Presales Architect – Cloud Native and Agentic AI Solutions

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Meytier Premier Employer

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{"group":"Organization","title":"Presales Architect – Cloud Native and Agentic AI Solutions","skills":"<ul><li>14–16 years in presales, architecture, or consulting with experience shaping enterprise-scale deals and modernization programs.</li><li>Strong cloud-native architecture capability: Kubernetes, microservices, API management, event-driven systems, CI/CD, IaC, observability, resiliency.</li><li>Demonstrated experience designing GenAI/Agentic AI solutions, including RAG, orchestration/tool-use, evaluation, monitoring, and guardrails.</li><li>Practical understanding of Agentic SDLC and how agentic approaches affect engineering workflow, quality gates, security controls, and operational readiness.</li><li>Strong grounding in enterprise architecture fundamentals: security, privacy, compliance, resiliency, performance engineering, and cost management.</li><li>Demonstrated ability to produce executive-ready deliverables: proposals, SOW inputs, roadmaps, architecture diagrams, and estimates.</li></ul><p><strong>Preferred Qualifications</strong></p><ul><li>Microsoft-first enterprise experience (Azure ecosystem; Azure Foundry, AKS (Azure Kubernetes Service), Azure API Management, Azure DevOps/GitHub).</li><li>Experience with Responsible AI controls: evaluation, safety testing, governance, human-in-the-loop, monitoring, and auditability.</li><li>Experience with DevSecOps, GitHub and software supply chain security patterns in enterprise environments.</li><li>Certifications: Azure Solutions Architect Expert, Kubernetes (CKAD), AI/ML credentials (preferred).</li></ul><p><strong>What Success Looks Like (First 90–180 Days)</strong></p><ul><li>Supports multiple pursuits where stakeholders see clear alignment between business outcomes, architecture, and delivery feasibility.</li><li>Improves proposal quality through stronger scope discipline, estimation rigor, and risk framing.</li><li>Establishes reusable solution patterns across Cloud Native + Agentic AI + Agentic SDLC and applies them consistently in pursuits.</li><li>Enable smoother delivery transitions through complete, structured handoffs and governance readiness.</li></ul><p><strong>Working Style &amp; Expectations</strong></p><ul><li>Outcome-led, structured, and commercially grounded approach to solution design.</li><li>Strong client communication and facilitation skills; credible with both business and technical leaders.</li><li>Collaborative across onshore/offshore teams, Sales, Delivery, Security, and partner ecosystem teams to drive pursuit success.</li></ul>","zohoId":"","endDate":"2026-03-03T18:30:00.000Z","isDraft":false,"jobType":"Full Time","job_url":"3330-winwire-presales-architect-cloud-native-and-agentic-ai-solutions","agencyId":1,"benefits":"","clientId":"35","location":[{"lat":12.9628669,"lon":77.57750899999999,"zip":"","city":"Bengaluru","text":"Bangalore, Karnataka, India","state":"Karnataka","country":"India","is_city":true,"is_state":false,"is_country":false,"state_code":"KA","countryCode":"IN","isLocationSet":true,"nearByHexCodes":["8461893ffffffff","8461891ffffffff","8461897ffffffff","8460169ffffffff","8460145ffffffff","846014dffffffff","846189bffffffff"],"loc_h3_hex_res4":"8461893ffffffff","isLocationResolved":true}],"eeocFound":false,"maxSalary":"","minSalary":"","questions":[],"startDate":"2026-02-02T18:30:00.000Z","hiringSPOC":"Prabhakar Mandal","hiringTags":[],"onBehalfOf":"161","companyName":"Meytier","description":"<p>We are seeking a Presales Architect – Cloud Native and Agentic AI Solutions with strong client presence and the ability to shape and support complex pursuits that combine cloud-native modernization with GenAI (Generative Artificial Intelligence)–enabled Agentic AI (Autonomous/Orchestrated AI Agents) solutions. This role sits at the intersection of business outcomes, modern engineering, and solution architecture—bringing Agentic SDLC (Software Development Life Cycle) thinking into how solutions are designed, built, tested, secured, and operated.</p><p><br></p><p>You will lead end-to-end solutioning—from discovery and vision to reference architecture, value case, scope definition, estimation, and oral defense support—partnering with onshore presales leadership, Sales, and Delivery teams to build proposals that are outcome-led, commercially sound, and operationally executable.</p><p><br></p><p>This is a senior individual contributor role with significant influence across pursuits and reusable asset development.</p><p><br></p><p><br></p><p>Key Responsibilities</p><p>Client Engagement, Value Framing &amp; Executive Communication</p><p>Lead client discussions to align business priorities, transformation outcomes, and decision criteria.</p><p>Translate objectives into a clear solution storyline that resonates with BDMs (Business Decision Makers) and TDMs (Technical Decision Makers).</p><p>Facilitate workshops to drive alignment across stakeholders, articulate trade-offs, and enable timely decisions.</p><p>End-to-End Solution Architecture Across Cloud Native &amp; Agentic AI</p><p>Architect enterprise solutions that integrate:</p><p>Cloud Native (Platform + Applications)</p><p>Cloud-native architectures across microservices, API-first design, event-driven integration, and resilience/performance engineering.</p><p>Kubernetes/container platforms, platform engineering patterns, CI/CD (Continuous Integration/Continuous Delivery), IaC (Infrastructure as Code), and observability.</p><p>Modernization approaches (rehost/refactor/re-architect) with clear sequencing, dependencies, and risk controls.</p><p>Agentic AI &amp; GenAI Solutions</p><p>Agentic workflows, orchestration patterns, tool/function calling, and multi-agent patterns where appropriate.</p><p>Retrieval-Augmented Generation (RAG), grounding strategies, enterprise data access patterns, and integration with business systems.</p><p>Evaluation frameworks (quality, safety, regression), observability, monitoring, and guardrails for safe deployment and operations.</p><p>Agentic SDLC (Engineering + Quality + Operations) Enablement</p><p>Embed Agentic SDLC into the solution approach, including agent-assisted engineering, agentic quality engineering, DevSecOps (Development, Security, and Operations), and SRE (Site Reliability Engineering) readiness.</p><p>Define governance and controls for GenAI/agents across SDLC phases: evaluation gates, traceability, approvals, auditability, and continuous improvement.</p><p>Define NFRs (Non-Functional Requirements) and architecture controls across security, privacy, compliance, reliability, performance, and cost.</p><p>Pursuit Support, Proposal Development &amp; Deal Shaping</p><p>Own presales technical deliverables: solution approach, reference architecture, phased roadmap, delivery model inputs, staffing plan inputs, estimates, assumptions/dependencies, and risk register.</p><p>Drive scope clarity and packaging: phased releases, options, and scalable delivery constructs.</p><p>Support bid responses and oral defenses; respond to objections with evidence-based reasoning covering feasibility, risk, value, and operational readiness.</p><p>Partners with onshore leads to define win themes, differentiation, partner strategy, and competitive positioning.</p><p>Delivery Alignment &amp; Execution Readiness</p><p>Orchestrate solution validation with delivery architects, engineering leads, and security teams to ensure what is proposed can be delivered.</p><p>Ensure solution handoffs are structured: scope boundaries, architecture decisions, dependencies, quality gates, and delivery governance.</p><p>Establish controls for delivery success: architecture governance, engineering standards, and measurable outcome tracking.</p><p>Solution Engineering &amp; Practice Enablement</p><p>Build reusable assets: reference architectures, discovery accelerators, proposal templates, and solution patterns for cloud-native + agentic AI.</p><p>Mentor architects and presales teams to improve solution quality, consistency, and speed-to-proposal.</p><p><br></p><p>Required Qualifications</p><p>14–16 years in presales, architecture, or consulting with experience shaping enterprise-scale deals and modernization programs.</p><p>Strong cloud-native architecture capability: Kubernetes, microservices, API management, event-driven systems, CI/CD, IaC, observability, resiliency.</p><p>Demonstrated experience designing GenAI/Agentic AI solutions, including RAG, orchestration/tool-use, evaluation, monitoring, and guardrails.</p><p>Practical understanding of Agentic SDLC and how agentic approaches affect engineering workflow, quality gates, security controls, and operational readiness.</p><p>Strong grounding in enterprise architecture fundamentals: security, privacy, compliance, resiliency, performance engineering, and cost management.</p><p>Demonstrated ability to produce executive-ready deliverables: proposals, SOW inputs, roadmaps, architecture diagrams, and estimates.</p><p><br></p><p>Preferred Qualifications</p><p>Microsoft-first enterprise experience (Azure ecosystem; Azure Foundry, AKS (Azure Kubernetes Service), Azure API Management, Azure DevOps/GitHub).</p><p>Experience with Responsible AI controls: evaluation, safety testing, governance, human-in-the-loop, monitoring, and auditability.</p><p>Experience with DevSecOps, GitHub and software supply chain security patterns in enterprise environments.</p><p>Certifications: Azure Solutions Architect Expert, Kubernetes (CKAD), AI/ML credentials (preferred).</p><p>What Success Looks Like (First 90–180 Days)</p><p>Supports multiple pursuits where stakeholders see clear alignment between business outcomes, architecture, and delivery feasibility.</p><p>Improves proposal quality through stronger scope discipline, estimation rigor, and risk framing.</p><p>Establishes reusable solution patterns across Cloud Native + Agentic AI + Agentic SDLC and applies them consistently in pursuits.</p><p>Enable smoother delivery transitions through complete, structured handoffs and governance readiness.</p><p>Working Style &amp; 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