gateway integration patterns
- GDPR / data protection: anonymisation, PII lifecycle, right-to-stop-processing, and multi-jurisdiction compliance
- Dynatrace and Kibana for BTP observability; structured prompt engineering for deterministic business outputs
- Fluent English; proven experience delivering in distributed international project teams
Beneficial Background
- Joule Studio custom skill and copilot extension development integrated with BTP services
- SAP HANA Cloud: advanced data modeling, OLTP/OLAP optimization, Vector Engine for semantic search
- SAP Identity Authentication Service (IAS): SSO, SAML/OIDC flows, and user provisioning patterns
- SAP API Management: proxy creation, rate limiting, and lifecycle maintenance for cloud/on-premise bridging
- SAP HCM LSO data model and integration patterns; SAP S/4HANA ERP Provider Contracts and Orders
- Domain experience with B2B SaaS licence provisioning, certification credentialing, or learning platform architecture
Technology Stack
SAP CAP (Node.js) CDS 10 SAP BTP (Cloud Foundry) SAP AI Core LangGraph MLflow Databricks SAP HANA Cloud ABAP OO Azure DevOps Dynatrace Kibana Vitest Postman / Newman Joule Studio pgvector SAP API Management SAP IAS
Enable Skills-Based Hiring No
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Additional Details
- Risk Level : Level 4
- Known Resource Email Address : (No Value)
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- Known Resource Phone Number : (No Value)
- Work delivery location (Country) : Germany | DE
- Work delivery location (City) : remote
- User Type : 33 Nonbillable Self Employed Worker
