Senior Consultant, Apps & AI

Provide strong client-facing consulting, demonstrating communication, stakeholder management, problem-solving, and team leadership, while acting as a trusted advisor across pre-sales and delivery Assess business requirements and identify high-value AI-enabled application opportunities, translating them into scalable architectures, solution designs, and delivery roadmaps Design and build scalable, secure full-stack applications using modern frameworks and backend technologies (.NET, Java, Node.js, Python) with microservices and distributed systems Deliver AI-enabled applications using Azure OpenAI, Azure AI Services, and custom ML models, including agentic AI systems and optimized RAG architecturesArchitect cloud-native solutions on Azure, ensuring scalability, resilience, security, identity integration, and alignment with enterprise best practices Lead end-to-end delivery lifecycle (discovery → design → build → deploy → optimize), ensuring solutions are production-ready and aligned to business outcomes [opsiocloud.com] Implement DevOps and platform engineering practices, including CI/CD pipelines, Infrastructure-as-Code, DevSecOps, and developer productivity improvements Drive deployment and release management, including environment provisioning, automated deployments, and advanced rollout strategies (blue-green, canary, rolling) with post-deployment validation and optimization Establish operational excellence, including monitoring, observability, reliability (SRE), incident management, and transition to support teams Lead solutioning, pre-sales, and technical leadership, including architecture design, estimations, proposals, and ensuring measurable business value, scalability, and performance of AI and application solutions [devopsschool.com] Need to have a deep technical background with 10+ years of technology-related experience in software/solution engineering, cloud computing, architecture and delivery leadership roles. Proven experience in leading delivery of complex, multi-disciplinary projects. Strong understanding of modern delivery methodologies (Agile, Scrum, DevOps, etc.). Excellent communication, stakeholder management, problem-solving, and team leadership skills. Relevant certifications are a plus. Require in depth expertise in the following functional areas. Full Stack Application Engineering: Design and build scalable, secure web and mobile applications using modern frontend frameworks and backend technologies (.NET, Java, Node.js, Python), with robust microservices and distributed systems across relational and NoSQL databases. AI‑Enabled Application Development: Deliver enterprise AI solutions with Azure OpenAI, Azure AI Services, and custom machine learning, including secure, advanced agentic AI systems and optimized RAG architectures. Cloud‑Native Architecture (Azure): Design scalable, secure Azure cloud-native architectures using managed services and best practices for computing, identity, security, and resilience. DevOps, Platform & Developer Productivity: Automate secure CI/CD pipelines, Infrastructure-as-Code, observability, productivity tools, and DevSecOps solutions for efficient, compliant cloud platform delivery in Azure DevOps and GitHub. Solutioning, Pre-Sales & Technical Leadership: Drive solution architecture, estimations, technical direction, and act as a trusted advisor in pre-sales and delivery. A degree or equivalent work experience combined with relevant industry experience in a consulting role. Experience working on multi-phase global implementations is preferred. Fluency in written and spoken English. Ability to communicate with a variety of different audiences and strong presentation skills. Demonstrated ability to match technical solutions with customer business requirements. Ability to lead and motivate technical communities. Ability to effectively recognize and adapt to change. Ability to quickly build relationships and credibility with customers. A passion for learning about and experimenting with new technologies. Ability to build trust to drive changes with customers. Collaborate with customers to identify business requirements. Continually learn and grow professionally.Take a leadership role on projects.