Locations: Bangalore, Gurugram, Hyderabad, Pune, Chennai, Noida

We are currently seeking an AMS Presales Solution Architect to shape enterprise application maintenance and support deals. You will translate client application portfolios, support demand, and business priorities into a deliverable service model, a defensible cost estimate, and a practical transformation roadmap. You will own the solution through discovery, proposal development, client defence, and handover to delivery.

The role combines application support expertise with commercial judgement. You will design how AI, agentic workflows, automation, and reliability engineering improve service quality and reduce avoidable effort, with explicit implementation costs, dependencies, and evidence for the expected benefits. Application services are the core scope; cloud and infrastructure specialists support integrated pursuits.

Your Impact

- Lead AMS pursuits from qualification and RFI/RFP analysis through solution reviews, final bid revisions, and delivery handover. Define scope, assumptions, exclusions, dependencies, and contractual responsibilities.
- Run discovery workshops and assess application portfolios, ticket history, business criticality, technical debt, release demand, existing SLAs, and current support costs. Identify gaps in client data and test the assumptions used in the bid.
- Design L1, L2, and L3 support responsibilities, service hours, on-call arrangements, escalation paths, and interfaces with business teams, service desk, product engineering, infrastructure, and vendors. Include maintenance, minor enhancements, and release support where contracted.
- Build bottom-up effort and staffing estimates using ticket volumes, handling effort, complexity, backlog, non-ticket activities, coverage constraints, utilization, and skill mix. Cross-check with application and benchmark sizing; estimate enhancements separately using story or effort-based methods.
- Shape commercial options with finance and sales, including managed capacity, fixed-price services, consumption-based models, and outcome-linked elements where measurable. Model transition costs, tooling, transformation investment, multi-year productivity, margin, and demand sensitivity.
- Define transition waves, knowledge transfer, shadow and reverse-shadow support, readiness criteria, staffing ramp-up, and service acceptance. Address incumbent dependencies and continuity risks before committing to the delivery plan.
- Develop AI-led AMS solutions for ticket classification and triage, retrieval from approved knowledge, incident investigation assistance, knowledge creation, and controlled runbook execution. Explain each workflow, integration, evaluation method, escalation route, and operational owner.
- Distinguish deterministic automation, AIOps,



GenAI assistance, and agentic execution. Specify access controls, permitted actions, approval thresholds, audit trails, fallback, and rollback for actions that affect production. Quantify net benefits after platform, model, integration, and operating costs.
- Create a phased transformation roadmap covering recurring problem elimination, shift-left support, observability, SRE practices, test and release automation, and targeted modernization. Establish baselines and measurable outcomes without counting the same productivity benefit twice.
- Produce executive summaries, service architecture, operating models, staffing plans, pricing assumptions, transition plans, and value cases. Present and defend the solution to client business and technology leaders and respond to commercial and technical challenges.
- Coordinate sales, delivery, engineering, security, cloud, AI, finance, and partner teams. Obtain delivery validation of the staffing and transformation commitments, then transfer an agreed solution baseline to the delivery team.
- Build reusable estimation models, AMS reference architectures, proposal assets, and industry use cases; improve them using pursuit outcomes and delivery feedback.

Essential requirements

- 12 or more years of relevant IT experience, including at least 5 years in AMS presales or managed services solution architecture, with personal ownership of enterprise application support pursuits. Comparable experience is considered where the candidate can demonstrate the same depth.
- Demonstrable ownership of RFP responses, solution design, effort and FTE estimation, pricing inputs, client presentations, and delivery handover. Able to explain personal contribution, deal scale, assumptions, and the decisions made.
- Strong understanding of application support operations and ITIL practices, including incident, request, problem, change, knowledge, and service-level management. Experience designing global delivery, shared services, and support across time zones.
- Ability to build and challenge spreadsheet-based resource and cost models, distinguish workload from minimum coverage, and evaluate demand, effort, staffing, and savings scenarios.
- Working knowledge of enterprise application architecture and support dependencies across custom applications, integrations, databases, batch processing, and packaged platforms.



Able to coordinate specialist teams across a mixed technology portfolio.
- Practical understanding of Agile, DevSecOps, observability, SRE, and application modernization sufficient to design an executable improvement roadmap and explain service and cost implications.
- Ability to design and cost an AI or agentic AMS use case, explain required data and ITSM integrations, define evaluation and production controls, and show a credible benefit case. Using AI only to draft proposals does not establish this capability.
- Strong client communication and workshop facilitation. Able to defend assumptions, negotiate scope trade-offs, and align senior stakeholders while leading several pursuits.

Set Yourself Apart With

- An implemented AMS automation, GenAI, or agentic workflow with evidence of service improvement, effort reduction, and operational adoption; experience moving from pilot to production.

- Experience with ticket analytics, application portfolio assessment, vendor consolidation, complex transitions, or large outsourcing deals.
- Experience integrating ITSM, observability, knowledge, and automation platforms, such as ServiceNow, Dynatrace, AppDynamics, Splunk, or equivalent tools. Familiarity with retrieval-augmented generation and tool or API orchestration.
- Exposure to cloud operations, FinOps, ERP or CRM support, digital commerce, or industry-specific applications. ITIL, cloud, or architecture certifications are advantageous.

Perks of Working Here

Flexible work arrangements; generous paid time off; comprehensive health and wellness support; an inclusive work culture; and career development opportunities.

A Tip from the Hiring Manager

Come prepared to walk us through an AMS proposal you personally shaped. Explain how you arrived at the team size and price, managed transition risk, and linked transformation investments to achievable benefits. We will also ask you to design an AI-assisted or agentic support workflow and explain how it would operate safely and economically in production.

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

📌 Presales Solution Architect - Application Managed Services (Bengaluru)
🏢 Publicis Sapient
📍 Bengaluru