- Most Innovative Companies in the UK – 2024
- Great Place to Work® Certified™ (2022 – Present)
- Excellence
- Integrity
- Learning
- Organizational Pride
- Respect
- Design and develop AI/LLM-powered enterprise applications, intelligent workflows, and AI-driven business solutions.
- Build enterprise AI copilots, AI agents, conversational AI systems, and intelligent automation platforms integrated with SAP and enterprise applications.
- Develop scalable backend services and AI middleware using Python and Java.
- Implement advanced RAG pipelines, semantic search, vector databases, memory architectures, and enterprise knowledge retrieval systems.
- Work with frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, and related AI orchestration frameworks.
- Design and develop multi-agent AI architectures and enterprise AI orchestration workflows.
- Integrate AI solutions with SAP Joule, SAP AI Core & AI Launchpad, SAP Generative AI Hub, SAP BTP, SAP S/4HANA, SAP BRIM, SAP Integration Suite, SAP CAP Framework, SAP HANA Cloud, and SAP Event Mesh.
- Develop secure API integrations, enterprise AI workflows, and cloud-native AI services.
- Implement AI observability, monitoring, tracing, evaluation, and optimization frameworks for production AI systems.
- Ensure enterprise-grade AI governance, security, compliance, RBAC, responsible AI practices, and auditability standards.
- Optimize AI solutions for scalability, performance, reliability, maintainability, and cost efficiency.
- Build reusable AI accelerators, frameworks, enterprise copilots, and product engineering components.
- Collaborate with consulting, engineering, architecture, and customer teams for enterprise solution delivery.
- Participate in architecture reviews, technical governance, presales discussions, and innovation initiatives.
- Mentor junior team members and contribute to technical leadership and AI Centre of Excellence (CoE) initiatives.
- Strong hands-on experience in Python and Java development.
- Expertise in LLMs, Generative AI, Prompt Engineering, RAG architectures, and AI orchestration patterns.
- Strong experience developing enterprise AI copilots, AI agents, and agentic AI systems.
- Hands-on experience with LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, Hugging Face Transformers, and FastAPI.
- Strong understanding of AI agents, function calling, multi-agent orchestration, semantic search, memory architectures, and enterprise AI workflows.
- Experience with vector databases such as FAISS, Pinecone, ChromaDB, pgvector, and Weaviate.
- Expertise in SAP AI technologies including SAP Joule, SAP AI Core, SAP AI Launchpad, SAP Generative AI Hub, and SAP BTP.
- Strong familiarity with SAP Integration Suite, SAP CAP Framework, SAP HANA Cloud, SAP Event Mesh, and SAPUI5 / Fiori integrations.
- Experience integrating enterprise AI solutions with SAP S/4HANA, SAP BRIM, and other SAP enterprise applications.
- Working experience with AWS, Azure, or GCP cloud platforms.
- Knowledge of Docker, Kubernetes, CI/CD, Microservices, API management, and distributed systems.
- Understanding of MLOps / LLMOps concepts including model deployment, monitoring, observability, and evaluation frameworks.
- Familiarity with AI monitoring and evaluation tools such as LangSmith, MLflow, PromptLayer, Arize, or similar platforms (preferred).
- Knowledge of enterprise AI security, governance, responsible AI, and compliance frameworks.
- Strong analytical, communication, stakeholder management, and problem-solving skills.
- Bachelor’s or Master’s degree in Computer Science, AI/ML, Engineering, or related field.
- SAP BTP, SAP AI, Cloud, or Generative AI certifications are an advantage.
- Experience working in enterprise consulting and product engineering environments.
- Exposure to SAP BRIM, Quote-to-Cash, Finance, or enterprise transformation projects.
- Experience contributing to enterprise AI platforms, reusable accelerators, or AI product engineering initiatives.
- Understanding of enterprise business processes and AI-driven workflow automation.
- Exceptional written and verbal communication skills, with the confidence to present to senior stakeholders and C-suite audiences.
- Strong stakeholder management, with experience across global client-facing engagements.
- Collaborative team player capable of working across cultures and time zones in a fast-paced consulting environment.
- Self-motivated, curious, and proactive — able to take ownership and drive outcomes with minimal supervision.
- Adaptable and resilient; comfortable navigating ambiguity and change during complex enterprise AI delivery.
Skills Required
- Strong hands-on experience developing with Python and Java
- Expertise in LLMs, Generative AI, prompt engineering, RAG architectures, and AI orchestration patterns
- Experience developing enterprise AI copilots, AI agents, and agentic AI systems
- Hands-on experience with LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, Hugging Face Transformers, and FastAPI
- Understanding of AI agents, function calling, multi-agent orchestration, semantic search, memory architectures, and enterprise AI workflows
- Experience with vector databases including FAISS, Pinecone, ChromaDB, pgvector, and Weaviate
- Expertise in SAP AI technologies including SAP Joule, SAP AI Core, SAP AI Launchpad, SAP Generative AI Hub, and SAP BTP
- Familiarity with SAP Integration Suite, SAP CAP Framework, SAP HANA Cloud, SAP Event Mesh, and SAPUI5 or Fiori integrations
- Experience integrating enterprise AI solutions with SAP S/4HANA, SAP BRIM, and other SAP enterprise applications
- Working experience with AWS, Azure, or GCP
- Knowledge of Docker, Kubernetes, CI/CD, microservices, API management, and distributed systems
- Understanding of MLOps and LLMOps, including deployment, monitoring, observability, and evaluation
- Knowledge of enterprise AI security, governance, responsible AI, and compliance frameworks
- Strong analytical, communication, stakeholder management, and problem-solving skills
- Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, or a related field
- SAP BTP, SAP AI, cloud, or Generative AI certifications
- Experience in enterprise consulting and product engineering environments
- Exposure to SAP BRIM, Quote-to-Cash, Finance, or enterprise transformation projects
- Experience contributing to enterprise AI platforms, reusable accelerators, or AI product engineering initiatives
- Familiarity with LangSmith, MLflow, PromptLayer, Arize, or similar AI monitoring and evaluation tools
- Understanding of enterprise business processes and AI-driven workflow automation
What We Do
Acuiti Labs is a specialist SAP consulting firm based out of London, servicing clients globally for ‘Order to Cash’ process transformation and optimisation with a presence in Europe, North America, and South Asia. As an SAP Certified Partner, Acuiti Labs has been successfully delivering business technology solutions & digital transformation deploying SAP BRIM (Billing) on S/4HANA and cloud-based applications such as Subscription Billing, CPQ & Entitlement Management. To manage the business requirement of real-time usage data monetization, AcuitiLabs uses SAP Billing and Revenue Innovation Management (BRIM) for providing end-to-end solutions for order-to-cash processes. Acuiti Labs have the experience of delivering successful transformations for multiple industries to support subscription and consumption-based Target Operating Models such as: • Mobility-as-a-Service (travel using public transport and private vehicles) • Tourism-as-a-Service (hotels, entertainment parks) • Ports-as-a-Service (Airports and Seaports) • Postal-as-a-Service • Telco-as-a-Service • Media-as-a-Service • Hi-Tech Acuiti Labs emphases on value realization and monetization of digital assets and strategies, delivering end-to-end services for clients. Customer satisfaction is at the centre of all its endeavors








