Presales Architect – Cloud Native and Agentic AI Solutions

WinWire; Bengaluru; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

WinWire is looking for a Presales Architect – Cloud Native and Agentic AI Solutions in Bengaluru, India. This senior role requires expertise in generating client-driven proposals, developing cloud-native architectures, and shaping complex deals that incorporate Generative AI solutions. Successful candidates will have 14–16 years of experience and will lead end-to-end solutioning processes.

The ideal candidate possesses strong communication skills, expertise in Kubernetes, and a deep understanding of establishing governance frameworks and reusable solution patterns. This position focuses on driving successful client outcomes and delivering proposals that are operationally executable.

Qualifications

• 14–16 years in presales or architecture with experience in enterprise deals.
• Strong capability in cloud-native architectures, including microservices.
• Experience designing GenAI/Agentic AI solutions and understanding of Agentic SDLC.

Responsibilities

• Lead client discussions and align business priorities with solutions.
• Architect enterprise solutions across cloud-native and agentic AI domains.
• Own presales deliverables and support proposal development.

Skills

Client Engagement & Communication

Cloud-Native Architecture

GenAI/Agentic AI Solutions

DevSecOps Knowledge

Proposal Development

Tools

Kubernetes

Azure

CI/CD

API Management

Job description

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. 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. This is a senior individual contributor role with significant influence across pursuits and reusable asset development.

Key Responsibilities

• Client Engagement, Value Framing & Executive Communication: lead client discussions to align business priorities, transformation outcomes, and decision criteria; translate objectives into a clear solution storyline for BDMs and TDMs; facilitate workshops to drive alignment, articulate trade‑offs, and enable timely decisions.
• End‑to‑End Solution Architecture: architect enterprise solutions across cloud‑native and agentic AI domains, including microservices, API‑first design, event‑driven integration, Kubernetes, CI/CD, IaC, observability, and modernization strategies; design agentic workflows, orchestration patterns, RAG, evaluation frameworks, and guardrails.
• Agentic SDLC Enablement: embed agent‑assisted engineering, quality engineering, DevSecOps, and SRE readiness; define governance, controls, and NFRs across security, privacy, compliance, reliability, performance, and cost.
• Pursuit Support & Proposal Development: own presales deliverables (solution approach, reference architecture, roadmap, staffing plan, estimates, risk register); drive scope clarity and packaging; support bid responses and oral defenses with evidence‑based reasoning; collaborate on win themes and competitive positioning.
• Delivery Alignment & Execution Readiness: orchestrate solution validation with delivery architects, engineering leads, and security teams; structure handoffs with scope boundaries, decisions, and governance; establish controls for delivery success.
• Solution Engineering & Practice Enablement: build reusable assets such as reference architectures, discovery accelerators, templates, and solution patterns; mentor architects and presales teams to improve quality, consistency, and speed to proposal.

Required Qualifications

• 14–16 years in presales, architecture, or consulting with experience shaping enterprise‑scale deals and modernization programs.
• Strong cloud‑native architecture capability (Kubernetes, microservices, API management, event‑driven systems, CI/CD, IaC, observability, resilience).
• Demonstrated experience designing GenAI/Agentic AI solutions (RAG, orchestration, evaluation, monitoring, guardrails).
• Practical understanding of Agentic SDLC and its impact on engineering workflow, quality gates, security controls, and operational readiness.
• Solid foundation in enterprise architecture fundamentals (security, privacy, compliance, resilience, performance engineering, cost management).
• Proven ability to produce executive‑ready deliverables (proposals, SOW inputs, roadmaps, architecture diagrams, estimates).

Preferred Qualifications

• Microsoft‑first enterprise experience (Azure ecosystem, Azure Foundry, AKS, Azure API Management, Azure DevOps/GitHub).
• Experience with Responsible AI controls (evaluation, safety testing, governance, human‑in‑the‑loop, monitoring, auditability).
• Experience with DevSecOps, GitHub, and software supply chain security patterns in enterprise environments.
• Certifications: Azure Solutions Architect Expert, Kubernetes (CKAD), AI/ML credentials (preferred).

What Success Looks Like (First 90–180 Days)

• Supports multiple pursuits where stakeholders see clear alignment between business outcomes, architecture, and delivery feasibility.
• Improves proposal quality through stronger scope discipline, estimation rigor, and risk framing.
• Establishes reusable solution patterns across Cloud Native + Agentic AI + Agentic SDLC and applies them consistently in pursuits.
• Enables smoother delivery transitions through complete, structured handoffs and governance readiness.

Working Style & Expectations

• Outcome‑led, structured, and commercially grounded approach to solution design.
• Strong client communication and facilitation skills; credible with both business and technical leaders.
• Collaborative across onshore/offshore teams, Sales, Delivery, Security, and partner ecosystem teams to drive pursuit success.