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VNOMIC IS HIRING
Vnomic is expanding its global delivery and sales organization to support large-scale enterprise transformation programs across SAP, Microsoft Azure, cloud infrastructure, and Agentic AI. We are looking for experienced professionals who can work directly with enterprise customers and take ownership from strategy and architecture through implementation, production deployment, and business outcomes.
The SAP Director of Delivery will lead Vnomic's global SAP transformation, migration, and cloud delivery programs for large enterprise customers. This is a senior customer-facing leadership position responsible for successful execution of complex SAP programs, including SAP datacenter migrations, SAP on Azure, SAP RISE migrations, disaster recovery, high availability, and infrastructure modernization.
Key Responsibilities
- Own end-to-end delivery of complex enterprise SAP transformation and migration programs.
- Lead SAP migrations from datacenters and other clouds to Microsoft Azure and SAP RISE.
- Manage SAP ECC, S/4HANA, BW, EWM, SCM, HANA and other enterprise SAP environments.
- Lead project planning, architecture, migration waves, testing, cutover, go-live, and hypercare.
- Coordinate SAP Basis, infrastructure, cloud, network, security, database, application, and business teams.
- Establish project governance, delivery milestones, RACI, risk management, escalation, and executive reporting.
- Manage customer teams, Microsoft, SAP, system integrators, MSPs, and other third-party suppliers.
- Ensure solutions meet enterprise requirements for performance, availability, security, compliance, backup, HA, and disaster recovery.
- Drive automation and standardization using Vnomic technology and engineering methodologies.
- Maintain accountability for project quality, schedule, customer satisfaction, and successful production deployment.
Requirements
- 12+ years of enterprise SAP experience, including significant delivery leadership responsibility.
- 7+ years managing large SAP infrastructure, migration, transformation, or cloud programs.
- Strong knowledge of SAP ECC, S/4HANA, HANA, BW and enterprise SAP architecture.
- Experience with SAP migrations to Microsoft Azure and/or SAP RISE.
- Strong understanding of SAP HA, DR, backup/recovery, networking, security, and infrastructure requirements.
- Experience managing global customers and geographically distributed delivery teams.
- Demonstrated ability to manage complex multi-vendor programs involving SAP, Microsoft, MSPs, and system integrators.
- Strong executive communication, project governance, financial management, risk management, and escalation skills.
- Ability to take ownership of delivery from initial planning through production go-live.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent professional experience.
- SAP, Microsoft Azure, PMP, or related certifications are preferred.
The Cloud Solution Architect will design and deliver enterprise-grade Microsoft Azure solutions supporting SAP, datacenter migration, disaster recovery, cloud modernization, and mission-critical applications. The role combines architecture with hands-on delivery and requires the ability to translate enterprise requirements into secure, resilient, automated cloud solutions.
Key Responsibilities
- Design enterprise Azure architectures for SAP and non-SAP workloads.
- Assess existing datacenter environments, applications, infrastructure, networks, security, and dependencies.
- Develop Azure landing-zone, migration, HA, DR, backup, networking, storage, and security architectures.
- Create detailed cloud architecture, build specifications, migration designs, and deployment plans.
- Lead technical workshops and architecture discussions with enterprise customers.
- Design solutions using Azure compute, storage, networking, Azure NetApp Files, Key Vault, Azure Monitor, Defender, Sentinel, Azure Site Recovery, and related services.
- Support SAP HANA, Oracle, SQL Server, DB2 and other enterprise database platforms.
- Define infrastructure-as-code and automation approaches using Terraform, Ansible, PowerShell, Azure DevOps, and related technologies.
- Validate performance, security, resilience, scalability, and operational readiness before production deployment.
- Troubleshoot complex cloud infrastructure and application integration issues.
- Work closely with SAP, network, security, application, database, and AI engineering teams.
Requirements
- 7+ years of infrastructure, cloud, or enterprise architecture experience.
- 4+ years of hands-on Microsoft Azure architecture and implementation experience.
- Strong knowledge of Azure networking, compute, storage, identity, security, monitoring, backup, and disaster recovery.
- Experience designing enterprise landing zones and migrating large production environments to Azure.
- Knowledge of SAP on Azure is strongly preferred.
- Understanding of enterprise databases including HANA, Oracle, SQL Server and/or DB2.
- Experience with Terraform, Ansible, Azure DevOps, Git, PowerShell, or similar automation technologies.
- Understanding of identity, RBAC, Key Vault, firewalls, private endpoints, network security, and Zero Trust principles.
- Ability to translate business and technical requirements into production-ready architectures.
- Strong customer-facing communication, documentation, troubleshooting, and presentation skills.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience.
- Microsoft Azure Solutions Architect Expert or equivalent certification is preferred.
The AI Engineer will design, build, integrate, test, and deploy production-grade enterprise AI agents and multi-agent solutions. The role will work directly with enterprise customers to transform business processes into secure Agentic AI solutions integrated with systems such as SAP, Oracle, Microsoft Dynamics, ServiceNow, databases, APIs, documents, and enterprise knowledge sources.
Vnomic AI Engineers will combine modern AI platforms with Vnomic Agent Director to help customers move AI initiatives from proof-of-concept to governed, secure, production-ready solutions.
Key Responsibilities
- Design and develop enterprise AI agents and multi-agent workflows.
- Translate business processes and requirements into agent workflows, tools, actions, decision boundaries, and approval processes.
- Build solutions using Microsoft Foundry, Azure AI services, Azure OpenAI, Copilot Studio, and related technologies.
- Integrate agents with SAP, Oracle, Dynamics 365, ServiceNow, SQL databases, APIs, documents, and enterprise data sources.
- Implement Retrieval-Augmented Generation (RAG), enterprise search, knowledge grounding, tool calling, and agent orchestration.
- Develop deterministic workflows where business rules require predictable execution and probabilistic AI capabilities where reasoning or interpretation is appropriate.
- Implement agent identity, authorization, least-privilege access, human-in-the-loop controls, and approval workflows.
- Develop evaluations for accuracy, hallucination, safety, performance, security, and business outcomes.
- Implement observability, tracing, logging, monitoring, and auditability for production agents.
- Use Vnomic Agent Director to define and validate Agent Contracts, policies, controls, testing requirements, and operational assurance.
- Support AI solution deployment, testing, production readiness, and ongoing optimization.
- Work directly with business executives, process owners, security teams, architects, and application teams.
Requirements
- 3+ years of software, data, machine learning, or AI engineering experience.
- Hands-on experience developing solutions using LLMs and Generative AI.
- Strong Python development skills.
- Experience with agent frameworks, tool/function calling, APIs, RAG, embeddings, vector databases, and enterprise search.
- Experience with Microsoft Azure AI, Azure OpenAI, Microsoft Foundry, Copilot Studio, or comparable enterprise AI platforms.
- Understanding of prompt engineering, context management, model evaluation, guardrails, and AI safety.
- Experience integrating AI solutions with enterprise applications and APIs.
- Understanding of authentication, authorization, OAuth, managed identities, RBAC, secrets management, and enterprise security.
- Knowledge of AI governance, privacy, security, compliance, and responsible AI principles.
- Experience with software engineering practices including Git, CI/CD, APIs, containers, testing, and cloud-native application development.
- Ability to work directly with customers to convert business requirements into production solutions.
- Strong analytical, communication, documentation, and problem-solving skills.
- Bachelor's or Master's degree in Computer Science, AI, Engineering, Data Science, or equivalent practical experience.
Senior Account Executive – Enterprise Cloud & AI
The Senior Account Executive will be responsible for developing and closing strategic enterprise opportunities for Vnomic's SAP, Azure, datacenter modernization, disaster recovery, and Agentic AI solutions. This is a senior customer-facing sales role focused on building executive relationships, developing new accounts, expanding existing customers, and working closely with Microsoft and other strategic partners to create and close large transformation engagements.
Key Responsibilities
- Develop and execute account strategies for large enterprise customers.
- Build relationships with CIOs, CTOs, CISOs, business executives, SAP leaders, cloud leaders, AI leaders, and procurement organizations.
- Identify customer priorities and develop opportunities across SAP migration, datacenter modernization, Azure transformation, disaster recovery, and Agentic AI.
- Position Vnomic's enterprise services and technology capabilities, including Vnomic Agent Director.
- Lead customer discovery sessions and translate business and technology priorities into qualified opportunities.
- Develop executive-level business cases, proposals, statements of work, and commercial strategies.
- Manage the complete sales lifecycle from prospecting and qualification through proposal, negotiation, and contract execution.
- Build and manage a strong enterprise sales pipeline and provide accurate forecasting.
- Develop opportunities jointly with Microsoft field sales, solution teams, partner organizations, and other strategic ecosystem partners.
- Coordinate Vnomic technical, delivery, and executive teams throughout the sales process.
- Expand existing customer relationships by identifying additional transformation and managed-service opportunities.
- Develop customer references, executive sponsorship, and long-term strategic relationships.
- Meet or exceed annual bookings and revenue targets.
Requirements
- 8+ years of enterprise technology sales experience.
- Proven experience selling complex cloud, SAP, infrastructure, AI, consulting, or digital transformation services.
- Demonstrated success closing large enterprise engagements and multi-year services agreements.
- Strong relationships and experience working with Fortune 1000 or global enterprise customers.
- Experience selling Microsoft Azure, SAP, cloud migration, managed services, or AI solutions is strongly preferred.
- Understanding of enterprise technology buying processes, procurement, contracting, security reviews, and executive decision-making.
- Ability to sell business outcomes rather than individual technical products.
- Strong executive presence with the ability to communicate effectively with C-level customers.
- Experience developing opportunities jointly with Microsoft or other major technology partners is preferred.
- Strong pipeline management, forecasting, negotiation, and commercial skills.
- Self-motivated and comfortable operating in a high-growth entrepreneurial environment.
- Ability to collaborate closely with solution architects, delivery leaders, engineering teams, and executives.
- Bachelor's degree or equivalent professional experience.
Make an Impact, Every Day
Across all positions, Vnomic is looking for people who are comfortable operating in mission-critical global enterprise environments. Candidates should be able to go beyond recommendations and take ownership of measurable customer outcomes.
We value professionals who combine deep expertise, customer engagement, engineering discipline, business acumen, security, governance, and accountability. These positions will work with global enterprise customers and Microsoft teams on major SAP, Azure, datacenter modernization, and Agentic AI transformation initiatives.
Forward-Deployed Engineers
Work directly with customer teams to design, integrate, validate, and provide auditable AI decisions and automation solutions.
Cloud and SAP Automation
Build automated deployment, resilience, security, backup, migration, and FinOps capabilities for enterprise landscapes.
AI Governance Engineering
Develop policies, validation logic, approval flows, observability, and audit evidence for agentic AI systems.
Who Thrives Here
Engineers who like mission-critical enterprise systems. Builders who can work across cloud, SAP, data, security, and AI. Delivery leaders who can move customers from concept to production.
Explore Opportunities
Send your resume and a short note about the enterprise automation or AI systems you have built.